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Asok A, Chandrashekhara SH, Sharma R, Thulkar S, Bhalla AS, Sudhakaran D, Kandasamy D, Kumar L, Kumar S, Arava S. Role of Diffusion Weighted Magnetic Resonance Imaging in Oral Cancer in Predicting Response to Neoadjuvant Chemotherapy. Indian J Otolaryngol Head Neck Surg 2025; 77:2352-2362. [PMID: 40420903 PMCID: PMC12103455 DOI: 10.1007/s12070-025-05511-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2025] [Accepted: 04/16/2025] [Indexed: 05/28/2025] Open
Abstract
To downstage the locally advanced or inoperable oral cancer, neoadjuvant chemotherapy (NACT) is required. Early response assessment to chemoradiotherapy is needed to avoid unnecessary treatment in patients who are nonresponders. We conducted a prospective study to evaluate the role of diffusion weighted imaging (DWI) in predicting the response after NACT in locally advanced carcinoma of oral cavity. After ethical approval, A total of 19 patients were enrolled for the study. MRI were performed using T1W, T2W, T1W post contrast and DW images (b values b0, 100, 500, and 1000 sec/mm2). Timing of scans were fixed as- pretreatment, 2 weeks after the initiation of first cycle of NACT after 3rd cycle of NACT. ADC values of the tumors were assessed in each scan. The mean age of the population was 46 years and majority were males. In our study, most patients had buccal mucosal cancer (13 patients). Patients with stable disease and progressive disease were labelled as non-responders, whereas patients with partial response and complete response were designated as responders. In our study, 11 patients were responders and 8 patients were non-responders. There was a significant difference between the baseline ADC values of responders and non-responders (p value = 0. 017). The increase in the mean absolute ADC and nADC values at the early time point was greater in the responders than the non-responders, and the difference was statistically significant (p values = 0.05 and 0.04 respectively). There was a significant difference between the baseline ADC values of responders and non-responders (p value = 0. 017). ADC values of diffusion weighted MRI can be utilized to predict the response to neoadjuvant chemotherapy in squamous cell carcinoma of oral cavity as masses with high baseline ADC values are less likely to respond to chemotherapy.
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Affiliation(s)
- Aswathi Asok
- Department of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India
| | - S. H. Chandrashekhara
- Department of Radio-Diagnosis (IRCH) , All India Institute of Medical Sciences, New Delhi, India
| | - Raju Sharma
- Department of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India
| | - Sanjay Thulkar
- Department of Radio-Diagnosis (IRCH) , All India Institute of Medical Sciences, New Delhi, India
| | - Ashu Seith Bhalla
- Department of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India
| | - Dipin Sudhakaran
- Department of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India
| | | | - Lalit Kumar
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Sunil Kumar
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Sudheer Arava
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, 110029 India
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Allen TJ, van der Heijden RA, Simchick G, Hernando D. Reproducibility of liver ADC measurements using first moment optimized diffusion imaging. Magn Reson Med 2025; 93:1568-1584. [PMID: 39529300 PMCID: PMC11782722 DOI: 10.1002/mrm.30372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 09/23/2024] [Accepted: 10/22/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Cardiac-induced liver motion can bias liver ADC measurements and compromise reproducibility. The purpose of this work was to enable motion-robust DWI on multiple MR scanners and assess reproducibility of the resulting liver ADC measurements. METHODS First moment-optimized diffusion imaging (MODI) was implemented on three MR scanners with various gradient performances and field strengths. MODI-DWI and conventional Stejskal-Tanner monopolar (MONO) DWI were acquired in eight (N = 8) healthy volunteers on each scanner, and DWI repetitions were combined using three different averaging methods. For each combination of scanner, acquisition, and averaging method, ADC measurements from each liver segment were collected. Systematic differences in ADC values between scanners and methods were assessed with linear mixed effects modeling, and reproducibility was quantified via reproducibility coefficients. RESULTS MODI reduced left-right liver lobe ADC bias from 0.43 × 10-3 mm2/s (MONO) to 0.19 × 10-3 mm2/s (MODI) when simple (unweighted) repetition averaging was used. The bias was reduced from 0.23 × 10-3 mm2/s to 0.06 × 10-3 mm2/s using weighted averaging, and 0.14 × 10-3 mm2/s to 0.01 × 10-3 mm2/s using squared weighted averaging. There was no significant difference in ADC measurements between field strengths or scanner gradient performance. MODI improved reproducibility coefficients compared to MONO: 0.84 × 10-3 mm2/s vs. 0.63 × 10-3 mm2/s (MODI vs. MONO) for simple averaging, 0.66 × 10-3 mm2/s vs. 0.50 × 10-3 mm2/s for weighted averaging, and 0.61 × 10-3 mm2/s vs. 0.47 × 10-3 mm2/s for squared weighted averaging. CONCLUSION The feasibility of motion-robust liver DWI using MODI was demonstrated on multiple MR scanners. MODI improved interlobar agreement and reproducibility of ADC measurements in a healthy cohort.
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Affiliation(s)
- Timothy J. Allen
- Department of Medical PhysicsUniversity of Wisconsin‐Madison
MadisonWisconsinUSA
| | - Rianne A. van der Heijden
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Radiology and Nuclear MedicineErasmus University Medical CenterRotterdamThe Netherlands
| | - Gregory Simchick
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Diego Hernando
- Department of Medical PhysicsUniversity of Wisconsin‐Madison
MadisonWisconsinUSA
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Ginocchio LA, Jaglan S, Tong A, Smereka PN, Benkert T, Chandarana H, Shanbhogue KP. Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion Detection. J Comput Assist Tomogr 2024; 48:853-858. [PMID: 38722777 DOI: 10.1097/rct.0000000000001622] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
OBJECTIVE To perform image quality comparison between deep learning-based multiband diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted sequence (accelerated mb-DWI), and conventional multiband diffusion-weighted sequence (conventional mb-DWI) in patients undergoing clinical liver magnetic resonance imaging (MRI). METHODS Fifty consecutive patients who underwent clinical MRI of the liver at a 1.5-T scanner, between September 1, 2021, and January 31, 2022, were included in this study. Three radiologists independently reviewed images using a 5-point Likert scale for artifacts and image quality factors, in addition to assessing the presence of liver lesions and lesion conspicuity. RESULTS DL-mb-DWI acquisition time was 65.0 ± 2.4 seconds, significantly ( P < 0.001) shorter than conventional mb-DWI (147.5 ± 19.2 seconds) and accelerated mb-DWI (94.3 ± 1.8 seconds). DL-mb-DWI received significantly higher scores than conventional mb-DWI for conspicuity of the left lobe ( P < 0.001), sharpness of intrahepatic vessel margin ( P < 0.001), sharpness of the pancreatic contour ( P < 0.001), in-plane motion artifact ( P = 0.002), and overall image quality ( P = 0.005) by reader 2. DL-mb-DWI received significantly higher scores for conspicuity of the left lobe ( P = 0.006), sharpness of the pancreatic contour ( P = 0.020), and in-plane motion artifact ( P = 0.042) by reader 3. DL-mb-DWI received significantly higher scores for strength of fat suppression ( P = 0.004) and sharpness of the pancreatic contour ( P = 0.038) by reader 1. The remaining quality parameters did not reach statistical significance for reader 1. CONCLUSIONS Novel diffusion-weighted MRI sequence with deep learning-based image reconstruction demonstrated significantly decreased acquisition times compared with conventional and accelerated mb-DWI sequences, while maintaining or improving image quality for routine abdominal MRI. DL-mb-DWI offers a potential alternative to conventional mb-DWI in routine clinical liver MRI.
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Affiliation(s)
- Luke A Ginocchio
- From the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY
| | - Sonam Jaglan
- From the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY
| | - Angela Tong
- From the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY
| | - Paul N Smereka
- From the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY
| | - Thomas Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Hersh Chandarana
- From the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY
| | - Krishna P Shanbhogue
- From the Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY
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van den Wildenberg L, Runderkamp BA, Seelen LWF, van Laarhoven HWM, Gosselink MWJM, van der Kemp WJM, Haj Mohammad N, Klomp DWJ, Prompers JJ. Measurement of metabolite levels and treatment-induced changes in hepatic metastases of gastro-esophageal cancer using 7-T phosphorus magnetic resonance spectroscopic imaging. NMR IN BIOMEDICINE 2024; 37:e5155. [PMID: 38616046 DOI: 10.1002/nbm.5155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 04/16/2024]
Abstract
Methods for early treatment response evaluation to systemic therapy of liver metastases are lacking. Tumor tissue often exhibits an increased ratio of phosphomonoesters to phosphodiesters (PME/PDE), which can be noninvasively measured by phosphorus magnetic resonance spectroscopy (31P MRS), and may be a marker for early therapy response assessment in liver metastases. However, with commonly used 31P surface coils for liver 31P MRS, the liver is not fully covered, and metastases may be missed. The objective of this study was to demonstrate the feasibility of 31P MRS imaging (31P MRSI) with full liver coverage to assess 31P metabolite levels and chemotherapy-induced changes in liver metastases of gastro-esophageal cancer, using a 31P whole-body birdcage transmit coil in combination with a 31P body receive array at 7 T. 3D 31P MRSI data were acquired in two patients with hepatic metastases of esophageal cancer, before the start of chemotherapy and after 2 (and 9 in patient 2) weeks of chemotherapy. 3D 31P MRSI acquisitions were performed using an integrated 31P whole-body transmit coil in combination with a 16-channel body receive array at 7 T, with a field of view covering the full abdomen and a nominal voxel size of 20-mm isotropic. From the 31P MRSI data, 12 31P metabolite signals were quantified. Prior to chemotherapy initiation, both PMEs, that is, phosphocholine (PC) and phosphoethanolamine (PE), were significantly higher in all metastases compared with the levels previously determined in the liver of healthy volunteers. After 2 weeks of chemotherapy, PC and PE levels remained high or even increased further, resulting in increased PME/PDE ratios compared with healthy liver tissue, in correspondence with the clinical assessment of progressive disease after 2 months of chemotherapy. The suggested approach may present a viable tool for early therapy (non)response assessment of tumor metabolism in patients with liver metastases.
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Affiliation(s)
| | - Bobby A Runderkamp
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Leonard W F Seelen
- Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Surgery, UMC Utrecht Cancer Center, Utrecht, The Netherlands
- Sint Antonius Hospital Nieuwegein, Regional Academic Cancer Center Utrecht, Utrecht, The Netherlands
| | - Hanneke W M van Laarhoven
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Medical Oncology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Mark W J M Gosselink
- Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wybe J M van der Kemp
- Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nadia Haj Mohammad
- Department of Medical Oncology, Utrecht Medical Center Utrecht, Utrecht, The Netherlands
| | - Dennis W J Klomp
- Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeanine J Prompers
- Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
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Van AT, McTavish S, Peeters JM, Weiss K, Makowski MR, Braren RF, Karampinos DC. Motion-induced phase-corrected homodyne reconstruction for partial Fourier single-shot diffusion-weighted echo planar imaging of the liver. NMR IN BIOMEDICINE 2024; 37:e5147. [PMID: 38561247 DOI: 10.1002/nbm.5147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 04/04/2024]
Abstract
Partial Fourier encoding is popular in single-shot (ss) diffusion-weighted (DW) echo planar imaging (EPI) because it enables a shorter echo time (TE) and, hence, improves the signal-to-noise-ratio. Motion during diffusion encoding causes k-space shifting and dispersion, which compromises the quality of the homodyne reconstruction. This work provides a comprehensive understanding of the artifacts in homodyne reconstruction of partial Fourier ss-DW-EPI data in the presence of motion-induced phase and proposes the motion-induced phase-corrected homodyne (mpc-hdyne) reconstruction method to ameliorate these artifacts. Simulations with different types of motion-induced phase were performed to provide an understanding of the potential artifacts that occur in the homodyne reconstruction of partial Fourier ss-DW-EPI data. To correct for the artifacts, the mpc-hdyne reconstruction is proposed. The algorithm recenters k-space, updates the partial Fourier factor according to detected global k-space shifts, and removes low-resolution nonlinear phase before the conventional homodyne reconstruction. The mpc-hdyne reconstruction is tested on both simulation and in vivo data. Motion-induced phase can cause signal overestimation, worm artifacts, and signal loss in partial Fourier ss-DW-EPI data with the conventional homodyne reconstruction. Simulation and in vivo data showed that the proposed mpc-hdyne reconstruction ameliorated artifacts, yielding higher quality DW images compared with conventional homodyne reconstruction. Based on the understanding of the artifacts in homodyne reconstruction of partial Fourier ss-DW-EPI data, the mpc-hdyne reconstruction was proposed and showed superior performance compared with the conventional homodyne reconstruction on both simulation and in vivo data.
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Affiliation(s)
- Anh T Van
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Sean McTavish
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | | | | | - Marcus R Makowski
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Rickmer F Braren
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
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Karim S, Seidensticker R, Seidensticker M, Ricke J, Schinner R, Treitl K, Rübenthaler J, Ingenerf M, Schmid-Tannwald C. Role of diffusion-weighted imaging in response prediction and evaluation after high dose rate brachytherapy in patients with colorectal liver metastases. Radiol Oncol 2024; 58:33-42. [PMID: 38378033 PMCID: PMC10878766 DOI: 10.2478/raon-2024-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/04/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The aim of the study was to assess the role of diffusion-weighted imaging (DWI) to evaluate treatment response in patients with liver metastases of colorectal cancer. PATIENTS AND METHODS In this retrospective, observational cohort study, we included 19 patients with 18 responding metastases (R-Mets; follow-up at least one year) and 11 non-responding metastases (NR-Mets; local tumor recurrence within one year) who were treated with high-dose-rate brachytherapy (HDR-BT) and underwent pre- and post-interventional MRI. DWI (qualitatively, mean apparent diffusion coefficient [ADCmean], ADCmin, intraindividual change of ADCmean and ADCmin) were evaluated and compared between pre-interventional MRI, first follow-up after 3 months and second follow-up at the time of the local tumor recurrence (in NR-Mets, mean: 284 ± 122 d) or after 12 months (in R-Mets, mean: 387+/-64 d). Sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs) for detection of local tumor recurrence were calculated on second follow up, evaluating (1) DWI images only, and (2) DWI with Gd-enhanced T1-weighted images on hepatobiliary phase (contrast-enhanced [CE] T1-weight [T1w] hepatobiliary phase [hb]). RESULTS ADCmean significantly increased 3 months after HDR-BT in both groups (R-Mets: 1.48 ± 0.44 and NR-Mets: 1.49 ± 0.19 x 10-3 mm2;/s, p < 0.0001 and p = 0.01), however, intraindividual change of ADCmean (175% vs.127%, p = 0.03) and ADCmin values (0.44 ± 0.24 to 0.82 ± 0.58 x 10-3 mm2/s) significantly increased only in R-Mets (p < 0.0001 and p < 0.001). ADCmin was significant higher in R-Mets compared to NR-Mets on first follow-up (p = 0.04). Sensitivity (1 vs. 0.72), specificity (0.94 vs. 0.72), PPV (0.91 vs. 0.61) and NPV (1 vs. 0.81) could be improved by combining DWI with CE T1w hb compared to DWI only. CONCLUSIONS DW-MRI seems to be helpful in the qualitative and quantitative evaluation of treatment response after HDR-BT of colorectal metastases in the liver.
