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For: Bonarelli C, Teixeira PA, Hossu G, Meyer JB, Chen B, Gay F, Blum A. Impact of ROI Positioning and Lesion Morphology on Apparent Diffusion Coefficient Analysis for the Differentiation Between Benign and Malignant Nonfatty Soft-Tissue Lesions. AJR Am J Roentgenol 2015;205:W106-13. [PMID: 26102407 DOI: 10.2214/AJR.14.13865] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]

For:	Bonarelli C, Teixeira PA, Hossu G, Meyer JB, Chen B, Gay F, Blum A. Impact of ROI Positioning and Lesion Morphology on Apparent Diffusion Coefficient Analysis for the Differentiation Between Benign and Malignant Nonfatty Soft-Tissue Lesions. AJR Am J Roentgenol 2015;205:W106-13. [PMID: 26102407 DOI: 10.2214/AJR.14.13865] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]

Number

Cited by Other Article(s)

Vogin G, Lepage M, Salleron J, Cuenin M, Blum A, Gondim Teixeira PA. Evaluation of the Prognostic Value of Pretherapeutic Magnetic Resonance Imaging in Predicting Soft Tissue Sarcoma Radiation Response: A Retrospective Study from a Large Institutional Sarcoma Imaging Database. Cancers (Basel) 2024;16:878. [PMID: 38473238 DOI: 10.3390/cancers16050878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/10/2024] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open

Mohakud S, Das R, Bag ND, Mohapatra PR, Mishra P, Naik S. A Prospective Observational Study of Diagnostic Reliability of Semiquantitative and Quantitative High b-Value Diffusion-Weighted MRI in Distinguishing between Benign and Malignant Lung Lesions at 3 Tesla. Indian J Radiol Imaging 2024;34:6-15. [PMID: 38106852 PMCID: PMC10723977 DOI: 10.1055/s-0043-1771530] [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] [Indexed: 12/19/2023] Open

Abstract

Aim The aim of this study was to evaluate the usefulness of high b-value diffusion-weighted imaging (DWI) to differentiate benign and malignant lung lesions in 3 Tesla magnetic resonance imaging (MRI). Materials and Methods Thirty-one patients with lung lesions underwent a high b-value (b= 1000 s/mm 2 ) DW MRI in 3 Tesla. Thirty lesions were biopsied, followed by histopathological analysis, and one was serially followed up for 2 years. Statistical analysis was done to calculate the sensitivity, specificity, and accuracy of different DWI parameters in distinguishing benign and malignant lesions. Receiver operating characteristic (ROC) curves were used to determine the cutoff values of different parameters. Results The qualitative assessment of signal intensity on DWI based on a 5-point rank scale had a mean score of 2.71 ± 0.75 for benign and 3. 75 ± 0.60 for malignant lesions. With a cutoff of 3.5, the sensitivity, specificity, and accuracy were 75, 86, and 77.6%, respectively. The mean ADC min (minimum apparent diffusion coefficient) value of benign and malignant lesions was 1. 49 ± 0.38 × 10-3 mm 2 /s and 1.11 ± 0.20 ×10-3 mm 2 /s, respectively. ROC curve analysis showed a cutoff value of 1.03 × 10-3 mm 2 /s; the sensitivity, specificity, and accuracy were 87.5, 71.4, and 83.3%, respectively. For lesion to spinal cord ratio and lesion to spinal cord ADC ratio with a cutoff value of 1.08 and 1.38, the sensitivity, specificity, and accuracy were 83.3 and 87.5%, 71.4 and 71.4%, and 80.6 and 83.8%, respectively. The exponential ADC showed a low accuracy rate. Conclusion The semiquantitative and quantitative parameters of high b-value DW 3 Tesla MRI can differentiate benign from malignant lesions with high accuracy and make it a reliable nonionizing modality for characterizing lung lesions.

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Yang Y, Fang S, Tao J, Liu Y, Wang C, Yin Z, Chen B, Duan Z, Liu W, Wang S. Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning. J Magn Reson Imaging 2022;57:1406-1413. [PMID: 35864603 DOI: 10.1002/jmri.28371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/08/2022] [Accepted: 07/08/2022] [Indexed: 11/08/2022] Open

Abstract

BACKGROUND

Diffusion-weighted imaging (DWI) has demonstrated great potential in predicting the expression of tumor cell proliferation and apoptosis indexes.

