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Li Q, Cao PZ, Wei XX, Yu WW, Sang ZT, Hou YJ, Feng QX, Hsu YC, Darwish O, Sun NN, Wu FY, Liu XS. Multi-orientation and prone-position ZOOMit diffusion-weighted imaging for predicting T stage in distal gastric cancer. Eur Radiol 2025:10.1007/s00330-025-11638-6. [PMID: 40307529 DOI: 10.1007/s00330-025-11638-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 03/19/2025] [Accepted: 04/05/2025] [Indexed: 05/02/2025]
Abstract
PURPOSE To compare the image quality of ZOOMit diffusion-weighted imaging (ZOOMit DWI) of distal gastric cancer in prone vs supine positioning and to determine whether multi-orientation ZOOMit DWI (M-ZOOMit) offers additional diagnostic value over axial ZOOMit DWI (A-ZOOMit). METHODS AND MATERIALS This two-phase study enrolled patients with biopsy-confirmed distal gastric cancer who underwent pre-treatment MRI. In phase 1 (November 2021 to February 2022), participants underwent ZOOMit DWI in both standard supine and prone positions. Two radiologists independently evaluated image quality on supine and prone ZOOMit DWI using a 5-point Likert scale. In phase 2 (March 2022 to September 2023), participants were imaged solely in the prone position; they subsequently underwent radical surgery. Histopathological findings served as the reference standard. The accuracy of T staging based on uni-orientation (axial, coronal, and sagittal) vs M-ZOOMit was assessed by four additional radiologists. Reader consistency and agreement on image quality scores were evaluated using κ-agreement and Kendall W analyses. RESULTS Phase 1 enrolled 30 patients (mean age, 62.0 years ± 11.5 [standard deviation]; 19 men); phase 2 enrolled 134 patients (mean age, 60.9 years ± 11.7; 81 men). Image quality scores assigned by both readers were significantly higher for prone ZOOMit DWI than for supine ZOOMit DWI (p < 0.001). Regarding overall T staging, M-ZOOMit and coronal ZOOMit DWI (C-ZOOMit) demonstrated significantly better performance relative to A-ZOOMit (both p < 0.05). CONCLUSION ZOOMit DWI in the prone position provides superior image quality. M-ZOOMit and C-ZOOMit enhance T staging accuracy compared to A-ZOOMit for distal gastric cancer. KEY POINTS Question DWI is a powerful technique, but poor image quality has remained a key limitation, hindering diagnostic accuracy for distal gastric cancer. Findings The prone-position ZOOMit DWI improved the image quality. Besides, multi-orientation and coronal ZOOMit DWI demonstrated superior performance relative to A-ZOOMit DWI for T staging. Clinical relevance The prone-position and M-ZOOMit DWI is a better imaging protocol for the T staging assessment of distal gastric cancer patients, replacing the conventional supine-position and axial DWI.
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Affiliation(s)
- Qiong Li
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Pei-Zhong Cao
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiao-Xue Wei
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wen-Wei Yu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zi-Tong Sang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ya-Jun Hou
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiu-Xia Feng
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi-Cheng Hsu
- MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China
| | - Omar Darwish
- MR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany
| | - Na-Na Sun
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
| | - Fei-Yun Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
| | - Xi-Sheng Liu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Xin X, Tang Y, Lu M, Huang J, Shang J, Yang L, Dai L, Yin J, Li J, Leng Q, Tang H, Zhong X. Prognostic value of diffusion-weighted imaging to cytoreductive surgery with or without hyperthermic intraperitoneal chemotherapy for patients with gastric cancer and peritoneal metastases. BMC Cancer 2025; 25:616. [PMID: 40188022 PMCID: PMC11972487 DOI: 10.1186/s12885-025-14008-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2025] [Accepted: 03/24/2025] [Indexed: 04/07/2025] Open
Abstract