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Affiliation(s)
- Salma Karim
- Department of Radiology, University Hospital, LMU Munich, Germany
| | | | - Max Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Germany
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEntero-Pancreatic System at the University Hospital of Munich (GEPNET KUM), University Hospital of Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Germany
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEntero-Pancreatic System at the University Hospital of Munich (GEPNET KUM), University Hospital of Munich, Munich, Germany
| | - Regina Schinner
- Department of Radiology, University Hospital, LMU Munich, Germany
| | - Karla Treitl
- Department of Radiology, University Hospital, LMU Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital, LMU Munich, Germany
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEntero-Pancreatic System at the University Hospital of Munich (GEPNET KUM), University Hospital of Munich, Munich, Germany
| | - Maria Ingenerf
- Department of Radiology, University Hospital, LMU Munich, Germany
| | - Christine Schmid-Tannwald
- Department of Radiology, University Hospital, LMU Munich, Germany
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEntero-Pancreatic System at the University Hospital of Munich (GEPNET KUM), University Hospital of Munich, Munich, Germany
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Li Y, Zhang H, Yue L, Fu C, Grimm R, Li W, Guo W, Tong T. Whole tumor based texture analysis of magnetic resonance diffusion imaging for colorectal liver metastases: A prospective study for diffusion model comparison and early response biomarker. Eur J Radiol 2024; 170:111203. [PMID: 38007855 DOI: 10.1016/j.ejrad.2023.111203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/16/2023] [Accepted: 11/14/2023] [Indexed: 11/28/2023]
Abstract
PURPOSE To evaluate and compare the diagnostic value of diffusion-related texture analysis parameters obtained from various magnetic resonance diffusion models as early predictors of the clinical response to chemotherapy in patients with colorectal liver metastases (CRLM). METHODS Patients (n = 145) with CRLM were prospectively and consecutively enrolled and scanned using diffusion-weighted imaging (DWI)-magnetic resonance imaging (MRI)/intravoxel incoherent motion (IVIM)/diffusion kurtosis imaging (DKI) before (baseline) and two-three weeks after (follow-up) commencing chemotherapy. Therapy response was evaluated based on the Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1). The histogram and texture parameters of each diffusion-related parametric map were analysed between the responding and non-responding groups, screened using LASSO, and fitted with binary logistic regression models. The diagnostic efficacy of each model in the early prediction of CRLM was analysed, and the corresponding receiver operating characteristic (ROC) curve was drawn. The area under the curve (AUC) and 95% confidence intervals (CI) were calculated. RESULTS Of the 145 analysed patients, 69 were in the responding group and 76 were in the non-responding group. Among all models, the difference value based on the histogram and texture features of the DKI-derived parameters performed best for the early prediction of CRLM treatment efficacy. The AUC of the DKI model in the validation set reached 0.795 (95% CI 0.652-0.938). Among the IVIM-derived parameters, the difference model based on D and D* performed best, and the AUC in the validation set reached 0.737 (95% CI 0.586-0.889). Finally, in the DWI sequence, the model comprising baseline features performed the best, with an AUC of 0.699 (95% CI 0.537-0.86) in the validation set. CONCLUSIONS Baseline DWI parameters and follow-up changes in IVIM and DKI parameters predicted the chemotherapeutic response in patients with CRLM. In addition, as very early predictors, DKI-derived parameters were more effective than DWI- and IVIM-related parameters, in which changes in D-parameters performed best.
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Affiliation(s)
- Yue Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Huan Zhang
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Yue
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Caixia Fu
- MR Collaboration, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Wenhua Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Weijian Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Pandey A, Mohseni A, Shaghaghi M, Pandey P, Rezvani Habibabadi R, Hazhirkarzar B, Ly A, Panid Madani S, Borhani A, Kamel IR. Incremental value of volumetric multiparametric MRI over Fudan score for prognosis of unresectable intrahepatic cholangiocarcinoma treated with systemic chemotherapy. Eur J Radiol 2024; 170:111196. [PMID: 38029705 DOI: 10.1016/j.ejrad.2023.111196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/25/2023] [Accepted: 11/13/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Individualized patient care requires prognostic models customized to a tumor and an individual's disease profile for reliable survival prediction. MRI has prognostic value for intrahepatic cholangiocarcinoma (ICCA). Existing prognostic models for ICCA exclude imaging-based information about an individual's tumor that may reflect important aspects of tumor's biology. Fudan score, a prognostic model applicable to unresectable ICCA, is limited by subjective morphologic imaging parameters. OBJECTIVES To assess the prognostic value of baseline volumetric multiparametric MRI in unresectable intrahepatic cholangiocarcinoma (ICCA) treated with systemic chemotherapy and the incremental value of MRI over the Fudan score. METHODS This retrospective study included 114 ICCA patients treated with systemic chemotherapy between 2007 and 2021 after a baseline MRI. The single largest tumor was volumetrically assessed for anatomic (total tumor volume and diameter) and functional parameters (viable tumor volume, percentage-viable tumor volume, viable tumor burden, and ADC). A derivation cohort of 30 patients was utilized to identify MRI parameters associated with overall survival (OS) using Cox regression analysis. The incremental value of MRI over Fudan score was assessed on an independent sub-cohort of 84 patients using Kaplan-Meier analysis and C-index. RESULTS 114 patients (64 years +/- 11; 61 women) were evaluated. Pre-treatment high (>1350x10-6 mm2/sec) ADC was the only independent predictor of OS (HR, 8.07; P < 0.001). Replacing subjective tumor boundary with objective ADC value, and using modified biochemical thresholds increased the prognostic stratification for the risk groups in the modified ADC-Fudan model compared to the original Fudan model (median survival 12 and 4.5 months; P = 0.055; vs. 11 and 3 months; P < 0.001). The modified ADC-Fudan model demonstrated an 11 % improvement over the original Fudan model (c-index: 0.80 vs. 0.69; P = 0.044) for survival prediction. CONCLUSIONS High pre-treatment volumetric ADC was associated with unfavorable prognosis in patients with unresectable intrahepatic cholangiocarcinoma treated with systemic chemotherapy. Supplementing the original Fudan model with ADC and modified serum marker thresholds improved the survival prediction performance by 11% in the resulting modified ADC-Fudan model. CLINICAL IMPACT Volumetric MRI could improve the survival prediction among ICCA patients prior to receiving potentially toxic and expensive palliative chemotherapies. This could potentially guide individualized therapy for this patient cohort.
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Affiliation(s)
- Ankur Pandey
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene St, Baltimore, MD 21201, USA.
| | - Alireza Mohseni
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Mohammadreza Shaghaghi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Pallavi Pandey
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA
| | - Roya Rezvani Habibabadi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Bita Hazhirkarzar
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Andrew Ly
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Seyedeh Panid Madani
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Ali Borhani
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
| | - Ihab R Kamel
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287, USA.
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Karim H, Thormann M, Omari J, Surov A, Schinner R, Seidensticker R, Ingenerf M, Ricke J, Schmid-Tannwald C. Diffusion-weighted MRI (DWI) for assessment of response to high-dose-rate CT-guided brachytherapy (HDR-BT) of hepatocellular carcinoma. Acta Radiol 2024; 65:14-22. [PMID: 36843430 DOI: 10.1177/02841851231154498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
BACKGROUND High-dose-rate computed tomography (CT)-guided brachytherapy (HDR-BT) has shown promising results in patients with hepatocellular carcinoma (HCC). While growing evidence shows clear limitations of mRECIST, diffusion-weighted imaging (DWI) has relevant potential in improving the response assessment. PURPOSE To assess whether DWI allows evaluation of short- and long-term tumor response in patients with HCC after HDR-BT. MATERIAL AND METHODS A total of 22 patients with 11 non-responding HCCs (NR-HCC; local tumor recurrence within two years) and 24 responding HCCs (R-HCC; follow-up at least two years) were included in this retrospective bi-center study. HCCs were treated with HDR-BT and patients underwent pre- and post-interventional magnetic resonance imaging (MRI). Analyses of DWI were evaluated and compared between pre-interventional MRI, 1.follow-up after 3 months and 2.follow-up at the time of the local tumor recurrence (in NR-HCC) or after 12 months (in R-HCC). RESULTS ADCmean of R-HCC increased significantly after HDR-BT on the first and second follow-up (ADCmean: 0.87 ± 0.18 × 10-3 mm2/s [pre-interventional]: 1.14 ± 0.23 × 10-3 mm2/s [1. post-interventional]; 1.42 ± 0.32 × 10-3 mm2/s [2. post-interventional]; P < 0.001). ADCmean of NR-HCC did not show a significant increase from pre-intervention to 1. post-interventional MRI (ADCmean: 0.85 ± 0.24 × 10-3 mm2/s and 1.00 ± 0.30 × 10-3 mm2/s, respectively; P = 0.131). ADCmean increase was significant between pre-intervention and 2. follow-up (ADCmean: 1.03 ± 0.19 × 10-3 mm2/s; P = 0.018). There was no significant increase of ADCmean between the first and second follow-up. There was, however, a significant increase of ADCmin after 12 months (ADCmin: 0.87 ± 0.29 × 10-3 mm2/s) compared to pre-interventional MRI and first follow-up (P < 0.005) only in R-HCC. CONCLUSION The tumor response after CT-guided HDR-BT was associated with a significantly higher increase in ADCmean and ADCmin in short- and long-term follow-up.
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Affiliation(s)
- Homeira Karim
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Maximilian Thormann
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Jazan Omari
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Alexey Surov
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Regina Schinner
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | | | - Maria Ingenerf
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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Cavalcante CEB, Magalhães Pereira Souza F, Eiras Martins G, Milone Silva M, Pacheco Donato Macedo CR, Lederman H, Lopes LF. Diffusion-weighted imaging in pediatric extracranial germ cell tumors. PLoS One 2023; 18:e0294976. [PMID: 38033015 PMCID: PMC10688858 DOI: 10.1371/journal.pone.0294976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 11/13/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Germ cell tumors (GCTs) comprise a rare and heterogeneous group of neoplasms presenting different clinical and histological characteristics, leading to a challenging scenario in clinical practice. Diffusion-weighted imaging (DWI) has been suggested as an indirect marker of tumor density and cellularity and could be used to monitor therapeutic response. However, its role in pediatric GCTs needs to be clarified. PURPOSE Here, we evaluated the features of DWI in pediatric extracranial GCTs in a reference Brazilian institution. MATERIAL AND METHODS We included 43 pediatric patients with primary GCTs treated between 2008 and 2022 in Hospital de Amor de Barretos. The patients' MRI images included T1-weighted without contrast, T2-weighted, DWI and apparent diffusion coefficient (ADC) maps. DWI was evaluated in the section that exhibited the greatest restricted diffusion in the largest hypersignal area of the image. The lowest ADC value was determined to define the region of interest (ROI). We used a small ROI, avoiding necrotic, adipose tissue, noisy or nonenhancing lesion voxels as recommended. ROI determination was established by visual inspection by two radiologists in accordance. We used two values of b (b = 50 mm2/s or b = 800) for ADC values. RESULTS The highest mean ADC (mADC) value was observed in pure teratomas (1,403.50 ± 161.76 x10-3 mm2/s; mean ± SD) compared to other histologies (yolk sac, mixed teratoma, dysgerminoma and mixed GCT) of GCT (p<0.001). Furthermore, ROC analysis determined a cutoff mADC value of 1,179.00 x 10-3 mm2/s that differentiated pure teratomas from the other GCT histologies with a sensitivity of 95.8% and a specificity of 92.9% (AUC = 0.979; p<0.01). A significant increase in mADC was observed for malignant GCTs in treatment (1,197.00 ± 372.00 mm2/s; p<0.001) compared to that exhibited at the time of diagnosis (780.00 ± 168.00 mm2/s; mean ± SD. Our findings suggest that mADC assessment could be used as a tool to distinguish pure teratomas from malignant CGT histologies at diagnosis. Additionally, we demonstrated reasonable evidence that it could be used as a complementary tool to monitor treatment response in patients with malignant GCT.
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Affiliation(s)
- Carlos Eduardo Bezerra Cavalcante
- Department of Pediatric Radiology, Children’s Cancer Hospital, Hospital de Amor, Barretos, São Paulo, Brazil
- Pediatric Oncology, Children’s Cancer Hospital, Hospital de Amor, Barretos, São Paulo, Brazil
- Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
| | - Fernanda Magalhães Pereira Souza
- Department of Pediatric Radiology, Children’s Cancer Hospital, Hospital de Amor, Barretos, São Paulo, Brazil
- Pediatric Oncology, Children’s Cancer Hospital, Hospital de Amor, Barretos, São Paulo, Brazil
- Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
| | - Gisele Eiras Martins
- Pediatric Oncology, Children’s Cancer Hospital, Hospital de Amor, Barretos, São Paulo, Brazil
- Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
| | - Marcelo Milone Silva
- Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
- Centro de Tratamento Fabiana Macedo de Morais/GACC, São Jose dos Campos, São Paulo, Brazil
| | - Carla Renata Pacheco Donato Macedo
- Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
- Instituto de Oncologia Pediatrica - GRAACC, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Henrique Lederman
- Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
- Department of Radiology, Grupo de Apoio ao Adolescente e à Criança com Câncer (GRAACC), Sao Paulo, Brazil
| | - Luiz Fernando Lopes
- Pediatric Oncology, Children’s Cancer Hospital, Hospital de Amor, Barretos, São Paulo, Brazil
- Chairman, Brazilian Germ Cell Pediatric Study Group, Hospital de Amor, Barretos, São Paulo, Brazil
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11
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Maino C, Vernuccio F, Cannella R, Cortese F, Franco PN, Gaetani C, Giannini V, Inchingolo R, Ippolito D, Defeudis A, Pilato G, Tore D, Faletti R, Gatti M. Liver metastases: The role of magnetic resonance imaging. World J Gastroenterol 2023; 29:5180-5197. [PMID: 37901445 PMCID: PMC10600959 DOI: 10.3748/wjg.v29.i36.5180] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 08/28/2023] [Accepted: 09/11/2023] [Indexed: 09/20/2023] Open
Abstract
The liver is one of the organs most commonly involved in metastatic disease, especially due to its unique vascularization. It's well known that liver metastases represent the most common hepatic malignant tumors. From a practical point of view, it's of utmost importance to evaluate the presence of liver metastases when staging oncologic patients, to select the best treatment possible, and finally to predict the overall prognosis. In the past few years, imaging techniques have gained a central role in identifying liver metastases, thanks to ultrasonography, contrast-enhanced computed tomography (CT), and magnetic resonance imaging (MRI). All these techniques, especially CT and MRI, can be considered the non-invasive reference standard techniques for the assessment of liver involvement by metastases. On the other hand, the liver can be affected by different focal lesions, sometimes benign, and sometimes malignant. On these bases, radiologists should face the differential diagnosis between benign and secondary lesions to correctly allocate patients to the best management. Considering the above-mentioned principles, it's extremely important to underline and refresh the broad spectrum of liver metastases features that can occur in everyday clinical practice. This review aims to summarize the most common imaging features of liver metastases, with a special focus on typical and atypical appearance, by using MRI.