PURPOSE

To evaluate the impact of four region of interest (ROI) methods on interobserver variability and apparent diffusion coefficient (ADC) values and to examine the correlation of ADC values with Ki-67, Bcl-2, and P53 labeling indexes (LIs) in a murine model of fibrosarcoma.

STUDY TYPE

Prospective, animal model.

ANIMAL MODEL

A total of 22 female BALB/c mice bearing intramuscular fibrosarcoma xenografts.

FIELD STRENGTH/SEQUENCE

A 3.0 T/T1-weighted fast spin-echo (FSE), T2-weighted fast relaxation fast spin-echo, and DWI PROPELLER FSE sequences.

ASSESSMENT

Four radiologists measured ADC values using four ROI methods (oval, freehand, small-sample, and whole-volume). Immunohistochemical assessment of Ki-67, Bcl-2, and P53 LIs was performed.

STATISTICAL TESTS

Interclass correlation coefficient (ICC), one-way analysis of variance followed by LSD-t post hoc analysis, and Pearson correlation test were performed. The statistical threshold was defined as a P-value of <0.05.

RESULTS

All ROI methods for ADC measurements showed excellent interobserver agreement (ICC range, 0.832-0.986). The ADC values demonstrated significant differences among the four ROI methods. The ADC values for oval, freehand, small-sample, and whole-volume ROI methods showed a moderately negative correlation with Ki-67 (r = -0.623; r = -0.629; r = -0.642, and r = -0.431) and Bcl-2 (r = -0.590; r = -0.597; r = -0.659, and r = -0.425) LIs, but no correlation with P53 LI (r = 0.364, P = 0.104; r = 0.350, P = 0.120; r = 0.379, P = 0.091; r = 0.390, P = 0.080).

DATA CONCLUSION

The ADC value can be used to evaluate cell proliferation and apoptosis indexes in a murine model of fibrosarcoma, employing the small-sample ROI as a reliable method.

EVIDENCE LEVEL

1 TECHNICAL EFFICACY: Stage 3.

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Le NN, Li W, Onishi N, Newitt DC, Gibbs JE, Wilmes LJ, Kornak J, Partridge SC, LeStage B, Price ER, Joe BN, Esserman LJ, Hylton NM. Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer. Tomography 2022;8:1208-1220. [PMID: 35645385 PMCID: PMC9149942 DOI: 10.3390/tomography8030099] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/16/2022] Open

Affiliation(s)

Nu N. Le Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
Wen Li Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.) Correspondence:
Natsuko Onishi Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
David C. Newitt Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
Jessica E. Gibbs Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
Lisa J. Wilmes Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
John Kornak Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA;
Savannah C. Partridge Department of Radiology, University of Washington, Seattle, WA 98195, USA;
Barbara LeStage I-SPY 2 Advocacy Group, San Francisco, CA 94143, USA;
Elissa R. Price Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
Bonnie N. Joe Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)
Laura J. Esserman Department of Surgery and Radiology, University of California, San Francisco, CA 94143, USA;
Nola M. Hylton Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (N.N.L.); (N.O.); (D.C.N.); (J.E.G.); (L.J.W.); (E.R.P.); (B.N.J.); (N.M.H.)

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Wang Q, Xiao X, Liang Y, Wen H, Wen X, Gu M, Ren C, Li K, Yu L, Lu L. Diagnostic Performance of Diffusion MRI for differentiating Benign and Malignant Nonfatty Musculoskeletal Soft Tissue Tumors: A Systematic Review and Meta-analysis. J Cancer 2022;12:7399-7412. [PMID: 35003360 PMCID: PMC8734420 DOI: 10.7150/jca.62131] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 10/02/2021] [Indexed: 01/15/2023] Open

Abstract

Objective: To evaluate the diagnostic performance of standard diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI), for differentiating benign and malignant soft tissue tumors (STTs).

Materials and methods: A thorough search was carried out to identify suitable studies published up to September 2020. The quality of the studies involved was evaluated using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The pooled sensitivity (SEN), specificity (SPE), and summary receiver operating characteristic (SROC) curve were calculated using bivariate mixed effects models. A subgroup analysis was also performed to explore the heterogeneity.