BACKGROUND To investigate the prognostic value of the apparent diffusion coefficient (ADC) calculated from diffusion-weighted imaging (DWI) to cytoreductive surgery (CRS), with or without hyperthermic intraperitoneal chemotherapy (HIPEC), for gastric cancer (GC) patients with peritoneal metastasis (PM). METHODS Between May 2016 and December 2020, 95 newly diagnosed GC patients with PM who underwent CRS combined with HIPEC (CRS + HIPEC group, n = 61) and CRS alone (CRS group, n = 34) were retrospectively included. All patients underwent abdominal 3.0 T MRI scan, including DWI, and the mean ADC (ADCmean), minimum ADC (ADCmin), and maximum ADC (ADCmax) values of the whole-volume tumor were measured. The prognostic value of the ADC parameters and clinical and histopathological characteristics were investigated by univariate and multivariate Cox analyses. RESULTS The median overall survival (OS) periods of the CRS + HIPEC and CRS groups were 18 and 9 months, respectively ([hazard ratio (HR) = 0.44 [95% CI: 0.27-0.71], P<0.001). The ADCmean and ADCmin values were positively correlated with OS in all patients (Spearman's rho [R] = 0.361 and 0.470), as well as in the CRS + HIPEC (R = 0.369 and 0.417) and CRS (R = 0.192 and 0.409) groups. The multivariate Cox analysis demonstrated that the ADCmean ≤ 1.39 × 10- 3 mm2/s and ADCmin ≤ 0.77 × 10- 3 mm2/s were significantly associated with a negative prognosis in the total population (HR = 1.68 [95% CI: 1.02-2.75] and 2.48 [95% CI: 1.51-4.08], P all < 0.05) and the CRS + HIPEC group (HR = 2.22 [95% CI: 1.19-4.14] and 2.37 [95% CI: 1.26-4.37], P all < 0.05), along with pathologic T and N stages. Only the ADCmin ≤ 0.77 × 10- 3 mm2/s was identified as an independent prognostic factor in the CRS group (HR = 3.49 [95% CI: 1.19-10.20], P = 0.022). CONCLUSIONS The minimum ADC was identified as a strong independent prognostic factor for GC patients with PM who underwent CRS, with or without HIPEC.
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Affiliation(s)
- Xin Xin
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yongfang Tang
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Man Lu
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jie Huang
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jian Shang
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lidan Yang
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lihuan Dai
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jinxue Yin
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiansheng Li
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China
| | - Qibin Leng
- Department of Oncology Institute, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
| | - Hongsheng Tang
- Department of Abdominal Surgery, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
| | - Xi Zhong
- Department of Medical Imaging, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
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Houvast RD, van Duijvenvoorde M, Thijse K, de Steur WO, de Geus-Oei LF, Crobach ASLP, Burggraaf J, Vahrmeijer AL, Kuppen PJK. Selecting Targets for Molecular Imaging of Gastric Cancer: An Immunohistochemical Evaluation. Mol Diagn Ther 2025; 29:213-227. [PMID: 39541080 PMCID: PMC11860997 DOI: 10.1007/s40291-024-00755-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Tumor-targeted positron emission tomography (PET) and fluorescence-guided surgery (FGS) could address current challenges in pre- and intraoperative imaging of gastric cancer. Adequate selection of molecular imaging targets remains crucial for successful tumor visualization. This study evaluated the potential of integrin αvβ6, carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5), epidermal growth factor receptor (EGFR), epithelial cell adhesion molecule (EpCAM) and human epidermal growth factor receptor-2 (HER2) for molecular imaging of primary gastric cancer, as well as lymph node and distant metastases. METHODS Expression of αvβ6, CEACAM5, EGFR, EpCAM and HER2 was determined using immunohistochemistry in human tissue specimens of primary gastric adenocarcinoma, healthy surrounding stomach, esophageal and duodenal tissue, tumor-positive and tumor-negative lymph nodes, and distant metastases, followed by quantification using the total immunostaining score (TIS). RESULTS Positive biomarker expression in primary gastric tumors was observed in 86% for αvβ6, 72% for CEACAM5, 77% for EGFR, 93% for EpCAM and 71% for HER2. Tumor expression of CEACAM5, EGFR and EpCAM was higher compared to healthy stomach tissue expression, while this was not the case for αvβ6 and HER2. Tumor-positive lymph nodes could be distinguished from tumor-negative lymph nodes, with accuracy ranging from 82 to 93% between biomarkers. CEACAM5, EGFR and EpCAM were abundantly expressed on distant metastases, with expression in 88-95% of tissue specimens. CONCLUSION Our findings show that CEACAM5, EGFR and EpCAM are promising targets for molecular imaging of primary gastric cancer, as well as visualization of both lymph node and distant metastases. Further clinical evaluation of PET and FGS tracers targeting these antigens is warranted.