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Affiliation(s)
- Cesare Maino
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Federica Vernuccio
- University Hospital of Padova, Institute of Radiology, Padova 35128, Italy
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
| | - Francesco Cortese
- Unit of Interventional Radiology, F Miulli Hospital, Acquaviva delle Fonti 70021, Italy
| | - Paolo Niccolò Franco
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Clara Gaetani
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Valentina Giannini
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Inchingolo
- Unit of Interventional Radiology, F Miulli Hospital, Acquaviva delle Fonti 70021, Italy
| | - Davide Ippolito
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
- School of Medicine, University of Milano Bicocca, Milano 20100, Italy
| | - Arianna Defeudis
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Giulia Pilato
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
| | - Davide Tore
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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12
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Lu N, Jiang YF, Xia WX, Huang Y, Xie CM, Xu C, Ye YF, Liu GY, Bei WX, Ke LR, Li WZ, Zhang C, Wang X, Liu Q, Chen X, Chen ZX, Xie C, Liang H, Xiang YQ. Efficacy and safety of sintilimab plus bevacizumab in metastatic nasopharyngeal carcinoma after failure of platinum-based chemotherapy: an open-label phase 2 study. EClinicalMedicine 2023; 62:102136. [PMID: 37593221 PMCID: PMC10430191 DOI: 10.1016/j.eclinm.2023.102136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/08/2023] [Accepted: 07/19/2023] [Indexed: 08/19/2023] Open
Abstract
Background There are limited treatment options for patients with metastatic nasopharyngeal carcinoma (mNPC) after failure of platinum-based chemotherapy. In this trial, we assessed the efficacy and safety of sintilimab plus bevacizumab in patients with mNPC where platinum-based chemotherapy has been ineffective. Methods This was a single-centre, open-label, single-arm, phase 2 trial in Guangzhou, China for patients with mNPC progressed after at least one line of systemic therapy. Eligible patients were between 18 and 75 years old, were histologically confirmed differentiated or undifferentiated non-keratinized NPC, were ineffective after platinum-based chemotherapy, and they had at least one measurable metastatic lesion assessed with Response Evaluation Criteria in Solid Tumors Version 1.1 (RECIST V.1.1) by investigators and unsuitable for local surgery or radiotherapy. Key exclusion criterion was previous treatment with anti-PD-1/PD-L1 antibodies plus anti-VEGF antibodies and high risk of hemorrhage or nasopharyngeal necrosis. Patients were enrolled and received sintilimab (200 mg) plus bevacizumab (7.5 mg/kg) intravenously every 3 weeks. Intention-to-treat population was included in primary endpoint analyses and safety analyses. The primary endpoint was objective response rate (ORR) assessed by investigators following the guidelines of RECIST V1.1. Key secondary endpoints were progression-free survival (PFS), overall survival (OS), duration of response (DOR), and safety. This trial is registered with ClinicalTrials.gov (NCT04872582). Findings Between July 29, 2021 and August 16, 2022, 33 patients were enrolled. Median age was 46 years (range, 18-64 years), and 63.6% of patients had previously received two or more lines of chemotherapy for metastatic disease. Median follow-up was 7.6 months (range, 4.1-17.5 months). ORR was 54.5% (95% CI, 36.4-71.9%) with 3 complete responses (9.1%) and 15 partial responses (45.5%). Median PFS was 6.8 months (95% CI, 5.2 months to not estimable). Median DOR was 7.2 months (95% CI, 4.4 months to not estimable). Median OS was not reached. The most common potential immune-related adverse event (AE) was Grade 1-2 hypothyroidism (42.4%). Treatment-related grade 3 or 4 AEs occurred in 7 patients (21.2%), including nasal necrosis (3/33), hypertension (1/33), pruritus (1/33), total bilirubin increased (1/33) and anaphylactic shock (1/33). No treatment-related deaths and severe epistaxis occurred. Interpretation This phase 2 trial showed that sintilimab plus bevacizumab demonstrated promising antitumour activity and manageable toxicities in patients with mNPC after failure of platinum-based chemotherapy. Further trials are warranted, and the detailed mechanisms need to be elucidated. Funding The Guangdong Basic and Applied Basic Research Foundation, the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Science and Technology Planning Project of International Cooperation of Guangdong Province.
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Affiliation(s)
- Nian Lu
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yao-Fei Jiang
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Wei-Xiong Xia
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Ying Huang
- Department of Radiotherapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Chuan-Miao Xie
- Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Cheng Xu
- Department of Radiotherapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yan-Fang Ye
- Clinical Research Design Division, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Guo-Ying Liu
- Department of Radiotherapy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wei-Xin Bei
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Liang-Ru Ke
- Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Wang-Zhong Li
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Cheng Zhang
- Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Xin Wang
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, United States
| | - Qin Liu
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Xi Chen
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Zi-Xiong Chen
- Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Changqing Xie
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, United States
| | - Hu Liang
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yan-Qun Xiang
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
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Kayal EB, Alampally JT, Sharma R, Bakhshi S, Mehndiratta A, Kumar R, Chandrashekhara SH, Jana M, Bhalla AS, Sharma MC, Mridha AR, Vishnubhatla S, Kandasamy D. Chemotherapy response evaluation using diffusion weighted MRI in Ewing Sarcoma: A single center experience. Acta Radiol 2023; 64:1508-1517. [PMID: 36071615 DOI: 10.1177/02841851221124669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Non-invasive biomarkers for early chemotherapeutic response in Ewing sarcoma family of tumors (ESFT) are useful for optimizing existing treatment protocol. PURPOSE To assess the role of diffusion-weighted magnetic resonance imaging (MRI) in the early evaluation of chemotherapeutic response in ESFT. MATERIAL AND METHODS A total of 28 patients (mean age = 17.2 ± 5.6 years) with biopsy proven ESFT were analyzed prospectively. Patients underwent MRI acquisition on a 1.5-T scanner at three time points: before starting neoadjuvant chemotherapy (baseline), after first cycle chemotherapy (early time point), and after completion of chemotherapy (last time point). RECIST 1.1 criteria was used to evaluate the response to chemotherapy and patients were categorized as responders (complete and partial response) and non-responders (stable and progressive disease). Tumor diameter, absolute apparent diffusion coefficient (ADC), and normalized ADC (nADC) values in the tumor were measured. Baseline parameters and relative percentage change of parameters after first cycle chemotherapy were assessed for early detection of chemotherapy response. RESULTS The responder:non-responder ratio was 21:7. At baseline, ADC ([0.864 ± 0.266 vs. 0.977 ± 0.246]) × 10-3mm2/s; P = 0.205) and nADC ([0.740 ± 0.254 vs. 0.925 ± 0.262] × 10-3mm2/s; P = 0.033) among responders was lower than the non-responders and predicted response to chemotherapy with AUCs of 0.6 and 0.735, respectively. At the early time point, tumor diameter (27% ± 14% vs. 4.6% ± 10%; P = 0.002) showed a higher reduction and ADC (75% ± 44% vs. 52% ± 72%; P = 0.039) and nADC (81% ± 44% vs. 48% ± 67%; P = 0.008) showed a higher increase in mean values among responders than the non-responders and identified chemotherapy response with AUC of 0.890, 0.723, and 0.756, respectively. CONCLUSION Baseline nADC and its change after the first cycle of chemotherapy can be used as non-invasive surrogate markers of early chemotherapeutic response in patients with ESFT.
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Affiliation(s)
- Esha Baidya Kayal
- Centre for Biomedical Engineering, 28817Indian Institute of Technology Delhi, New Delhi, India
| | | | - Raju Sharma
- Department of Radiodiagnosis, 28730All India Institute of Medical Sciences, New Delhi, India
| | - Sameer Bakhshi
- Department of Medical Oncology, Dr B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), 28730All India Institute of Medical Sciences, New Delhi, India
| | - Amit Mehndiratta
- Centre for Biomedical Engineering, 28817Indian Institute of Technology Delhi, New Delhi, India
- Department of Biomedical Engineering, 28730All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar
- Department of Nuclear Medicine, 28730All India Institute of Medical Sciences, New Delhi, India
| | - S H Chandrashekhara
- Department of Medical Radiodiagnosis, Dr B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), 28730All India Institute of Medical Sciences, New Delhi, India
| | - Manisha Jana
- Department of Radiodiagnosis, 28730All India Institute of Medical Sciences, New Delhi, India
| | - Ashu Seith Bhalla
- Department of Radiodiagnosis, 28730All India Institute of Medical Sciences, New Delhi, India
| | - Mehar Chand Sharma
- Department of Pathology, 28730All India Institute of Medical Sciences, New Delhi, India
| | - Asit Ranjan Mridha
- Department of Pathology, 28730All India Institute of Medical Sciences, New Delhi, India
| | - Sreenivas Vishnubhatla
- Department of Biostatistics, 28730All India Institute of Medical Sciences, New Delhi, India
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14
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Caruso M, Stanzione A, Prinster A, Pizzuti LM, Brunetti A, Maurea S, Mainenti PP. Role of advanced imaging techniques in the evaluation of oncological therapies in patients with colorectal liver metastases. World J Gastroenterol 2023; 29:521-535. [PMID: 36688023 PMCID: PMC9850941 DOI: 10.3748/wjg.v29.i3.521] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/25/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023] Open
Abstract
In patients with colorectal liver metastasis (CRLMs) unsuitable for surgery, oncological treatments, such as chemotherapy and targeted agents, can be performed. Cross-sectional imaging [computed tomography (CT), magnetic resonance imaging (MRI), 18-fluorodexoyglucose positron emission tomography with CT/MRI] evaluates the response of CRLMs to therapy, using post-treatment lesion shrinkage as a qualitative imaging parameter. This point is critical because the risk of toxicity induced by oncological treatments is not always balanced by an effective response to them. Consequently, there is a pressing need to define biomarkers that can predict treatment responses and estimate the likelihood of drug resistance in individual patients. Advanced quantitative imaging (diffusion-weighted imaging, perfusion imaging, molecular imaging) allows the in vivo evaluation of specific biological tissue features described as quantitative parameters. Furthermore, radiomics can represent large amounts of numerical and statistical information buried inside cross-sectional images as quantitative parameters. As a result, parametric analysis (PA) translates the numerical data contained in the voxels of each image into quantitative parameters representative of peculiar neoplastic features such as perfusion, structural heterogeneity, cellularity, oxygenation, and glucose consumption. PA could be a potentially useful imaging marker for predicting CRLMs treatment response. This review describes the role of PA applied to cross-sectional imaging in predicting the response to oncological therapies in patients with CRLMs.
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Affiliation(s)
- Martina Caruso
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Napoli 80131, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Napoli 80131, Italy
| | - Anna Prinster
- Institute of Biostructures and Bioimaging, National Research Council, Napoli 80131, Italy
| | - Laura Micol Pizzuti
- Institute of Biostructures and Bioimaging, National Research Council, Napoli 80131, Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Napoli 80131, Italy
| | - Simone Maurea
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Napoli 80131, Italy
| | - Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging, National Research Council, Napoli 80131, Italy
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15
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Eriksson S, Bengtsson J, Torén W, Lätt J, Andersson R, Sturesson C. Changes in apparent diffusion coefficient and pathological response in colorectal liver metastases after preoperative chemotherapy. Acta Radiol 2023; 64:51-57. [PMID: 35084232 DOI: 10.1177/02841851221074496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The pathological response to preoperative chemotherapy of colorectal liver metastases (CRLMs) is predictive of long-term prognosis after liver resection. Accurate preoperative assessment of chemotherapy response could enable treatment optimization. PURPOSE To investigate whether changes in lesion-apparent diffusion coefficient (ADC) measured with diffusion-weighted magnetic resonance imaging (MRI) can be used to assess pathological treatment response in patients with CRLMs undergoing preoperative chemotherapy. MATERIAL AND METHODS Patients who underwent liver resection for CRLMs after preoperative chemotherapy between January 2011 and December 2019 were retrospectively included if they had undergone MRI before and after preoperative chemotherapy on the same 1.5-T MRI scanner with diffusion-weighted imaging with b-values 50, 400, and 800 s/mm2. The pathological chemotherapy response was assessed using the tumor regression grade (TRG) by AJCC/CAP. Lesions were divided into two groups: pathological responding (TRG 0-2) and non-responding (TRG 3). The change in lesion ADC after preoperative chemotherapy was compared between responding and non-responding lesions. RESULTS A total of 27 patients with 49 CRLMs were included, and 24/49 lesions showed a pathological chemotherapy response. After chemotherapy, ADC increased in both pathological responding (pretreatment ADC: 1.26 [95% confidence interval (CI)=1.06-1.37] vs. post-treatment ADC: 1.33 [95% CI=1.13-1.56] × 10-3 mm2/s; P = 0.026) and non-responding lesions (1.12 [95% CI=0.980-1.21] vs. 1.20 [95% CI=1.09-1.43] × 10-3 mm2/s; P = 0.018). There was no difference in median relative difference in ADC after chemotherapy between pathological responding and non-responding lesions (15.8 [95% CI=1.42-26.3] vs. 7.17 [95% CI=-4.31 to 31.2]%; P = 0.795). CONCLUSION Changes in CRLM ADCs did not differ between pathological responding and non-responding lesions.
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Affiliation(s)
- Sam Eriksson
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
- Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
| | - Johan Bengtsson
- Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - William Torén
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Jimmy Lätt
- Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
| | - Roland Andersson
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Christian Sturesson
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
- Division of Surgery, Department of Clinical Science, Intervention, and Technology (CLINTEC), Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
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16
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Wang Y, Zhang S, Yu W, Wang Y, Yan F, Yang B. The role of ADC value and Ki-67 index in predicting the response to neoadjuvant chemotherapy in advanced stages of olfactory neuroblastoma. Br J Radiol 2022; 95:20220367. [PMID: 36240450 PMCID: PMC9733604 DOI: 10.1259/bjr.20220367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/09/2022] [Accepted: 09/26/2022] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES To investigate the efficacy of pretreatment ADC and Ki-67 index in the prediction of the response to neoadjuvant chemotherapy (NACT) in advanced olfactory neuroblastoma (ONB) patients. METHODS A total of 21 advanced ONB patients (mean 43.48 years ± 14.26; range 25-69 years; 13 men and 8 women) with diffusion-weighted imaging (DWI) before NACT between June 2015 and October 2021 were retrospectively analyzed. Patients were categorized into responders and non-responders according to RECIST 1.1 after two cycles of NACT. The clinical data, ADCmean value, and Ki-67 index were analyzed. RESULTS Kadish stage, ADCmean value, and Ki-67 index showed statistical significance between responders and non-responders. Patients with Kadish C stage were more likely to respond to platinum-based NACT (p = 0.035). Patients with the lower ADCmean value showed response to NACT (p = 0.002) and the cutoff point was 1.04 × 10-3 mm2/s. Patients with the higher Ki-67 index showed response to NACT (p = 0.003) and the cutoff point was 17.5%. Predictive performance of Ki-67 index and ADCmean value showed no significance between responders and non-responders (p = 0.865). A significant negative correlation was found between ADCmean value and Ki-67 index (r = -0.539, p = 0.038). CONCLUSIONS The pretreatment ADCmean value, Ki-67 index and Kadish stage have the potential to predict the response to NACT in advanced ONB patients. ADVANCES IN KNOWLEDGE This is the first study that investigated the feasibility of DWI in predicting the response to NACT in ONB patients and showed that Kadish stage, pretreatment ADCmean and Ki-67 index may play an important role in the prediction.