Results: Eighteen studies investigating 1319 patients with musculoskeletal STTs (malignant, n=623; benign, n=696) were enrolled. Thirteen standard DWI studies using the apparent diffusion coefficient (ADC) showed that the pooled SEN and SPE of ADC were 0.80 (95% CI: 0.77-0.82) and 0.63 (95% CI: 0.60-0.67), respectively. The area under the curve (AUC) calculated from the SROC curve was 0.806. The subgroup analysis indicated that the percentage of myxoid malignant tumors, magnet strength, study design, and ROI placement were significant factors affecting heterogeneity. Four IVIM studies showed that the AUCs calculated from the SROC curves of the parameters ADC and D were 0.859 and 0.874, respectively. The AUCs for the IVIM parameters pseudo diffusion coefficient (D*) and perfusion fraction (f) calculated from the SROC curve were 0.736 and 0.573, respectively. Two DKI studies showed that the AUCs of the DKI parameter mean kurtosis (MK) were 0.97 and 0.89, respectively.

Conclusion: The DWI-derived ADC value and the IVIM DWI-derived D value might be accurate tools for discriminating musculoskeletal STTs, especially for non-myxoid SSTs, using more than two b values, with maximal b value ranging from 600 to 800 s/mm², additionally, a high-field strength (3.0 T) optimizes the diagnostic performance.

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Kang JY, Zhang K, Liu AL, Wang HL, Zhang LN, Liu WV. Characteristics of primary giant cell tumor in soft tissue on magnetic resonance imaging: A case report. World J Clin Cases 2021;9:9564-9570. [PMID: 34877291 PMCID: PMC8610883 DOI: 10.12998/wjcc.v9.i31.9564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 08/20/2021] [Accepted: 09/16/2021] [Indexed: 02/06/2023] Open

Abstract

BACKGROUND

Primary soft tissue giant cell tumor (GCT-ST) is rare and has relatively low malignant potential. Most reports are pathological and clinical studies, while imaging studies have only been reported in cases of adjacent bone or with atypical cystic degeneration. With regard to the findings on magnetic resonance imaging (MRI) or ultrasonography, superficial masses can be further identified based on facial edema, skin thickening, skin contact, internal hemorrhage or necrosis and lobulation of the mass. Unlike deep-seated masses, MRI features do not always provide an accurate diagnosis for benign and malignant patients with superficial soft-tissue lesions. Thus, the application of diffusion-weighted imaging (DWI) to evaluate superficial soft tissue tumors is necessary.

CASE SUMMARY

A 36-year-old woman who had a suspected malignant tumor in the upper limb on ultrasound and computed tomography is reported. The signal intensity of the suspected tumor was heterogeneous on plain MRI; nodular and heterogeneous enhancement was observed in the tumor with irregular shapes and blurred margins on dynamic contrast-enhanced MRI. The lesion on DWI was hyperintense with a higher mean apparent diffusion coefficient (ADC) value. Finally, a GCT-ST was confirmed by pathology. This case suggests that GCT-ST should be distinguished as a benign soft tissue mass from giant cell-rich soft tissue neoplasms or malignant tumors.

CONCLUSION

The MRI features of the superficial GCT-ST in the upper limb included heterogeneous signal intensity within the lesion on T2-weighted image (T2WI) and T1-weighted fat-saturation spoiled gradient recalled echo (T1 FSPGR), nodular enhancement with blurred margins, irregular shapes, and a slow-increased enhancement. DWI could be used to differentiate a benign soft tissue mass from a malignant mass by the mean ADC value and provide more radiologic-pathologic information for the diagnosis of GCT-ST. Comprehensive imaging of primary GCT-ST could help complete tumor resection, and in turn likely prolong survival after surgery.

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Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models. J Digit Imaging 2021;34:1146-1155. [PMID: 34545474 PMCID: PMC8554992 DOI: 10.1007/s10278-021-00513-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 08/18/2021] [Accepted: 08/22/2021] [Indexed: 12/26/2022] Open

Does the SUVmax of FDG-PET/CT Correlate with the ADC Values of DWI in Musculoskeletal Malignancies? J Belg Soc Radiol 2021;105:11. [PMID: 33665542 PMCID: PMC7908928 DOI: 10.5334/jbsr.2378] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open

Dodin G, Salleron J, Jendoubi S, Abou Arab W, Sirveaux F, Blum A, Gondim Teixeira PA. Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors. Eur Radiol 2020;31:1536-1547. [PMID: 32885297 DOI: 10.1007/s00330-020-07190-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 07/01/2020] [Accepted: 08/12/2020] [Indexed: 11/30/2022]

Abstract

OBJECTIVES

To evaluate the added value of DWI, qualitative proton MR spectroscopy (H-MRS) and dynamic contrast-enhanced perfusion (DCE-P) to conventional MRI in differentiating benign and malignant non-fatty soft tissue tumors (NFSTT).