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Affiliation(s)
- Ruben D Houvast
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
| | | | - Kira Thijse
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Wobbe O de Steur
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Lioe-Fee de Geus-Oei
- Department of Radiation Science & Technology, Delft University of Technology, Delft, The Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, The Netherlands
| | - A Stijn L P Crobach
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jacobus Burggraaf
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
- Centre for Human Drug Research, Leiden, The Netherlands
| | | | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
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Rahadiani N, Stephanie M, Manatar AF, Krisnuhoni E. The Diagnostic Utility of cfDNA and ctDNA in Liquid Biopsies for Gastrointestinal Cancers over the Last Decade. Oncol Res Treat 2024; 48:125-141. [PMID: 39681095 DOI: 10.1159/000543030] [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: 07/18/2024] [Accepted: 12/02/2024] [Indexed: 12/18/2024]
Abstract
BACKGROUND Cell-free DNA (cfDNA) is a fragmented DNA that is released into the blood through necrosis, apoptosis, phagocytosis, or active secretion. cfDNA includes a subclass called circulating tumor DNA (ctDNA) released from cancer cells and constitutes a varied proportion of the total cfDNA. Both cfDNA and ctDNA hold significant potential as diagnostic biomarkers in gastrointestinal cancers. SUMMARY cfDNA and ctDNA are promising diagnostic biomarkers for gastrointestinal cancers with varied diagnostic values in different types of cancers. cfDNA offers higher sensitivity that makes it more suitable for screening methods and constant monitoring, particularly in integration with conventional biomarkers or in a multimarker model. On the contrary, ctDNA gives a real-time picture of tumor genetics and is more suitable for definitive diagnosis due to its specificity for tumor-associated alterations. Different types of samples and methods of detection can influence sensitivity, and the amount of cfDNA is higher in serum but plasma is used for cfDNA analysis because it contains less cellular contamination. In summary, cfDNA is more sensitive than ctDNA, although they have comparable or slightly lower specificity. KEY MESSAGE Further studies are needed to create common guidelines, minimize the cost of analysis, and perform extensive clinical trials to demonstrate the utility of circulating cfDNA and ctDNA in the vast majority of gastrointestinal cancer stages. Therefore, with the advancement in these technologies, cfDNA and ctDNA will be highly beneficial and evolve cancer diagnostics and therapy.
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Affiliation(s)
- Nur Rahadiani
- Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Marini Stephanie
- Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Amelia Fossetta Manatar
- Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Ening Krisnuhoni
- Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
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Klingbeil KD, Eng IK, Dube P, Dillon DL, Bechay K, Manouchehr‐Pour S, Bastani R, Viragh K, Thomas MR, Kadera BE. CT Imaging as a Single Modality for Clinical Staging of Gastric Cancer in Limited Resource Centers: A Retrospective Pilot Study. J Surg Oncol 2024; 130:1551-1562. [PMID: 39410745 PMCID: PMC11849710 DOI: 10.1002/jso.27857] [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: 05/18/2024] [Revised: 07/27/2024] [Accepted: 08/18/2024] [Indexed: 02/25/2025]
Abstract
BACKGROUND Gastric cancer disproportionately impacts populations in resource-limited settings. Within a safety-net network, we assessed the utility of computed tomography (CT) as a single staging modality. METHODS We utilized a clinical database of gastric cancer patients treated within the Los Angeles County safety-net hospital system from 2016 to 2023 in conjunction with retrospective imaging review by certified radiologists. We assessed agreement between clinical and pathological staging for patients who underwent curative gastrectomy using the Kappa coefficient. RESULTS Of 107 patients with available CT imaging, 43.9% (n = 47) were staged with CT as a single modality. Most tumors displayed infiltrating (75%) or diffuse (28%) morphology, 41% displayed adequate gastric distention and regional lymphadenopathy was common (68%). Twenty-nine patients underwent curative gastrectomy. Overall agreement was minimal (κ = 0.29, 95% CI [0.071-0.51], p = 0.022), weak for T3/T4 tumors (κ = 0.50, 95% CI [0.17-0.82], p < 0.01), and weak for Hispanic/Latino patients (κ = 0.47, 95% CI [0.19-0.76], p < 0.01). CONCLUSIONS There was minimal agreement between clinical and pathologic staging when assessing clinical stage by CT imaging alone, suggesting that CT is not adequate as a single modality staging tool. While every effort should be made to obtain multimodal staging, larger studies are warranted to improve CT imaging protocols for staging in resource-limited settings.