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Affiliation(s)
- Yuan Wang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 Dongjiaominxiang, Dongcheng District, Beijing, China
| | - Shurong Zhang
- Department of Oncology, Beijing Tongren Hospital, Capital Medical University, No.1 Dongjiaominxiang, Dongcheng District, Beijing, China
| | - Wenling Yu
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 Dongjiaominxiang, Dongcheng District, Beijing, China
| | - Yongzhe Wang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 Dongjiaominxiang, Dongcheng District, Beijing, China
| | - Fei Yan
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 Dongjiaominxiang, Dongcheng District, Beijing, China
| | - BenTao Yang
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No.1 Dongjiaominxiang, Dongcheng District, Beijing, China
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17
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Hafeez S, Koh M, Jones K, Ghzal AE, D’Arcy J, Kumar P, Khoo V, Lalondrelle S, McDonald F, Thompson A, Scurr E, Sohaib A, Huddart RA. Diffusion-weighted MRI to determine response and long-term clinical outcomes in muscle-invasive bladder cancer following neoadjuvant chemotherapy. Front Oncol 2022; 12:961393. [PMID: 36452501 PMCID: PMC9702046 DOI: 10.3389/fonc.2022.961393] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 09/29/2022] [Indexed: 09/05/2023] Open
Abstract
Objective This study aims to determine local treatment response and long-term survival outcomes in patients with localised muscle-invasive bladder cancer (MIBC) patients receiving neoadjuvant chemotherapy (NAC) using diffusion-weighted MRI (DWI) and apparent diffusion coefficient (ADC) analysis. Methods Patients with T2-T4aN0-3M0 bladder cancer suitable for NAC were recruited prospectively. DWI was performed prior to NAC and was repeated following NAC completion. Conventional response assessment was performed with cystoscopy and tumour site biopsy. Response was dichotomised into response ( Results Forty-eight patients (96 DWI) were evaluated. NAC response was associated with significant increase in mean ΔADC and %ΔADC compared to poor response (ΔADCall 0.32×10-3 versus 0.11×10-3 mm2/s; p=0.009, and %ΔADCall 21.70% versus 8.23%; p=0.013). Highest specificity predicting response was seen at 75th percentile ADC (AUC, 0.8; p=0.01). Sensitivity, specificity, positive predictive power, and negative predictive power of %ΔADCb100 75th percentile was 73.7%, 90.0%, 96.6%, and 52.9%, respectively. %ΔADCb100 75th percentile >15.5% was associated with significant improvement in OS (HR, 0.40; 95% CI, 0.19-0.86; p=0.0179), bCSS (HR, 0.26; 95% CI, 0.08-0.82; p=0.0214), PFS (HR, 0.16; 95% CI, 0.05-0.48; p=0.0012), and time to cystectomy (HR, 0.19; 95% CI, 0.07-0.47; p=0.0004). Conclusions Quantitative ADC analysis can successfully identify NAC response and improved long-term clinical outcomes. Multi-centre validation to assess reproducibility and repeatability is required before testing within clinical trials to inform MIBC treatment decision making. Advances in knowledge We successfully demonstrated that measured change in DWI can successfully identify NAC response and improved long-term survival outcomes.
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Affiliation(s)
- Shaista Hafeez
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Mu Koh
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Department of Diagnostic Radiology, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Kelly Jones
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Amir El Ghzal
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - James D’Arcy
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Pardeep Kumar
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Vincent Khoo
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Susan Lalondrelle
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Fiona McDonald
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Alan Thompson
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Erica Scurr
- Department of Diagnostic Radiology, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Aslam Sohaib
- Department of Diagnostic Radiology, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Robert Anthony Huddart
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Urology Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
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18
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Bhaludin BN, Tunariu N, Koh DM, Messiou C, Okines AF, McGrath SE, Ring AE, Parton MM, Sharma B, Gagliardi T, Allen SD, Pope R, Johnston SRD, Downey K. A review on the added value of whole-body MRI in metastatic lobular breast cancer. Eur Radiol 2022; 32:6514-6525. [PMID: 35384456 DOI: 10.1007/s00330-022-08714-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/02/2022] [Accepted: 03/04/2022] [Indexed: 12/01/2022]
Abstract
Invasive lobular breast carcinomas (ILC) account for approximately 15% of breast cancer diagnoses. They can be difficult to diagnose both clinically and radiologically, due to their infiltrative growth pattern. The pattern of metastasis of ILC is unusual, with spread to the serosal surfaces (pleura and peritoneum), retroperitoneum and gastrointestinal (GI)/genitourinary (GU) tracts and a higher rate of leptomeningeal spread than IDC. Routine staging and response assessment with computed tomography (CT) can be undertaken quickly and measurements can be reproduced easily, but this is challenging with metastatic ILC as bone-only/bone-predominant patterns are frequently seen and assessment of the disease status is limited in these scenarios. Functional imaging such as whole-body MRI (WBMRI) allows the assessment of bone and soft tissue disease by providing functional information related to differences in cellular density between malignant and benign tissues. A number of recent studies have shown that WBMRI can detect additional sites of disease in metastatic breast cancer (MBC), resulting in a change in systemic anti-cancer therapy. Although WBMRI and fluorodeoxyglucose-positron-emission tomography-computed tomography (FDG-PET/CT) have a comparable performance in the assessment of MBC, WBMRI can be particularly valuable as a proportion of ILC are non-FDG-avid, resulting in the underestimation of the disease extent. In this review, we explore the added value of WBMRI in the evaluation of metastatic ILC and compare it with other imaging modalities such as CT and FDG-PET/CT. We also discuss the spectrum of WBMRI findings of the different metastatic sites of ILC with CT and FDG-PET/CT correlation. KEY POINTS: • ILC has an unusual pattern of spread compared to IDC, with metastases to the peritoneum, retroperitoneum and GI and GU tracts, but the bones and liver are the commonest sites. • WBMRI allows functional assessment of metastatic disease, particularly in bone-only and bone-predominant metastatic cancers such as ILC where evaluation with CT can be challenging and limited. • WBMRI can detect more sites of disease compared with CT, can reveal disease progression earlier and provides the opportunity to change ineffective systemic treatment sooner.
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Affiliation(s)
- Basrull N Bhaludin
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK.
| | - Nina Tunariu
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Dow-Mu Koh
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Christina Messiou
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Alicia F Okines
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Sophie E McGrath
- Breast Unit, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK
| | - Alistair E Ring
- Breast Unit, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK
| | - Marina M Parton
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Bhupinder Sharma
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Tanja Gagliardi
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Steven D Allen
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Romney Pope
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Stephen R D Johnston
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Kate Downey
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
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19
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Gagliardi T, Adejolu M, deSouza NM. Diffusion-Weighted Magnetic Resonance Imaging in Ovarian Cancer: Exploiting Strengths and Understanding Limitations. J Clin Med 2022; 11:1524. [PMID: 35329850 PMCID: PMC8949455 DOI: 10.3390/jcm11061524] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 02/06/2023] Open
Abstract
Detection, characterization, staging, and response assessment are key steps in the imaging pathway of ovarian cancer. The most common type, high grade serous ovarian cancer, often presents late, so that accurate disease staging and response assessment are required through imaging in order to improve patient management. Currently, computerized tomography (CT) is the most common method for these tasks, but due to its poor soft-tissue contrast, it is unable to quantify early response within lesions before shrinkage is observed by size criteria. Therefore, quantifiable techniques, such as diffusion-weighted magnetic resonance imaging (DW-MRI), which generates high contrast between tumor and healthy tissue, are increasingly being explored. This article discusses the basis of diffusion-weighted contrast and the technical issues that must be addressed in order to achieve optimal implementation and robust quantifiable diffusion-weighted metrics in the abdomen and pelvis. The role of DW-MRI in characterizing adnexal masses in order to distinguish benign from malignant disease, and to differentiate borderline from frankly invasive malignancy is discussed, emphasizing the importance of morphological imaging over diffusion-weighted metrics in this regard. Its key role in disease staging and predicting resectability in comparison to CT is addressed, including its valuable use as a biomarker for following response within individual lesions, where early changes in the apparent diffusion coefficient in peritoneal metastases may be detected. Finally, the task of implementing DW-MRI into clinical trials in order to validate this biomarker for clinical use are discussed, along with the trials that include it within their protocols.
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Affiliation(s)
- Tanja Gagliardi
- Department of Imaging, The Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK; (T.G.); (M.A.)
| | - Margaret Adejolu
- Department of Imaging, The Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK; (T.G.); (M.A.)
| | - Nandita M. deSouza
- Department of Imaging, The Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK; (T.G.); (M.A.)
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London SW7 3RP, UK
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20
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Gaebe K, Li AY, Das S. Clinical Biomarkers for Early Identification of Patients with Intracranial Metastatic Disease. Cancers (Basel) 2021; 13:cancers13235973. [PMID: 34885083 PMCID: PMC8656478 DOI: 10.3390/cancers13235973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/25/2021] [Accepted: 11/25/2021] [Indexed: 12/18/2022] Open
Abstract
Simple Summary The development of brain metastases, or intracranial metastatic disease (IMD), is a serious and life-altering complication for many patients with cancer. While there have been substantial advancements in the treatments available for IMD and in our understanding of its pathogenesis, conventional methods remain insufficient to detect IMD at an early stage. In this review, we discuss current research on biomarkers specific to IMD. In particular, we highlight biomarkers that can be easily accessed via the bloodstream or cerebrospinal fluid, including circulating tumor cells and DNA, as well as advanced imaging techniques. The continued development of these assays could enable clinicians to detect IMD prior to the development of IMD-associated symptoms and ultimately improve patient prognosis and survival. Abstract Nearly 30% of patients with cancer will develop intracranial metastatic disease (IMD), and more than half of these patients will die within a few months following their diagnosis. In light of the profound effect of IMD on survival and quality of life, there is significant interest in identifying biomarkers that could facilitate the early detection of IMD or identify patients with cancer who are at high IMD risk. In this review, we will highlight early efforts to identify biomarkers of IMD and consider avenues for future investigation.
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Affiliation(s)
- Karolina Gaebe
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 3K1, Canada; (K.G.); (A.Y.L.)
| | - Alyssa Y. Li
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 3K1, Canada; (K.G.); (A.Y.L.)
| | - Sunit Das
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 3K1, Canada; (K.G.); (A.Y.L.)
- Division of Neurosurgery, St. Michael’s Hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8, Canada
- Correspondence:
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21
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Weingärtner S, Desmond KL, Obuchowski NA, Baessler B, Zhang Y, Biondetti E, Ma D, Golay X, Boss MA, Gunter JL, Keenan KE, Hernando D. Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group. Magn Reson Med 2021; 87:1184-1206. [PMID: 34825741 DOI: 10.1002/mrm.29084] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/20/2021] [Accepted: 10/27/2021] [Indexed: 12/26/2022]
Abstract
On behalf of the International Society for Magnetic Resonance in Medicine (ISMRM) Quantitative MR Study Group, this article provides an overview of considerations for the development, validation, qualification, and dissemination of quantitative MR (qMR) methods. This process is framed in terms of two central technical performance properties, i.e., bias and precision. Although qMR is confounded by undesired effects, methods with low bias and high precision can be iteratively developed and validated. For illustration, two distinct qMR methods are discussed throughout the manuscript: quantification of liver proton-density fat fraction, and cardiac T1 . These examples demonstrate the expansion of qMR methods from research centers toward widespread clinical dissemination. The overall goal of this article is to provide trainees, researchers, and clinicians with essential guidelines for the development and validation of qMR methods, as well as an understanding of necessary steps and potential pitfalls for the dissemination of quantitative MR in research and in the clinic.
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Affiliation(s)
- Sebastian Weingärtner
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Kimberly L Desmond
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Nancy A Obuchowski
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bettina Baessler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Yuxin Zhang
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Emma Biondetti
- Department of Neuroscience, Imaging and Clinical Sciences, D'Annunzio University of Chieti and Pescara, Chieti, Italy
| | - Dan Ma
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xavier Golay
- Brain Repair & Rehabilitation, Institute of Neurology, University College London, United Kingdom.,Gold Standard Phantoms Limited, Rochester, United Kingdom
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, Pennsylvania, USA
| | | | - Kathryn E Keenan
- National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Diego Hernando
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
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22
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Drewes R, Pech M, Powerski M, Omari J, Heinze C, Damm R, Wienke A, Surov A. Apparent Diffusion Coefficient Can Predict Response to Chemotherapy of Liver Metastases in Colorectal Cancer. Acad Radiol 2021; 28 Suppl 1:S73-S80. [PMID: 33008734 DOI: 10.1016/j.acra.2020.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/07/2020] [Accepted: 09/12/2020] [Indexed: 02/06/2023]
Abstract
RATIONALE AND OBJECTIVES The aim of this meta-analysis was to evaluate the suitability of apparent diffusion coefficient (ADC) as a predictor of response to systemic chemotherapy in patients with metastatic colorectal carcinoma (CRC). MATERIALS AND METHODS MEDLINE library, SCOPUS database, and EMBASE database were screened for relationships between pretreatment ADC values of hepatic CRC metastases and response to systemic chemotherapy. Overall, five eligible studies were identified. The following data were extracted: authors, year of publication, study design, number of patients, mean value ADC and standard-deviation, measure method, b-values, and Tesla-strength. The methodological quality of every study was checked according to the Quality Assessment of Diagnostic Studies-2 instrument. The meta-analysis was undertaken by employing RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance weights were used to account for heterogeneity. Mean ADC values including 95% confidence intervals were calculated. RESULTS Five studies (n = 114 patients) were included. The pretreatment mean ADC in the responder group was 1.15 × 10-3 mm2/s (1.03, 1.28) and 1.37 × 10-3 mm2/s (1.3, 1.44) in the nonresponder group. An ADC baseline threshold of 1.2 × 10-3 mm2/s, below which no nonresponder was found, can distinguish both groups. CONCLUSION The results indicate ADC can serve as a predictor of response to chemotherapy for CRC patients.
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23
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Hernando D, Zhang Y, Pirasteh A. Quantitative diffusion MRI of the abdomen and pelvis. Med Phys 2021; 49:2774-2793. [PMID: 34554579 DOI: 10.1002/mp.15246] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/05/2021] [Accepted: 09/15/2021] [Indexed: 12/14/2022] Open
Abstract
Diffusion MRI has enormous potential and utility in the evaluation of various abdominal and pelvic disease processes including cancer and noncancer imaging of the liver, prostate, and other organs. Quantitative diffusion MRI is based on acquisitions with multiple diffusion encodings followed by quantitative mapping of diffusion parameters that are sensitive to tissue microstructure. Compared to qualitative diffusion-weighted MRI, quantitative diffusion MRI can improve standardization of tissue characterization as needed for disease detection, staging, and treatment monitoring. However, similar to many other quantitative MRI methods, diffusion MRI faces multiple challenges including acquisition artifacts, signal modeling limitations, and biological variability. In abdominal and pelvic diffusion MRI, technical acquisition challenges include physiologic motion (respiratory, peristaltic, and pulsatile), image distortions, and low signal-to-noise ratio. If unaddressed, these challenges lead to poor technical performance (bias and precision) and clinical outcomes of quantitative diffusion MRI. Emerging and novel technical developments seek to address these challenges and may enable reliable quantitative diffusion MRI of the abdomen and pelvis. Through systematic validation in phantoms, volunteers, and patients, including multicenter studies to assess reproducibility, these emerging techniques may finally demonstrate the potential of quantitative diffusion MRI for abdominal and pelvic imaging applications.