METHODS

From November 2009 to August 2017, 288 patients with NFSTT that underwent conventional and advanced MRI were prospectively evaluated. The study was approved by the local ethics committee. All patients signed an informed consent. A musculoskeletal (R1) and a general (R2) radiologist classified all tumors as benign, malignant, or indeterminate according to morphologic MRI features. Then, DWI, H-MRS, and DCE-P data of indeterminate tumors were analyzed by two additional radiologists (R3 and R4). Advanced techniques were considered individually and in combination for tumor benign-malignant differentiation using histology as the gold standard.

RESULTS

There were 104 (36.1%) malignant and 184 (63.9%) benign tumors. Conventional MRI analysis classified 99 tumors for R1 and 135 for R2 as benign or malignant, an accuracy for the identification of malignancy of 87.9% for R1 and 83.7% for R2, respectively. There were 189 indeterminate tumors for R1. For these tumors, the combination of DWI and H-MRS yielded the best accuracy for malignancy identification (77.4%). DWI alone provided the best sensitivity (91.8%) while the combination of DCE-P, DWI, and H-MRS yielded the best specificity (100%). The reproducibility of the advanced imaging parameters was considered good to excellent (Kappa and ICC > 0.86). An advanced MRI evidence-based evaluation algorithm was proposed allowing to characterize 28.1 to 30.1% of indeterminate non-myxoid tumors.

CONCLUSION

The prioritized use of advanced MRI techniques allowed to decrease by about 30% the number of non-myxoid NFSTT deemed indeterminate after conventional MRI analysis alone.

KEY POINTS

• When morphological characterization of non-fatty soft tissue tumors is possible, the diagnostic performance is high and there is no need for advanced imaging techniques. • Following morphologic analysis, advanced MRI techniques reduced by about 30% the number of non-myxoid indeterminate tumors. • DWI is the keystone of advanced imaging techniques yielding the best sensitivity (91.8%). Optimal specificity (> 90%) is obtained by a combination of advanced techniques.

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Ono T, Kishimoto K, Tajima S, Maeda I, Takagi M, Suzuki N, Mimura H. Apparent diffusion coefficient (ADC) values of serous, endometrioid, and clear cell carcinoma of the ovary: pathological correlation. Acta Radiol 2020;61:992-1000. [PMID: 31698924 DOI: 10.1177/0284185119883392] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]

Peng Y, Xu C, Hu X, Shen Y, Hu D, Kamel I, Li Z. Reduced Field-of-View Diffusion-Weighted Imaging in Histological Characterization of Rectal Cancer: Impact of Different Region-of-Interest Positioning Protocols on Apparent Diffusion Coefficient Measurements. Eur J Radiol 2020;127:109028. [DOI: 10.1016/j.ejrad.2020.109028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 03/11/2020] [Accepted: 04/14/2020] [Indexed: 01/21/2023]

Intravoxel incoherent motion MRI for the initial characterization of non-fatty non-vascular soft tissue tumors. Diagn Interv Imaging 2019;101:245-255. [PMID: 31837951 DOI: 10.1016/j.diii.2019.11.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 11/12/2019] [Accepted: 11/13/2019] [Indexed: 01/02/2023]

Lee SY, Jee WH, Yoo IR, Jung JY, Im SA, Chung YG, Kang JH. Comparison of 3T diffusion-weighted MRI and ¹⁸F-FDG PET/CT in musculoskeletal tumours: quantitative analysis of apparent diffusion coefficients and standardized uptake values. Br J Radiol 2019;92:20181051. [PMID: 31322913 DOI: 10.1259/bjr.20181051] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open

Liu C, Wang K, Li X, Zhang J, Ding J, Spuhler K, Duong T, Liang C, Huang C. Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model. J Magn Reson Imaging 2017;47:1701-1710. [PMID: 29165847 DOI: 10.1002/jmri.25904] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 11/06/2017] [Indexed: 01/13/2023] Open

18F-Fluorodeoxyglucose Positron Emission Tomography/Magnetic Resonance in Lymphoma: Comparison With 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and With the Addition of Magnetic Resonance Diffusion-Weighted Imaging. Invest Radiol 2016;51:163-9. [PMID: 26784400 PMCID: PMC4747979 DOI: 10.1097/rli.0000000000000218] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]

Abstract

Objectives

The aim of this study was to compare ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/magnetic resonance (MR) (with and without diffusion-weighted imaging [DWI]) to ¹⁸F-FDG PET/computed tomography (CT), with regard to the assessment of nodal and extranodal involvement, in patients with Hodgkin lymphoma and non-Hodgkin lymphoma, without restriction to FDG-avid subytpes.