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Affiliation(s)
- Kyle D. Klingbeil
- Department of Surgery, Division of Surgical Oncology, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
- Jonsson Comprehensive Cancer CenterUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Isabel K. Eng
- David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Priyanka Dube
- Department of RadiologyUCLA‐Olive View Medical CenterSylmarCaliforniaUSA
| | - Dustin L. Dillon
- David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Kirollos Bechay
- David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | | | - Roshan Bastani
- UCLA Fielding School of Public HealthLos AngelesCaliforniaUSA
| | - Karoly Viragh
- Department of RadiologyUCLA‐Olive View Medical CenterSylmarCaliforniaUSA
| | - Mariam R. Thomas
- Department of RadiologyUCLA‐Olive View Medical CenterSylmarCaliforniaUSA
| | - Brian E. Kadera
- Department of Surgery, Division of Surgical Oncology, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
- Jonsson Comprehensive Cancer CenterUniversity of CaliforniaLos AngelesCaliforniaUSA
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Song R, Chen W, Zhang J, Zhang J, Du Y, Ren J, Shi L, Cui Y, Yang X. Multiparametric MRI-based Radiomics Analysis for Prediction of Lymph Node Metastasis and Survival Outcome in Gastric Cancer: A Dual-center Study. Acad Radiol 2024; 31:4900-4911. [PMID: 38849259 DOI: 10.1016/j.acra.2024.05.032] [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: 03/24/2024] [Revised: 05/14/2024] [Accepted: 05/18/2024] [Indexed: 06/09/2024]
Abstract
RATIONALE AND OBJECTIVES Gastric cancer (GC) is highly heterogeneous, and accurate preoperative assessment of lymph node status remains challenging. We aimed to develop a multiparametric MRI-based model for predicting lymph node metastasis (LNM) in GC and to explore its prognostic implications. MATERIALS AND METHODS In this dual-center retrospective study, 479 GC patients undergoing preoperative multiparametric MRI before radical gastrectomy were enrolled. 1595 imaging features were extracted from T2-weighted imaging, apparent diffusion coefficient maps, and contrast-enhanced T1-weighted imaging (cT1WI), respectively. Feature selection steps, including the Boruta and Simulated Annealing algorithms, were conducted to identify key features. Different radiomics models (RMs) based on the single- and multiple-sequence were constructed. The performance of various RMs in predicting LNM was assessed in terms of discrimination, calibration, and clinical usefulness. Additionally, Kaplan-Meier survival curves were employed to estimate differences in disease-free survival (DFS) and overall survival (OS). RESULTS The multi-sequence radiomics model (MRM) achieved area under the curves (AUCs) of 0.774 [95 % confidence interval (CI), 0.703-0.845], 0.721 (95 % CI, 0.593-0.850), and 0.720 (95 % CI, 0.639-0.801) in the training and two validation cohorts, respectively, outperforming the single-sequence RMs. Notably, the RM derived from cT1WI demonstrated superior performance compared to the other two single-sequence models. Furthermore, the proposed MRM exhibited a significant association with DFS and OS in GC patients (both P < 0.05). CONCLUSION The multiparametric MRI-based radiomics model, derived from primary lesions, demonstrated moderate performance in predicting LNM and survival outcomes in patients with GC, which could provide valuable insights for personalized treatment strategies.
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Affiliation(s)
- Ruirui Song
- Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China; Department of Radiology, Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/ Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China
| | - Wujie Chen
- Department of Radiology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Junjie Zhang
- Department of Radiology, Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/ Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China
| | - Jianxin Zhang
- Department of Radiology, Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/ Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China
| | - Yan Du
- Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China
| | | | - Lei Shi
- Department of Radiology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Yanfen Cui
- Department of Radiology, Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/ Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China
| | - Xiaotang Yang
- Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China; Department of Radiology, Shanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/ Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China.