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Affiliation(s)
- Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Yuxin Zhang
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ali Pirasteh
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
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24
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Predict Treatment Response by Magnetic Resonance Diffusion Weighted Imaging: A Preliminary Study on 46 Meningiomas Treated with Proton-Therapy. Diagnostics (Basel) 2021; 11:diagnostics11091684. [PMID: 34574025 PMCID: PMC8469991 DOI: 10.3390/diagnostics11091684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/10/2021] [Accepted: 09/10/2021] [Indexed: 11/16/2022] Open
Abstract
Objective: a considerable subgroup of meningiomas (MN) exhibit indolent and insidious growth. Strategies to detect earlier treatment responses based on tumour biology rather than on size can be useful. We aimed to characterize therapy-induced changes in the apparent diffusion coefficient (ADC) of MN treated with proton-therapy (PT), determining whether the pre- and early post-treatment ADC values may predict tumour response. Methods: Forty-four subjects with MN treated with PT were retrospectively enrolled. All patients underwent conventional magnetic resonance imaging (MRI) including diffusion-weighted imaging (DWI) at baseline and each 3 months for a follow-up period up to 36 months after the beginning of PT. Mean relative ADC (rADCm) values of 46 MN were measured at each exam. The volume variation percentage (VV) for each MN was calculated. The Wilcoxon test was used to assess the differences in rADCm values between pre-treatment and post-treatment exams. Patients were grouped in terms of VV (threshold −20%). A p < 0.05 was considered statistically significant for all the tests. Results: A significant progressive increase of rADCm values was detected at each time point when compared to baseline rADCm (p < 0.05). Subjects that showed higher pre-treatment rADCm values had no significant volume changes or showed volume increase, while subjects that showed a VV < −20% had significantly lower pre-treatment rADCm values. Higher and earlier rADCm increases (3 months) are related to greater volume reduction. Conclusion: In MN treated with PT, pre-treatment rADCm values and longitudinal rADCm changes may predict treatment response.
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25
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Uutela A, Ovissi A, Hakkarainen A, Ristimäki A, Lundbom N, Kallio R, Soveri LM, Salminen T, Ålgars A, Halonen P, Ristamäki R, Nordin A, Blanco Sequeiros R, Rinta-Kiikka I, Lantto E, Virtanen J, Pääkkö E, Liukkonen E, Saunavaara J, Ryymin P, Lammentausta E, Osterlund P, Isoniemi H. Treatment response of colorectal cancer liver metastases to neoadjuvant or conversion therapy: a prospective multicentre follow-up study using MRI, diffusion-weighted imaging and 1H-MR spectroscopy compared with histology (subgroup in the RAXO trial). ESMO Open 2021; 6:100208. [PMID: 34325107 PMCID: PMC8332656 DOI: 10.1016/j.esmoop.2021.100208] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/02/2021] [Accepted: 06/17/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Colorectal cancer liver metastases respond to chemotherapy and targeted agents not only by shrinking, but also by morphologic and metabolic changes. The aim of this study was to evaluate the value of advanced magnetic resonance imaging (MRI) methods in predicting treatment response and survival. PATIENTS AND METHODS We investigated contrast-enhanced MRI, apparent diffusion coefficient (ADC) in diffusion-weighted imaging and 1H-magnetic resonance spectroscopy (1H-MRS) in detecting early morphologic and metabolic changes in borderline or resectable liver metastases, as a response to first-line neoadjuvant or conversion therapy in a prospective substudy of the RAXO trial (NCT01531621, EudraCT2011-003158-24). MRI findings were compared with histology of resected liver metastases and Kaplan-Meier estimates of overall survival (OS). RESULTS In 2012-2018, 52 patients at four Finnish university hospitals were recruited. Forty-seven patients received neoadjuvant or conversion chemotherapy and 40 liver resections were carried out. Low ADC values (below median) of the representative liver metastases, at baseline and after systemic therapy, were associated with partial response according to RECIST criteria, but not with morphologic MRI changes or histology. Decreasing ADC values following systemic therapy were associated with improved OS compared to unchanged or increasing ADC, both in the liver resected subgroup (5-year OS rate 100% and 34%, respectively, P = 0.022) and systemic therapy subgroup (5-year OS rate 62% and 23%, P = 0.049). 1H-MRS revealed steatohepatosis induced by systemic therapy. CONCLUSIONS Low ADC values at baseline or during systemic therapy were associated with treatment response by RECIST but not with histology, morphologic or detectable metabolic changes. A decreasing ADC during systemic therapy is associated with improved OS both in all patients receiving systemic therapy and in the resected subgroup.
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Affiliation(s)
- A Uutela
- Department of Transplantation and Liver Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - A Ovissi
- Department of Radiology, HUS Medical Imaging Centre, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - A Hakkarainen
- Department of Radiology, HUS Medical Imaging Centre, Helsinki University Hospital and University of Helsinki, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Helsinki, Finland
| | - A Ristimäki
- Department of Pathology, HUS Diagnostic Centre and Applied Tumour Genomics, Research Programs Unit, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - N Lundbom
- Department of Radiology, HUS Medical Imaging Centre, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - R Kallio
- Department of Oncology, Oulu University Hospital, Oulu, Finland
| | - L M Soveri
- Joint Municipal Authority for Health Care and Social Services in Keski-Uusimaa, Home Care Geriatric Clinic and Palliative Care, Hyvinkää, Finland
| | - T Salminen
- Department of Oncology, Tampere University Hospital and University of Tampere, Tampere, Finland
| | - A Ålgars
- Department of Oncology, Turku University Hospital and University of Turku, Turku, Finland
| | - P Halonen
- Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center and University of Helsinki, Helsinki, Finland
| | - R Ristamäki
- Department of Oncology, Turku University Hospital and University of Turku, Turku, Finland
| | - A Nordin
- Department of Transplantation and Liver Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - R Blanco Sequeiros
- Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland; Department of Radiology, Oulu University Hospital, Oulu, Finland
| | - I Rinta-Kiikka
- Department of Radiology, Medical Imaging Centre Tampere University Hospital and University of Tampere, Tampere, Finland; Department of Medical Physics, Medical Imaging Centre Tampere University Hospital and University of Tampere, Tampere, Finland
| | - E Lantto
- Department of Radiology, Päijät-Häme Central Hospital, Lahti, Finland
| | - J Virtanen
- Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland
| | - E Pääkkö
- Department of Radiology, Oulu University Hospital, Oulu, Finland
| | - E Liukkonen
- Department of Radiology, Oulu University Hospital, Oulu, Finland
| | - J Saunavaara
- Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland
| | - P Ryymin
- Department of Radiology, Medical Imaging Centre Tampere University Hospital and University of Tampere, Tampere, Finland; Department of Medical Physics, Medical Imaging Centre Tampere University Hospital and University of Tampere, Tampere, Finland
| | - E Lammentausta
- Department of Radiology, Oulu University Hospital, Oulu, Finland
| | - P Osterlund
- Department of Oncology, Tampere University Hospital and University of Tampere, Tampere, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center and University of Helsinki, Helsinki, Finland; Department of Pathology/Oncology, Karolinska Institutet and Karolinska sjukhuset - Tema Cancer, Stockholm, Sweden.
| | - H Isoniemi
- Department of Transplantation and Liver Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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Liu H, Lu C, Han L, Zhang X, Song G. Optical – Magnetic probe for evaluating cancer therapy. Coord Chem Rev 2021. [DOI: 10.1016/j.ccr.2021.213978] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Ko CC, Yeh LR, Kuo YT, Chen JH. Imaging biomarkers for evaluating tumor response: RECIST and beyond. Biomark Res 2021; 9:52. [PMID: 34215324 PMCID: PMC8252278 DOI: 10.1186/s40364-021-00306-8] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 06/10/2021] [Indexed: 12/12/2022] Open
Abstract
Response Evaluation Criteria in Solid Tumors (RECIST) is the gold standard for assessment of treatment response in solid tumors. Morphologic change of tumor size evaluated by RECIST is often correlated with survival length and has been considered as a surrogate endpoint of therapeutic efficacy. However, the detection of morphologic change alone may not be sufficient for assessing response to new anti-cancer medication in all solid tumors. During the past fifteen years, several molecular-targeted therapies and immunotherapies have emerged in cancer treatment which work by disrupting signaling pathways and inhibited cell growth. Tumor necrosis or lack of tumor progression is associated with a good therapeutic response even in the absence of tumor shrinkage. Therefore, the use of unmodified RECIST criteria to estimate morphological changes of tumor alone may not be sufficient to estimate tumor response for these new anti-cancer drugs. Several studies have reported the low reliability of RECIST in evaluating treatment response in different tumors such as hepatocellular carcinoma, lung cancer, prostate cancer, brain glioma, bone metastasis, and lymphoma. There is an increased need for new medical imaging biomarkers, considering the changes in tumor viability, metabolic activity, and attenuation, which are related to early tumor response. Promising imaging techniques, beyond RECIST, include dynamic contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI), diffusion-weight imaging (DWI), magnetic resonance spectroscopy (MRS), and 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET). This review outlines the current RECIST with their limitations and the new emerging concepts of imaging biomarkers in oncology.
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Affiliation(s)
- Ching-Chung Ko
- Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan.,Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Lee-Ren Yeh
- Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Yu-Ting Kuo
- Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan.,Department of Medical Imaging, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Jeon-Hor Chen
- Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan. .,Tu & Yuan Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, 164 Irvine Hall, Irvine, CA, 92697 - 5020, USA.
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Boraschi P, Donati F, Cervelli R, Pacciardi F, Tarantini G, Castagna M, Urbani L, Lencioni R. Colorectal liver metastases: ADC as an imaging biomarker of tumor behavior and therapeutic response. Eur J Radiol 2021; 137:109609. [PMID: 33647779 DOI: 10.1016/j.ejrad.2021.109609] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/16/2021] [Accepted: 02/21/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE To correlate the ADC values of colorectal liver metastases, evaluated before (preADC) and after (postADC) neoadjuvant chemotherapy (ChT), as well as their difference (ΔADC), with the histological tumor regression grade (TRG) and to determine whether the preADC value can be predictive of the lesion ChT response. METHOD Twenty-four patients with colorectal liver metastases, who had undergone 3 T-MRI before and after ChT and were subsequently treated by parenchymal-spearing surgery, were retrospectively included. Diffusion-weighted MRI (DW-MRI) was performed using a spin-echo echo-planar sequence with multiple b values, obtaining an ADC map. Fitted ADC values were calculated for each lesion before and after ChT. The maximum diameter of each lesion in both examinations was recorded. Diameter variations and RECIST1.1 criteria were assessed. All MRI findings were histopathologically correlated to TRG of resected liver metastases. Statistical analysis was performed on a per-lesion basis. RESULTS A total of 58 colorectal liver metastases were analysed; after ChT, 8 out of 58 lesions disappeared. TRG1, TRG2, TRG3, TRG4 and TRG5 were observed in 6, 12, 12, 13 and 7 lesions, respectively. The preADC values showed a different distribution according to the TRG scores (p = 0.0027), even though the distribution was not linear. The postADC and ΔADC values were significant different based on the TRG system (both p < 0.0001). A significant correlation between the lesion TRG and the evaluation according to RECIST1.1 criteria was observed by a per-lesion analysis (p = 0.0009). CONCLUSIONS PostADC and ΔADC could be proposed as reliable biomarkers to assess tumor treatment response after preoperative ChT in patients with colorectal liver metastases.
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Affiliation(s)
- Piero Boraschi
- Department of Diagnostic Imaging, Pisa University Hospital, Via Paradisa 2, Pisa, 56124, Italy.
| | - Francescamaria Donati
- Department of Diagnostic Imaging, Pisa University Hospital, Via Paradisa 2, Pisa, 56124, Italy
| | - Rosa Cervelli
- Diagnostic and Interventional Radiology, University of Pisa, Via Paradisa 2, Pisa, 56124, Italy
| | - Federica Pacciardi
- Department of Diagnostic Imaging, Pisa University Hospital, Via Paradisa 2, Pisa, 56124, Italy
| | - Gaia Tarantini
- Diagnostic and Interventional Radiology, University of Pisa, Via Paradisa 2, Pisa, 56124, Italy
| | - Maura Castagna
- Unit of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Roma 67, Pisa, 56126, Italy
| | - Lucio Urbani
- Department of General Surgery, Pisa University Hospital, Via Paradisa 2, Pisa, 56124, Italy
| | - Riccardo Lencioni
- Diagnostic and Interventional Radiology, University of Pisa, Via Paradisa 2, Pisa, 56124, Italy
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Kalisvaart GM, Bloem JL, Bovée JVMG, van de Sande MAJ, Gelderblom H, van der Hage JA, Hartgrink HH, Krol ADG, de Geus-Oei LF, Grootjans W. Personalising sarcoma care using quantitative multimodality imaging for response assessment. Clin Radiol 2021; 76:313.e1-313.e13. [PMID: 33483087 DOI: 10.1016/j.crad.2020.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 12/17/2020] [Indexed: 01/18/2023]
Abstract
Over the last decades, technological developments in the field of radiology have resulted in a widespread use of imaging for personalising medicine in oncology, including patients with a sarcoma. New scanner hardware, imaging protocols, image reconstruction algorithms, radiotracers, and contrast media, enabled the assessment of the physical and biological properties of tumours associated with response to treatment. In this context, medical imaging has the potential to select sarcoma patients who do not benefit from (neo-)adjuvant treatment and facilitate treatment adaptation. Due to the biological heterogeneity in sarcomas, the challenge at hand is to acquire a practicable set of imaging features for specific sarcoma subtypes, allowing response assessment. This review provides a comprehensive overview of available clinical data on imaging-based response monitoring in sarcoma patients and future research directions. Eventually, it is expected that imaging-based response monitoring will help to achieve successful modification of (neo)adjuvant treatments and improve clinical care for these patients.
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Affiliation(s)
- G M Kalisvaart
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
| | - J L Bloem
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - J V M G Bovée
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - M A J van de Sande
- Department of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands
| | - H Gelderblom
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - J A van der Hage
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - H H Hartgrink
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - A D G Krol
- Department of Radiation Oncology. Leiden University Medical Center, Leiden, the Netherlands
| | - L F de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands
| | - W Grootjans
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Shear-wave velocity for colorectal cancer liver metastases as a potential prognostic factor after chemotherapy: a preliminary study. Clin Radiol 2021; 76:224-232. [PMID: 33402260 DOI: 10.1016/j.crad.2020.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 09/30/2020] [Indexed: 11/21/2022]
Abstract
AIM To evaluate whether shear-wave velocity (SWV) can be used for predicting the prognoses of patients with colorectal cancer liver metastases (CRLMs) after chemotherapy. MATERIALS AND METHODS Our institutional review board approved this prospective study, and written informed consent was obtained. SWV of CRLMs were obtained using point shear-wave elastography using acoustic radiation force impulse from 25 patients prior to and 2, 7, and 14 days after chemotherapy. Progression-free survival (PFS) after chemotherapy was estimated using the Kaplan-Meier method. The Cox proportional hazard regression model was used to determine significant predictive factors for PFS. For measurement reproducibility, an additional 37 patients with CRLMs were enrolled and assessed using intraclass correlation coefficients (ICCs). RESULTS After chemotherapy, 10 and 15 patients were classified into responder and non-responder groups, respectively. The estimated 1- and 3-year PFS values in the whole cohort were 36% and 8%, respectively. A decrease in the SWV value on day 2 relative to the initial value was a significant predictive factor for better PFS outcome (hazard ratio = 0.20, 95% confidence interval = 0.07-0.57, p=0.003). The estimated 1 and 3-year PFS rates were 66.7% and 22.2%, respectively, in nine patients with decreased SWV values on day 2 and significantly higher than 18.8% and 0% of 16 patients with increased SWV values on day 2. The ICC value of SWV of CRLMs in the additional 37 patients was 0.823 (95% CI = 0.685-0.905), indicating good agreement. CONCLUSION SWV values of CRLMs could provide prognostic information in patients with CRLMs treated with chemotherapy, as decreased SWV values on day 2 after chemotherapy was a significant predictive factor for better PFS.