Materials and Methods

Patients with histologically proven lymphoma were enrolled in this prospective, institutional review board–approved study. After a single ¹⁸F-FDG injection, patients consecutively underwent ¹⁸F-FDG PET⁄CT and ¹⁸F-FDG PET/MR on the same day for staging or restaging. Three sets of images were analyzed separately: ¹⁸F-FDG PET/CT, ¹⁸F-FDG PET/MR without DWI, and ¹⁸F-FDG PET/MR with DWI. Region-based agreement and examination-based sensitivity and specificity were calculated for ¹⁸F-FDG PET/CT, ¹⁸F-FDG PET/MR without DWI, and ¹⁸F-FDG PET/MR DWI. Maximum and mean standardized uptake values (SUV_max, SUV_mean) on ¹⁸F-FDG PET/CT and ¹⁸F-FDG PET/MR were compared and correlated with minimum and mean apparent diffusion coefficients (ADC_min, ADC_mean).

Results

Thirty-four patients with a total of 40 examinations were included. Examination-based sensitivities for ¹⁸F-FDG PET/CT, ¹⁸F-FDG PET/MR, and ¹⁸F-FDG PET/MR DWI were 82.1%, 85.7%, and 100%, respectively; specificities were 100% for all 3 techniques; and accuracies were 87.5%, 90%, and 100%, respectively. ¹⁸F-FDG PET/CT was false negative in 5 of 40 examinations (all with mucosa-associated lymphoid tissue lymphoma), and ¹⁸F-FDG PET/MR (without DWI) was false negative in 4 of 40 examinations. Region-based percentages of agreement were 99% (κ, 0.95) between ¹⁸F-FDG PET/MR DWI and ¹⁸F-FDG PET/CT, 99.2% (κ, 0.96) between ¹⁸F-FDG PET/MR and ¹⁸F-FDG PET/CT, and 99.4% (κ, 0.97) between ¹⁸F-FDG PET/MR DWI and ¹⁸F-FDG PET/MR. There was a strong correlation between ¹⁸F-FDG PET/CT and ¹⁸F-FDG PET/MR for SUV_max (r = 0.83) and SUV_mean (r = 0.81) but no significant correlation between ADC_min and SUV_max (¹⁸F-FDG PET/CT: r = 0.46, P = 0.65; ¹⁸F-FDG PET/MR: r = 0.64, P = 0.53) or between ADC_mean and SUV_mean (respectively, r = −0.14, P = 0.17 for the correlation with PET/CT and r = −0.14, P = 0.14 for the correlation with PET/MR).

Conclusions

¹⁸F-FDG PET/MR and ¹⁸F-FDG PET/CT show a similar diagnostic performance in lymphoma patients. However, if DWI is included in the ¹⁸F-FDG PET/MR protocol, results surpass those of ¹⁸F-FDG PET/CT because of the higher sensitivity of DWI for mucosa-associated lymphoid tissue lymphomas.

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Çakmak V, Ufuk F, Karabulut N. Diffusion-weighted MRI of pulmonary lesions: Comparison of apparent diffusion coefficient and lesion-to-spinal cord signal intensity ratio in lesion characterization. J Magn Reson Imaging 2016;45:845-854. [DOI: 10.1002/jmri.25426] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 08/02/2016] [Indexed: 12/14/2022] Open

Apparent diffusion coefficient measurements in diffusion-weighted magnetic resonance imaging of the anterior mediastinum: inter-observer reproducibility of five different methods of region-of-interest positioning. Eur Radiol 2016;27:1386-1394. [DOI: 10.1007/s00330-016-4527-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 05/23/2016] [Accepted: 07/21/2016] [Indexed: 12/12/2022]

Teixeira PAG, Gay F, Chen B, Zins M, Sirveaux F, Felblinger J, Blum A. Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values. Skeletal Radiol 2016;45:263-71. [PMID: 26619837 DOI: 10.1007/s00256-015-2302-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Revised: 11/16/2015] [Accepted: 11/18/2015] [Indexed: 02/02/2023]