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Cancer Detection and Quantification of Treatment Response Using Diffusion-Weighted MRI. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00068-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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The spectrum of multimodality imaging findings in hepatic alveolar echinococcosis and the potential role of diffusion-weighted imaging in its characterisation. Pol J Radiol 2020; 85:e613-e623. [PMID: 33376563 PMCID: PMC7757515 DOI: 10.5114/pjr.2020.101015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 05/25/2020] [Indexed: 12/28/2022] Open
Abstract
Purpose To study the spectrum of imaging findings in hepatic alveolar echinococcosis (HAE) and to evaluate the potential role of diffusion-weighted imaging (DWI) in its characterisation. Material and methods Two radiologists with more than seven years of experience retrospectively studied ultrasonography, computed tomography (CT), and magnetic resonance imaging (MRI) findings in 23 histopathologically proven cases of HAE with emphasis on the appearance and extent of disease. DWI characteristics of lesions were noted, and their apparent diffusion values (ADC) were calculated. Results Ultrasonography features of HAE included heterogeneous, hyperechoic hepatic mass with or without calcification (n = 20), or heterogeneous mass with solid-cystic appearance (n = 2). CT revealed heterogeneous density infiltrative hepatic mass with no contrast enhancement in 19 patients or thick-walled cystic mass (n = 4). Following Kodama classification one type 1, six type 2, two type 3, eight type 4, and two type 5 lesions were identified on T2-weighted MRI. No enhancement was seen on post-contrast T1-weighted images. Mean ADC values were 1.74 ± 0.48 × 10-3 mm2/s (range: 1.39 × 10-3 mm2/s to 2.3 × 10-3 mm2/s). Conclusions HAE by virtue of its infiltrative growth pattern with a tendency to involve biliary, vascular, and extra hepatic structures can be easily misdiagnosed as malignant hepatic neoplasm. Knowledge of varied imaging appearances of HAE is essential to suspect the condition and to make an appropriate diagnosis. Diffusion-weighted imaging is a useful adjunct with relatively high diffusivity (high ADC values) suggesting diagnosis of alveolar hydatid.
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Steger GL, Salesov E, Richter H, Reusch CE, Kircher PR, Del Chicca F. Evaluation of the changes in hepatic apparent diffusion coefficient and hepatic fat fraction in healthy cats during body weight gain. Am J Vet Res 2020; 81:796-803. [PMID: 32969732 DOI: 10.2460/ajvr.81.10.796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To determine the change in mean hepatic apparent diffusion coefficient (ADC) and hepatic fat fraction (HFF) during body weight gain in cats by use of MRI. ANIMALS 12 purpose-bred adult neutered male cats. PROCEDURES The cats underwent general health and MRI examination at time 0 (before dietary intervention) and time 1 (after 40 weeks of being fed high-energy food ad libitum). Sequences included multiple-echo gradient-recalled echo MRI and diffusion-weighted MRI with 3 b values (0, 400, and 800 s/mm2). Variables (body weight and the HFF and ADC in selected regions of interest in the liver parenchyma) were compared between time points by Wilcoxon paired-sample tests. Relationships among variables were assessed with generalized mixed-effects models. RESULTS Median body weight was 4.5 and 6.5 kg, mean ± SD HFF was 3.39 ± 0.89% and 5.37 ± 1.92%, and mean ± SD hepatic ADC was 1.21 ± 0.08 × 10-3 mm2/s and 1.01 ± 0.2 × 10-3 mm2/s at times 0 and 1, respectively. Significant differences between time points were found for body weight, HFF, and ADC. The HFF was positively associated with body weight and ADC was negatively associated with HFF. CONCLUSIONS AND CLINICAL RELEVANCE Similar to findings in people, cats had decreasing hepatic ADC as HFF increased. Protons associated with fat tissue in the liver may reduce diffusivity, resulting in a lower ADC than in liver with lower HFF. Longer studies and evaluation of cats with different nutritional states are necessary to further investigate these findings.
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Cruz M, Ferreira AA, Papanikolaou N, Banerjee R, Alves FC. New boundaries of liver imaging: from morphology to function. Eur J Intern Med 2020; 79:12-22. [PMID: 32571581 DOI: 10.1016/j.ejim.2020.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/20/2020] [Accepted: 06/04/2020] [Indexed: 12/12/2022]
Abstract
From an invisible organ to one of the most explored non-invasively, the liver is, today, one of the cornerstones for current cross-sectional imaging techniques and minimally invasive procedures. After the achievements of US, CT and, most recently, MRI in providing highly accurate morphological and structural information about the organ, a significant scientific development has gained momentum for the last decades, coupling morphology to liver function and contributing far most to what we know today as precision medicine. In fact, dedicated tailor-made investigations are now possible in order to detect and, most of all, quantify physiopathological processes with unprecedented certitude. It is the intention of this review to provide a better insight to the reader of several functional imaging techniques applied to liver imaging. Contrast enhanced imaging, diffusion weighted imaging, elastography, spectral computed tomography and fat and iron assessment techniques are commonly performed clinically. Diffusion kurtosis imaging, magnetic resonance spectroscopy, T1 relaxometry and radiomics remain largely limited to advanced clinical research. Each of them has its own value and place on the diagnostic armamentarium and provide unique qualitative and quantitative information regarding the pathophysiology of diseases, contributing at a large scale to model therapeutic decisions and patient follow-up. Therefore, state-of-the-art liver imaging acts today as a non-invasive surrogate biomarker of many focal and diffuse liver diseases.
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Affiliation(s)
- Manuel Cruz
- Department of Radiology, Faculty of Medicine, University Hospital Coimbra and CIBIT/ICNAS research center, University of Coimbra, Coimbra, Portugal.
| | - Ana Aguiar Ferreira
- Department of Radiology, Faculty of Medicine, University Hospital Coimbra and CIBIT/ICNAS research center, University of Coimbra, Coimbra, Portugal
| | - Nikolaos Papanikolaou
- Computational Clinical Imaging Group, Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal
| | - Rajarshi Banerjee
- Department of Acute Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Filipe Caseiro Alves
- Department of Radiology, Faculty of Medicine, University Hospital Coimbra and CIBIT/ICNAS research center, University of Coimbra, Coimbra, Portugal
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Maffazzioli L, Zilio MB, Klamt AL, Duarte JA, Mazzini GS, Campos VJ, Chedid MF, Gurski RR. ADC as a predictor of pathologic response to neoadjuvant therapy in esophageal cancer: a systematic review and meta-analysis. Eur Radiol 2020; 30:3934-3942. [PMID: 32157409 DOI: 10.1007/s00330-020-06723-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 01/31/2020] [Accepted: 02/05/2020] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Diffusion-weighted magnetic resonance imaging (DWI) is part of clinical practice. The aim of this study was to evaluate the role of apparent diffusion coefficient (ADC) as a predictor of pathologic response to neoadjuvant therapy (nCRT) in patients with esophageal cancer (EC). METHODS The MEDLINE, Embase, and Google Scholar databases were systematically searched for studies using ADC to evaluate response to neoadjuvant therapy in patients with EC. Methodological quality of the studies was evaluated with the QUADAS tool. Data from eligible studies were extracted and evaluated by two independent reviewers. Meta-analyses were performed comparing mean ADC values between responders and non-responders to nCRT in three different scenarios: baseline (BL) absolute values; percent change between intermediate (IM) values and BL; and percent change between final follow-up (FU) value and baseline BL. RESULTS Seven studies (n = 158 patients) were included. Responders exhibited a statistically significant percent increase in ADC during nCRT (mean difference [MD] 21.06%, 95%CI = 13.04-29.09; I2 = 49%; p = 0.12). A similar increase was identified in the complete pathologic response (pCR) versus non-complete pathologic response (npCR) subgroup (MD = 25.68%, 95%CI = 18.87-32.48; I2 = 0%; p = 0.60). At the end of treatment, responders also exhibited a statistically significant percent increase in ADC (MD = 22.49%, 95%CI = 9.94-35.05; I2 = 0%; p = 0.46). BL ADC was not associated with any definition of pathologic response (MD = 0.11%, 95%CI = - 0.21-0.42; I2 = 85%; p < 0.01). CONCLUSION These results suggest that ADC can be used as a predictor of pathologic response, with a statistically significant association between percent ADC increase during and after treatment and pCR. ADC may serve as a tool to help in guiding clinical decisions. KEY POINTS • DWI is routinely included in MRI oncological protocols. • ADC can be used as a predictor of pathologic response, with a statistically significant association between percent ADC increase during and after treatment and pCR.
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Affiliation(s)
- Leticia Maffazzioli
- Division of Radiology, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos 2350, 2nd Floor, Porto Alegre, 90035-903, Brazil.
- Post-Graduation Program in Medicine: Surgical Sciences, Medical School of UFRGS, Porto Alegre, Brazil.
| | - Mariana B Zilio
- Post-Graduation Program in Medicine: Surgical Sciences, Medical School of UFRGS, Porto Alegre, Brazil
- Division of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre (HCPA), Medical School of UFRGS, Porto Alegre, Brazil
| | - Alexandre L Klamt
- Post-Graduation Program in Medicine: Surgical Sciences, Medical School of UFRGS, Porto Alegre, Brazil
- Division of Gastroenterology, Hospital de Clínicas de Porto Alegre (HCPA), Medical School of UFRGS, Porto Alegre, Brazil
| | - Juliana A Duarte
- Division of Radiology, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos 2350, 2nd Floor, Porto Alegre, 90035-903, Brazil
| | - Guilherme S Mazzini
- Division of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre (HCPA), Medical School of UFRGS, Porto Alegre, Brazil
| | - Vinicius J Campos
- Post-Graduation Program in Medicine: Surgical Sciences, Medical School of UFRGS, Porto Alegre, Brazil
| | - Marcio F Chedid
- Post-Graduation Program in Medicine: Surgical Sciences, Medical School of UFRGS, Porto Alegre, Brazil
- Division of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre (HCPA), Medical School of UFRGS, Porto Alegre, Brazil
| | - Richard R Gurski
- Post-Graduation Program in Medicine: Surgical Sciences, Medical School of UFRGS, Porto Alegre, Brazil
- Division of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre (HCPA), Medical School of UFRGS, Porto Alegre, Brazil
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Zhang H, Li W, Fu C, Grimm R, Chen Z, Zhang W, Qiu L, Wang C, Zhang X, Yue L, Hu X, Guo W, Tong T. Comparison of intravoxel incoherent motion imaging, diffusion kurtosis imaging, and conventional DWI in predicting the chemotherapeutic response of colorectal liver metastases. Eur J Radiol 2020; 130:109149. [PMID: 32659615 DOI: 10.1016/j.ejrad.2020.109149] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 05/04/2020] [Accepted: 06/19/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE To assess the usefulness and performance of intravoxel incoherent motion imaging (IVIM) with diffusion kurtosis imaging (DKI) and conventional DWI for predicting the chemotherapeutic response of colorectal liver metastases (CRLMs). METHOD A prospective study was conducted. Up to February 2018, forty consecutive patients treated with the standard first-line chemotherapy regimens were enrolled. MRI was performed within 1 week before chemotherapy, as well as 2-3 weeks and 6-8 weeks after chemotherapy. The apparent diffusion coefficient map, IVIM and DKI parameter maps were calculated using a prototype postprocessing software. The response was assessed by the Response Evaluation Criteria in Solid Tumors. The parameters were compared between the responding group (complete and partial response) and the nonresponding group (stable and progressive disease). RESULTS A total of 15 responding and 25 nonresponding patients were evaluated. Low baseline ADC, Dslow, and D values (P = 0.001, <0.001, and =0.003, respectively) and a high baseline K value (P = 0.002) were independently associated with a good response to chemotherapy. The combination of all the significant parameters yielded an AUC of 0.867. After treatment, the ADC, Dslow, and D values all showed an upward trend, while the K value showed a decreasing trend, but there were no significant differences (P > 0.05). CONCLUSION The study showed that the pretreatment IVIM (Dslow), DKI (D and K), and conventional DWI (ADC) parameters all demonstrated a good diagnostic performance in predicting the chemotherapeutic response of CRLMs.
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Affiliation(s)
- Huan Zhang
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wenhua Li
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Caixia Fu
- MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany
| | - Zhiyu Chen
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wen Zhang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lixin Qiu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chenchen Wang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaowei Zhang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Yue
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaoxin Hu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weijian Guo
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Brenet E, Barbe C, Hoeffel C, Dubernard X, Merol JC, Fath L, Servagi-Vernat S, Labrousse M. Predictive Value of Early Post-Treatment Diffusion-Weighted MRI for Recurrence or Tumor Progression of Head and Neck Squamous Cell Carcinoma Treated with Chemo-Radiotherapy. Cancers (Basel) 2020; 12:cancers12051234. [PMID: 32422975 PMCID: PMC7281260 DOI: 10.3390/cancers12051234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/04/2020] [Accepted: 05/10/2020] [Indexed: 12/14/2022] Open
Abstract
Aims: To investigate the predictive capacity of early post-treatment diffusion-weighted magnetic resonance imaging (MRI) for recurrence or tumor progression in patients with no tumor residue after chemo-radiotherapy (CRT) for head and neck squamous cell carcinoma, and, to assess the predictive capacity of pre-treatment diffusion-weighted MRI for persistent tumor residue post-CRT. Materials and Method: A single center cohort study was performed in one French hospital. All patients with squamous cell carcinoma receiving CRT (no surgical indication) were included. Two diffusion-weighted MRI were performed: one within 8 days before CRT and one 3 months after completing CRT with determination of median tumor apparent diffusion coefficient (ADC). Main outcome: The primary endpoint was progression-free survival. Results: 59 patients were included prior to CRT and 46 (78.0%) completed CRT. A post-CRT tumor residue was found in 19/46 (41.3%) patients. In univariate analysis, initial ADC was significantly lower in patients with residue post CRT (0.56 ± 0.11 versus 0.79 ± 0.13; p < 0.001). When initial ADC was dichotomized at the median, initial ADC lower than 0.7 was significantly more frequent in patients with residue post CRT (73.7% versus 11.1%, p < 0.0001). In multivariate analysis, only initial ADC lower than 0.7 was significantly associated with tumor residue (OR = 22.6; IC [4.9–103.6], p < 0.0001). Among 26 patients without tumor residue after CRT and followed up until 12 months, 6 (23.1%) presented recurrence or progression. Only univariate analysis was performed due to a small number of events. The only factor significantly associated with disease progression or early recurrence was the delta ADC (p = 0.0009). When ADC variation was dichotomized at the median, patients with ADC variation greater than 0.7 had time of disease-free survival significantly longer than patients with ADC variation lower than 0.7 (377.5 [286–402] days versus 253 [198–370], p < 0.0001). Conclusion and relevance: Diffusion-weighted MRI could be a technique that enables differentiation of patients with high potential for early recurrence for whom intensive post-CRT monitoring is mandatory. Prospective studies with more inclusions would be necessary to validate our results.
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Affiliation(s)
- Esteban Brenet
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Robert Debré University Hospital, 51100 Reims, France; (X.D.); (J.-C.M.); (M.L.)
- Correspondence:
| | - Coralie Barbe
- Clinical Research Unit, Robert Debré University Hospital, 51100 Reims, France;
| | - Christine Hoeffel
- Department of Radiology, Robert Debré University Hospital, 51100 Reims, France;
| | - Xavier Dubernard
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Robert Debré University Hospital, 51100 Reims, France; (X.D.); (J.-C.M.); (M.L.)
| | - Jean-Claude Merol
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Robert Debré University Hospital, 51100 Reims, France; (X.D.); (J.-C.M.); (M.L.)
| | - Léa Fath
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Hospital of Strasbourg, 67000 Strasbourg, France;
| | | | - Marc Labrousse
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Robert Debré University Hospital, 51100 Reims, France; (X.D.); (J.-C.M.); (M.L.)
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Hazhirkarzar B, Khoshpouri P, Shaghaghi M, Ghasabeh MA, Pawlik TM, Kamel IR. Current state of the art imaging approaches for colorectal liver metastasis. Hepatobiliary Surg Nutr 2020; 9:35-48. [PMID: 32140477 DOI: 10.21037/hbsn.2019.05.11] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
One of the most common cancers worldwide, colorectal cancer (CRC) has been associated with significant morbidity and mortality and therefore represents an enormous burden to the health care system. Recent advances in CRC treatments have provided patients with primary and metastatic CRC a better long-term prognosis. The presence of synchronous or metachronous metastasis has been associated, however, with worse survival. The most common site of metastatic disease is the liver. A variety of treatment modalities aimed at targeting colorectal liver metastases (CRLM) has been demonstrated to improve the prognosis of these patients. Loco-regional approaches such as surgical resection and tumor ablation (operative and percutaneous) can provide patients with a chance at long-term disease control and even cure in select populations. Patient selection is important in defining the most suitable treatment option for CRLM in order to provide the best possible survival benefit while avoiding unnecessary interventions and adverse events. Medical imaging plays a crucial role in evaluating the characteristics of CRLMs and disease resectability. Size of tumors, proximity to adjacent anatomical structures, and volume of the unaffected liver are among the most important imaging parameters to determine the suitability of patients for surgical management or other appropriate treatment approaches. We herein provide a comprehensive overview of current-state-of-the-art imaging in the management of CRLM, including staging, treatment planning, response and survival assessment, and post-treatment surveillance. Computed tomography (CT) scan and magnetic resonance imaging (MRI) are two most commonly used techniques, which can be used solely or in combination with functional imaging modalities such as positron emission tomography (PET) and diffusion weighted imaging (DWI). Providing up-to-date evidence on advantages and disadvantages of imaging modalities and tumor assessment criteria, the current review offers a practice guide to assist providers in choosing the most suitable imaging approach for patients with CRLM.
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Affiliation(s)
- Bita Hazhirkarzar
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pegah Khoshpouri
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mohammadreza Shaghaghi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mounes Aliyari Ghasabeh
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University, Wexner Medical Center, Columbus, OH, USA
| | - Ihab R Kamel
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Takasu M, Kondo S, Akiyama Y, Takahashi Y, Maeda S, Baba Y, Kawase T, Ichinohe T, Awai K. Assessment of early treatment response on MRI in multiple myeloma: Comparative study of whole-body diffusion-weighted and lumbar spinal MRI. PLoS One 2020; 15:e0229607. [PMID: 32106239 PMCID: PMC7046272 DOI: 10.1371/journal.pone.0229607] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 02/10/2020] [Indexed: 12/17/2022] Open
Abstract
Objectives To compare remission status at completion of chemotherapy for multiple myeloma (MM) with changes in total diffusion volume (tDV) calculated from whole-body diffusion-weighted imaging (WB-DWI) and fat fraction (FF) of lumbar bone marrow (BM) by modified Dixon Quant (mDixon Quant) soon after induction of chemotherapy, and to assess the predictive value of MRI. Methods Fifty patients (mean age, 66.9 ± 10.5 years) with symptomatic myeloma were examined before and after two cycles of chemotherapy. From WB-DWI data, tDV was obtained with the threshold for positive BM involvement. Mean FF was calculated from lumbar BM using the mDixon Quant sequence. At the completion of chemotherapy, patients were categorized into a CR/very good PR (VGPR) group (n = 15; mean age, 67.6 ± 10.3 years) and a PR, SD or PD group (n = 35; mean age, 69.1 ± 8.6 years). ROC curves were plotted to assess performance in predicting achievement of CR/VGPR. Results At second examination, serum M protein, β2-microglobulin, and tDV were significantly decreased and hemoglobin, mean ADC, and FF were significantly increased in the CR/VGPR group and serum M protein was significantly increased in the PR/SD/PD group. The general linear model demonstrated that percentage changes in FF and M protein contributed significantly to achieving CR/VGPR (P = 0.02, P = 0.04, respectively). AUCs of ROC curves were 0.964 for FF and 0.847 for M protein. Conclusions Early change in FF of lumbar BM and serum M protein soon after induction of chemotherapy contributed significantly to prediction of CR/VGPR.
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Affiliation(s)
- Miyuki Takasu
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
- * E-mail:
| | - Shota Kondo
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Yuji Akiyama
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Yuji Takahashi
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Shogo Maeda
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Yasutaka Baba
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Takakazu Kawase
- Department of Hematology and Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Tatsuo Ichinohe
- Department of Hematology and Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Kazuo Awai
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
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Jajodia A, Mahawar V, Chaturvedi AK, Rao A, Singla R, Mitra S, Goyal S, Kesan S, Pasricha S, Maheshwari U, Tripathi R, Babu Koyyala VP. Role of ADC values in assessing clinical response and identifying residual disease post-chemo radiation in uterine cervix cancer. Indian J Radiol Imaging 2020; 29:404-411. [PMID: 31949343 PMCID: PMC6958886 DOI: 10.4103/ijri.ijri_339_19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 10/08/2019] [Accepted: 11/26/2019] [Indexed: 01/31/2023] Open
Abstract
Objectives: To evaluate the role of apparent diffusion coefficient (ADC) values in assessing response after chemo-radiotherapy in cervix cancer and investigate the utility of ADC as a tool to identify residual disease, after the treatment completion. Methods: A prospective study was done in 100 patients with histopathologically proven cancer of uterine cervix who were classified as either complete response (CR) or residual disease posttreatment. MRI was done pretreatment and after 6 weeks post-treatment with chemo-radiation. 53 patients among the cohort also underwent a fluoro-deoxy glucose positron-emission computed tomography (FDG-PET CT). ADC values, change in ADC values, and metabolic activity obtained from FDG-PET CT were correlated with clinical outcome, and statistical analysis was done to determine the better tool for assessing response evaluation between ADC and PET-CT. Results: Residual lesions have notably lower ADC value than that of posttreatment changes. The mean ADC values of residual tumors: 1.26 ± 0.238 × 10−3 mm2/s and mean ADC values of lesions due to posttreatment changes: 1.540 ± 0.218 × 10−3 mm2/s (statistically significant difference between malignant and posttreatment lesions, P < 0.05). ADC has 67% sensitivity, 83% specificity, 35% positive predictive values (PPV), 95% negative predictive values (NPV), and 81% accuracy in differentiating residual disease from post treatment changes. PPV, NPV, sensitivity, and specificity with PET-CT were 93%, 89%, 98%, and 73%, respectively. PPV, NPV, sensitivity, and specificity of contrast MRI were 16%, 91%, 58%, and 59%, respectively. Conclusion: Diffusion imaging differentiates residual cervix malignancies from post treatment changes based on ADC values and can be a promising and evocative biomarker. Complimentary use of ADC and PET/CT may increase diagnostic confidence.
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Affiliation(s)
- Ankush Jajodia
- Department of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Vivek Mahawar
- Department of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Arvind K Chaturvedi
- Department of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Avinash Rao
- Department of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Rishu Singla
- Department of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Swarupa Mitra
- Department of Radiation Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Sumit Goyal
- Department of Medical Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Sikha Kesan
- Department of Obstetrics and Gynecology, KEM Hospital, Mumbai, Maharashtra, India
| | - Sunil Pasricha
- Department of Histopathology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Udip Maheshwari
- Department of Medical Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Rupal Tripathi
- Department of Research, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
| | - Venkata Pradeep Babu Koyyala
- Department of Medical Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi, India
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Almeida SD, Santinha J, Oliveira FPM, Ip J, Lisitskaya M, Lourenço J, Uysal A, Matos C, João C, Papanikolaou N. Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI. Cancer Imaging 2020; 20:6. [PMID: 31931880 PMCID: PMC6958755 DOI: 10.1186/s40644-020-0286-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 01/06/2020] [Indexed: 12/31/2022] Open
Abstract
Background Whole-body diffusion weighted imaging (WB-DWI) has proven value to detect multiple myeloma (MM) lesions. However, the large volume of imaging data and the presence of numerous lesions makes the reading process challenging. The aim of the current study was to develop a semi-automatic lesion segmentation algorithm for WB-DWI images in MM patients and to evaluate this smart-algorithm (SA) performance by comparing it to the manual segmentations performed by radiologists. Methods An atlas-based segmentation was developed to remove the high-signal intensity normal tissues on WB-DWI and to restrict the lesion area to the skeleton. Then, an outlier threshold-based segmentation was applied to WB-DWI images, and the segmented area’s signal intensity was compared to the average signal intensity of a low-fat muscle on T1-weighted images. This method was validated in 22 whole-body DWI images of patients diagnosed with MM. Dice similarity coefficient (DSC), sensitivity and positive predictive value (PPV) were computed to evaluate the SA performance against the gold standard (GS) and to compare with the radiologists. A non-parametric Wilcoxon test was also performed. Apparent diffusion coefficient (ADC) histogram metrics and lesion volume were extracted for the GS segmentation and for the correctly identified lesions by SA and their correlation was assessed. Results The mean inter-radiologists DSC was 0.323 ± 0.268. The SA vs GS achieved a DSC of 0.274 ± 0.227, sensitivity of 0.764 ± 0.276 and PPV 0.217 ± 0.207. Its distribution was not significantly different from the mean DSC of inter-radiologist segmentation (p = 0.108, Wilcoxon test). ADC and lesion volume intraclass correlation coefficient (ICC) of the GS and of the correctly identified lesions by the SA was 0.996 for the median and 0.894 for the lesion volume (p < 0.001). The duration of the lesion volume segmentation by the SA was, on average, 10.22 ± 0.86 min, per patient. Conclusions The SA provides equally reproducible segmentation results when compared to the manual segmentation of radiologists. Thus, the proposed method offers robust and efficient segmentation of MM lesions on WB-DWI. This method may aid accurate assessment of tumor burden and therefore provide insights to treatment response assessment.
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Affiliation(s)
- Sílvia D Almeida
- Computational Clinical Imaging Group, Champalimaud Foundation, Centre for the Unknown, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal
| | - João Santinha
- Computational Clinical Imaging Group, Champalimaud Foundation, Centre for the Unknown, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal
| | - Francisco P M Oliveira
- Radiopharmacology, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Joana Ip
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Maria Lisitskaya
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - João Lourenço
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Aycan Uysal
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Cristina João
- Hematology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal.,Immunology Department, Nova Medical School, Nova University of Lisbon, 1169-056, Lisbon, Portugal
| | - Nikolaos Papanikolaou
- Computational Clinical Imaging Group, Champalimaud Foundation, Centre for the Unknown, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal.
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Bai G, Wang Y, Zhu Y, Guo L. Prediction of Early Response to Chemotherapy in Breast Cancer Liver Metastases by Diffusion-Weighted MR Imaging. Technol Cancer Res Treat 2020; 18:1533033819842944. [PMID: 30961445 PMCID: PMC6457027 DOI: 10.1177/1533033819842944] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Objective: To determine whether change in apparent diffusion coefficient value could predict early response to chemotherapy in breast cancer liver metastases. Materials and Methods: We retrospectively studied 42 patients (86 lesions) with breast cancer liver metastases who had undergone conventional magnetic resonance imaging and diffusion-weighted imaging (b = 0.700 s/mm2) before and after chemotherapy. Maximum diameter and mean apparent diffusion coefficient value (×10−3 mm2/s) of liver metastases from breast cancer were evaluated. The grouping reference was based on magnetic resonance imaging according to Response Evaluation Criteria in Solid Tumors (RECIST). Analysis of variance and receiver–operating characteristic analyses were performed. Results: Eighty-six metastases were classified as 40 responders and 46 nonresponders. A statistically significant correlation was found between prechemotherapy and postchemotherapy apparent diffusion coefficient values in responders, which were 0.9 ± 0.16 × 10−3 mm2/s, 1.05 ± 0.12 × 10−3 mm2/s, 1.26 ± 0.12 × 10−3 mm2/s, and 1.33 ± 0.87 × 10−3 mm2/s, respectively. No statistically significant difference was found between prechemotherapy and postchemotherapy apparent diffusion coefficient values in nonresponders. Differences were statistically significant between responders and nonresponders at prechemotherapy, 2 weeks after chemotherapy, and 4 weeks after chemotherapy (P = 0.014, P = .001, and P = .000, respectively). Receiver operating characteristic curves showed that apparent diffusion coefficient values could predict treatment response early at 2 weeks after chemotherapy with 64.5% sensitivity and 91.8% specificity. Conclusion: The change in apparent diffusion coefficient value may be a sensitive indicator to predict early response to chemotherapy in breast cancer liver metastases.
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Affiliation(s)
- Genji Bai
- 1 Department of Medical Imaging, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Yating Wang
- 1 Department of Medical Imaging, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Yan Zhu
- 1 Department of Medical Imaging, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Lili Guo
- 1 Department of Medical Imaging, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
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Öz A, Server S, Koyuncu Sökmen B, Namal E, İnan N, Balcı NC. Intravoxel Incoherent Motion of Colon Cancer Liver Metastases for the Assessment of Response to Antiangiogenic Treatment: Results from a Pilot Study. Med Princ Pract 2020; 29:429-435. [PMID: 31914438 PMCID: PMC7511688 DOI: 10.1159/000505814] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Accepted: 01/08/2020] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE This study was aimed at evaluating the intravoxel incoherent motion (IVIM) parameter alterations of liver metastases of colorectal carcinoma (CRC) during antiangiogenic bevacizumab combination therapy. METHODS Twenty-five patients with CRC liver metastases treated with bevacizumab in combination with FOLFOX-or-FOLFIRI protocols were enrolled in the study. MRI was performed using a 1.5-tesla scanner pre-treatment (PT) and at 3, 6, and 9 months of therapy. Routine abdominal MRI sequences and an IVIM-DWI (diffusion-weighted imaging) sequence were obtained. The IVIM-DWI sequence was executed with 16 b-values varying from 0 to 1,400 s/mm2. The mean values of apparent diffusion coefficient (ADC), true diffusion (D), pseudodiffusion (D*), and perfusion fraction (f) of each metastasis were obtained for all b-values, and the time-related changes were recorded to analyze the chronologic responses to antiangiogenic therapy. The RECIST 1.1 criteria were used for the evaluation of treatment response. RESULTS The diameters of the metastases diminished significantly at 9 months when compared with PT (p = 0.03). The D (p = 0.10) and ADC (p = 0.21) values of the metastases increased at 9 months of therapy. D* was the highest at 3 months (p =0.24); it decreased at 6 (p =0.97) and 9 months (p =0.87) of therapy. The f value had peaked at 3 months (p =0.51) and started to decrease thereafter. At 6 months, f decreased to the lowest values (p =0.12). CONCLUSION IVIM parameters, particularly the perfusion fraction, may quantitatively reflect the response to antiangiogenic treatment. The antiangiogenic response manifests after 3 months of therapy before the RECIST-related response.
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Affiliation(s)
- Ayşegül Öz
- Department of Radiology, Faculty of Medicine, Istanbul Bilim University, Istanbul, Turkey,
| | - Sadık Server
- Department of Radiology, Faculty of Medicine, Istanbul Bilim University, Istanbul, Turkey
| | - Bedriye Koyuncu Sökmen
- Department of Radiology, Faculty of Medicine, Istanbul Bilim University, Istanbul, Turkey
| | - Esat Namal
- Department of Medical Oncology, Faculty of Medicine, Istanbul Bilim University, Istanbul, Turkey
| | - Nagihan İnan
- Department of Radiology, Faculty of Medicine, Istanbul Bilim University, Istanbul, Turkey
| | - Numan Cem Balcı
- Department of Radiology, Cleveland Clinic, Lerner School of Medicine, Abu Dhabi, United Arab Emirates
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Moustafa AFI, El Said SSMAS, Moustafa MA, Hussein MM, Shokry AM. Diffusion-weighted MR imaging diagnostic merits in the post-therapeutic assessment of musculoskeletal soft tissue sarcoma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2019. [DOI: 10.1186/s43055-019-0060-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The purpose of the study is assessing the diagnostic merits of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping in evaluating tumor response to chemo-radiotherapy. The study included 36 patients with soft tissue sarcoma, who received chemo/radiotherapy. Tumor longest dimension according to response evaluation criteria in solid tumors 1.1 (RECIST 1.1), the longest dimension of the contrast-enhanced portion of the tumor according to modified response evaluation criteria in solid tumors: (mRECIST), the tumor volume (VOL) (cm3), and DWI with ADC values were recorded.
Results
ADC values in the non-progressive group were higher than those of the progressive group after neoadjuvant treatment (1.63 ± 0.42 vs. 1.24 ± 0.35) with (p < 0.005). ADC variations in the non-progressive group were higher than those of the progressive group (27.09 ± 48.09 vs. − 3.08 ± 23.5)% with (p < 0.05). ADC values after neoadjuvant treatment were negatively related to tumor volume variations (VOL%) after neoadjuvant treatment. ADC variations (ADC%) were inversely correlated with morphologic changes, regardless of the effectiveness of anticancer therapy expressed as changes in tumor size based on (RECIST, mRECIST, and three-dimensional volumetric assessment). An increase in the ADC value was not always associated with a reduction of tumor volume.
Conclusion
Quantitative DW imaging after neoadjuvant therapy provides added value in determining treatment response in soft tissue sarcomas. Therapeutic response to neoadjuvant therapy can be underestimated using RECIST 1.1; therefore, the mRECIST should also be considered.
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El-Husseiny NG, Mehana SM, El Zawawy SF. Assessment of the percentage of apparent diffusion coefficient value changes as an early indicator of the response of colorectal hepatic metastases to chemotherapy. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2019. [DOI: 10.1186/s43055-019-0070-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Colorectal cancer is considered one of the most common causes of cancer-related deaths worldwide. We aim to evaluate the efficacy of DWI-MRI in predicting response to chemotherapy in this cohort.
The study included 30 lesions in 20 biopsy proven-colorectal cancer patients with hepatic metastasis larger than 1 cm. All patients underwent both triphasic CT with intravenous contrast, pre-chemotherapy MRI (axial T2 and DW sequences) which was repeated 21 days following chemotherapy. A follow-up CT was done 2 months later. The response of the lesions was evaluated using the RESCIST criteria. On MRI, the lesions corresponding to the ones chosen on CT were identified and the apparent diffusion coefficient (ADC) values of pre- and post-chemotherapy images were recorded and correlated with the CT results.
Results
In the study, 17 (56.7%) of the lesions showed response to chemotherapy while 13 (43.3%) were non-responding. There was no significant difference in pretreatment ADC values between responding and non-responding lesions (p = 0.14). The mean percentage increase in ADC values in responding lesions was 42% compared to 18% in non-responding lesions (p < 0.001). Lesions that showed less than 18% increase were all found to be non-responsive
Conclusion
DWI-MRI has an emerging role in early assessment of early treatment response that can be detected before morphological response for patients with hepatic metastasis from colorectal cancer. Based on our study, the use of 25 % as the cutoff point of percent difference in ADC for detection of non-responding lesions proved to be successful only 21 days after the 1st chemotherapy cycle.
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Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019; 9:1840-1890. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Liver magnetic resonance imaging (MRI) is subject to continuous technical innovations through advances in hardware, sequence and novel contrast agent development. In order to utilize the abilities of liver MR to its full extent and perform high-quality efficient exams, it is mandatory to use the best imaging protocol, to minimize artifacts and to select the most adequate type of contrast agent. In this article, we review the routine clinical MR techniques applied currently and some latest developments of liver imaging techniques to help radiologists and technologists to better understand how to choose and optimize liver MRI protocols that can be used in clinical practice. This article covers topics on (I) fat signal suppression; (II) diffusion weighted imaging (DWI) and intravoxel incoherent motion (IVIM) analysis; (III) dynamic contrast-enhanced (DCE) MR imaging; (IV) liver fat quantification; (V) liver iron quantification; and (VI) scan speed acceleration.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR, China
| | | | - Peng Wu
- Philips Healthcare (Suzhou) Co., Ltd., Suzhou 215024, China
| | - Yajie Wang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Weibo Chen
- Philips Healthcare, Shanghai 200072, China.,Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Jianqi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China
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47
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Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A. Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol 2019; 25:5233-5256. [PMID: 31558870 PMCID: PMC6761241 DOI: 10.3748/wjg.v25.i35.5233] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/06/2019] [Accepted: 08/24/2019] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians' disposal for the diagnostic management of the disease, tomographic imaging (e.g., CT, MRI, and hybrid PET imaging) is considered essential. The qualitative and subjective evaluation of tomographic images is the main approach used to obtain valuable clinical information, although this strategy suffers from both intrinsic and operator-dependent limitations. More recently, advanced imaging techniques have been developed with the aim of overcoming these issues. Such techniques, such as diffusion-weighted MRI and perfusion imaging, were designed for the "in vivo" evaluation of specific biological tissue features in order to describe them in terms of quantitative parameters, which could answer questions difficult to address with conventional imaging alone (e.g., questions related to tissue characterization and prognosis). Furthermore, it has been observed that a large amount of numerical and statistical information is buried inside tomographic images, resulting in their invisibility during conventional assessment. This information can be extracted and represented in terms of quantitative parameters through different processes (e.g., texture analysis). Numerous researchers have focused their work on the significance of these quantitative imaging parameters for the management of CRC patients. In this review, we aimed to focus on evidence reported in the academic literature regarding the application of parametric imaging to the diagnosis, staging and prognosis of CRC while discussing future perspectives and present limitations. While the transition from purely anatomical to quantitative tomographic imaging appears achievable for CRC diagnostics, some essential milestones, such as scanning and analysis standardization and the definition of robust cut-off values, must be achieved before quantitative tomographic imaging can be incorporated into daily clinical practice.
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Affiliation(s)
- Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging of the National Council of Research (CNR), Naples 80145, Italy
| | - Arnaldo Stanzione
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Salvatore Guarino
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Valeria Romeo
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Lorenzo Ugga
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Federica Romano
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Giovanni Storto
- IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture 85028, Italy
| | - Simone Maurea
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Arturo Brunetti
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
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48
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Doudou NR, Kampo S, Liu Y, Ahmmed B, Zeng D, Zheng M, Mohamadou A, Wen QP, Wang S. Monitoring the Early Antiproliferative Effect of the Analgesic-Antitumor Peptide, BmK AGAP on Breast Cancer Using Intravoxel Incoherent Motion With a Reduced Distribution of Four b-Values. Front Physiol 2019; 10:708. [PMID: 31293432 PMCID: PMC6598093 DOI: 10.3389/fphys.2019.00708] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 05/21/2019] [Indexed: 12/31/2022] Open
Abstract
Background: The present study aimed to investigate the possibility of using intravoxel incoherent motion (IVIM) diffusion magnetic resonance imaging (MRI) to quantitatively assess the early therapeutic effect of the analgesic–antitumor peptide BmK AGAP on breast cancer and also evaluate the medical value of a reduced distribution of four b-values. Methods: IVIM diffusion MRI using 10 b-values and 4 b-values (0–1,000 s/mm2) was performed at five different time points on BALB/c mice bearing xenograft breast tumors treated with BmK AGAP. Variability in Dslow, Dfast, PF, and ADC derived from the set of 10 b-values and 4 b-values was assessed to evaluate the antitumor effect of BmK AGAP on breast tumor. Results: The data showed that PF values significantly decreased in rBmK AGAP-treated mice on day 12 (P = 0.044). PF displayed the greatest AUC but with a poor medical value (AUC = 0.65). The data showed no significant difference between IVIM measurements acquired from the two sets of b-values at different time points except in the PF on the day 3. The within-subject coefficients of variation were relatively higher in Dfast and PF. However, except for a case noticed on day 0 in PF measurements, the results indicated no statistically significant difference at various time points in the rBmK AGAP-treated or the untreated group (P < 0.05). Conclusion: IVIM showed poor medical value in the early evaluation of the antiproliferative effect of rBmK AGAP in breast cancer, suggesting sensitivity in PF. A reduced distribution of four b-values may provide remarkable measurements but with a potential loss of accuracy in the perfusion-related parameter PF.
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Affiliation(s)
- Natacha Raissa Doudou
- Department of Radiology, Dalian Medical University, Dalian, China.,Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Sylvanus Kampo
- Department of Anesthesiology, Dalian Medical University, Dalian, China.,Department of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yajie Liu
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Bulbul Ahmmed
- Department of Biochemistry and Molecular Biology, Liaoning Provincial Core Lab of Glycobiology and Glycoengineering, Dalian Medical University, Dalian, China
| | - Dewei Zeng
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Minting Zheng
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Aminou Mohamadou
- Department of Radiology, Dalian Medical University, Dalian, China
| | - Qing-Ping Wen
- Department of Anesthesiology, Dalian Medical University, Dalian, China.,Department of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Shaowu Wang
- Department of Radiology, Dalian Medical University, Dalian, China.,Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
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49
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Cheung HMC, Karanicolas PJ, Coburn N, Law C, Milot L. Late Gadolinium Hyperintensity of Suspected Colorectal Liver Metastases on Gadofosveset-Enhanced Magnetic Resonance Imaging: A Predictor of Benignity and a Potential Problem-Solving Tool. Can Assoc Radiol J 2019; 70:239-245. [PMID: 31272725 DOI: 10.1016/j.carj.2019.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 02/27/2019] [Accepted: 03/19/2019] [Indexed: 01/16/2023] Open
Abstract
PURPOSE Late gadolinium hyperintensity (LGH) is sometimes seen in colorectal liver metastasis (CRLM) and represents a significant diagnostic pitfall due to overlap with LGH in benign hemangiomas; therefore, the objective of this study was to determine the prevalence of LGH and the ability of LGH to differentiate between CRLM and benign lesions with intravascular (gadofosveset) vs extracellular contrast agents (gadobutrol). METHODS Patients with known colorectal cancer and suspected liver lesions were prospectively recruited into this institutional review board-approved, single institution study and received magnetic resonance imaging of the liver with gadofosveset and gadobutrol. The prevalence of LGH for CRLMs and solid benign lesions was determined. Receiver operating characteristics curves were determined for the presence of LGH as a predictor of benignity. The utility of LGH to differentiate between CRLM and solid benign lesions using gadofosveset vs gadobutrol was compared using the generalized estimating equation. RESULTS Twenty-five patients with 131 solid focal liver lesions were recruited. The prevalence of LGH of CRLMs was 11.2% (95% confidence interval [CI]: 0.5%-21.8%) with gadofosveset vs 63.7% (95% CI: 45.7%-81.7%) with gadobutrol. The area under the receiver operating characteristic curve for the presence of LGH as a predictor of benignity was 0.86 using gadofosveset vs 0.75 using gadobutrol. Both LGH (P = .003) and the interaction of contrast agent and LGH (P = .003) statistically significantly differentiated CRLM from benign lesions. CONCLUSION LGH is more common with extracellular than with intravascular contrast agents and is statistically significantly associated with benign lesions rather than metastases.
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Affiliation(s)
- Helen M C Cheung
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
| | - Paul J Karanicolas
- Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Natalie Coburn
- Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Calvin Law
- Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Laurent Milot
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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50
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Zhou Y, Zhang HX, Zhang XS, Sun YF, He KB, Sang XQ, Zhu YM, Kuai ZX. Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer. Cancer Imaging 2019; 19:39. [PMID: 31217036 PMCID: PMC6585014 DOI: 10.1186/s40644-019-0228-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/13/2019] [Indexed: 02/08/2023] Open
Abstract
Background Preoperative chemotherapy is becoming standard therapy for liver metastasis from colorectal cancer, so early assessment of treatment response is crucial to make a reasonable therapeutic regimen and avoid overtreatment, especially for patients with severe side effects. The role of three non-mono-exponential diffusion models, such as the kurtosis model, the stretched exponential model and the statistical model, were explored in this study to early assess the response to chemotherapy in patients with liver metastasis from colorectal cancer. Methods Thirty-three patients diagnosed as colorectal liver metastasis were evaluated in this study. Diffusion-weighted images with b values (0, 200, 500, 1000, 1500, 2000 s/mm2) were acquired at 3.0 T. The parameters (ADCk, K, DDC,α, Dsand σ) were derived from three non-mono-exponential models (the kurtosis, stretched exponential and statistical models) as well as their corresponding percentage changes before and after chemotherapy. The difference in above parameters between the response and non-response groups were analyzed with independent-samples T-test (normality) and Mann–Whitney U-test (non-normality). Meanwhile, receiver operating characteristic curve (ROC) analyses were performed to assess the response to chemotherapy. Results Significantly lower values of K (the kurtosis coefficient derived from the kurtosis model) and σ (the width of diffusion coefficient distribution in the statistical model) (P < 0.05) were observed in the respond group before treatment, as well as higher ΔK and Δσ values (P < 0.05) after the first cycle of chemotherapy were also found compared with the non-respond group. ROC analyses showed the K value acquired before treatment had the highest diagnostic performance (0.746) in distinguishing responders from non-responders. Furthermore, the high sensitivity (100%) and accuracy (76.3%) from the K value before treatment was found in assessing the response of colorectal liver metastasis to chemotherapy. Conclusions The non-mono-exponential diffusion models may be able to predict early response to chemotherapy in patients with colorectal liver metastasis.
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Affiliation(s)
- Yang Zhou
- Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin, 150081, China
| | - Hong-Xia Zhang
- Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin, 150081, China
| | - Xiu-Shi Zhang
- Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin, 150081, China
| | - Yun-Feng Sun
- Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin, 150081, China
| | - Kuang-Bang He
- Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin, 150081, China
| | - Xi-Qiao Sang
- Division of Respiratory Disease, The Fourth Hospital of Harbin Medical University, Harbin, 150001, China
| | - Yue-Min Zhu
- CREATIS, CNRS UMR 5220-INSERM U1206, University Lyon 1-INSA Lyon-University Jean Monnet Saint-Etienne, 69621, Lyon, France
| | - Zi-Xiang Kuai
- Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin, 150081, China.
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