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Zhang D, Hu RH, Cui XM, Jiang XH, Zhang S. Lipid levels and insulin resistance markers in gastric cancer patients: diagnostic and prognostic significance. BMC Gastroenterol 2024; 24:373. [PMID: 39434031 PMCID: PMC11495014 DOI: 10.1186/s12876-024-03463-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Accepted: 10/14/2024] [Indexed: 10/23/2024] Open
Abstract
Gastric cancer (GC) is a highly heterogeneous and aggressive malignant tumor that seriously affects the life safety of people all over the world. Its early manifestations are subtle. The present study aimed to investigate the clinical significance of serum lipid profiles, insulin resistance markers including the triglyceride-glucose (TyG) index and the atherosclerotic index (AI), in GC patients. A retrospective analysis encompassed 215 GC patients and 827 healthy individuals. The study results show that the total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein levels, and the TyG index of GC patients were significantly lower than those of the control group before and after propensity score matching analysis. In the GC group, the levels of CEA, CA199, CA125, and CA724 tumor markers were higher than those in the healthy control group. Patients in advanced stages exhibited lower serum levels of serum lipids and TyG index compared to those in early stages. ROC analysis revealed that the TyG index, CA125, and CA199 combination yielded the highest positive prediction rate for GC at 98.6%. TyG index is significantly associated with the risk of adverse reactions after chemotherapy (OR = 1.104, 95% CI 1.028-1.186, P < 0.01). Multiple tumor markers and the TyG index combined detection showed correlations with five adverse reactions caused by chemotherapy (r < 0.6, P < 0.05). Preoperative lipid profiles in the serum show a strong correlation with patients diagnosed with GC. Evaluating a combination of various serum lipids and cancer markers significantly improves diagnostic precision for GC and the ability to predict chemotherapy side effects.
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Affiliation(s)
- Di Zhang
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China
| | - Ren-Hao Hu
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China
| | - Xi-Mao Cui
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China
| | - Xiao-Hua Jiang
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China.
| | - Shun Zhang
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China.
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Liu QM, Chen Y, Fan WJ, Wu XH, Zhang ZW, Lu BL, Ma YR, Liu YY, Wu YZ, Yu SP, Wen ZQ. Value of orthogonal axial MR images in preoperative T staging of gastric cancer. Abdom Radiol (NY) 2024; 49:3337-3353. [PMID: 38755454 DOI: 10.1007/s00261-024-04322-8] [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: 02/26/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 05/18/2024]
Abstract
PURPOSE To assess the value of orthogonal axial images (OAI) of MRI in gastric cancer T staging. METHODS This retrospective study enrolled 133 patients (median age, 63 [range, 24-85] years) with gastric adenocarcinoma who underwent both CT and MRI followed by surgery. MRI lacking or incorporating OAI and CT images were evaluated, respectively. Diagnostic performance (accuracy, sensitivity, and specificity) for each T stage, overall diagnostic accuracy and rates of over- and understaging were quantified employing pathological T stage as a reference standard. The McNemar's test was performed to compare the overall accuracy. RESULTS Among patients with pT1-pT4 disease, MRI with OAI (accuracy: 88.7-94.7%, sensitivity: 66.7-93.0%, specificity: 91.5-100.0%) exhibited superior diagnostic performance compared to MRI without OAI (accuracy: 81.2-88.7%, sensitivity: 46.2-83.1%, specificity: 85.5-99.1%) and CT (accuracy: 88.0-92.5%, sensitivity: 53.3-90.1%, specificity: 88.7-98.1%). The overall accuracy of MRI with OAI was significantly higher (83.5%) than that of MRI without OAI (67.7%) (p < .001). However, there was no significant difference in the overall accuracy of MRI with OAI and CT (78.9%) (p = .35). The over- and understaging rates of MRI with OAI (12.0, 4.5%) were lower than those of MRI without OAI (21.8, 10.5%) and CT (12.8, 8.3%). CONCLUSION OAI play a pivotal role in the T staging of gastric cancer. MRI incorporating OAI demonstrated commendable performance for gastric cancer T-staging, with a slight tendency toward its superiority over CT.
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Affiliation(s)
- Quan-Meng Liu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Wen-Jie Fan
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518017, China
| | - Xue-Han Wu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518017, China
| | - Zhi-Wen Zhang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Bao-Lan Lu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yu-Ru Ma
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yi-Yan Liu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yun-Zhu Wu
- MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, 210031, China
| | - Shen-Ping Yu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
| | - Zi-Qiang Wen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
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Pang N, Yang W, Yang G, Yang C, Tong K, Yu R, Jiang F. The utilization of blood serum ATR-FTIR spectroscopy for the identification of gastric cancer. Discov Oncol 2024; 15:350. [PMID: 39143357 PMCID: PMC11324634 DOI: 10.1007/s12672-024-01231-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 08/12/2024] [Indexed: 08/16/2024] Open
Abstract
Gastric cancer represents a significant public health challenge, necessitating advancements in early diagnostic methodologies. This investigation employed attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy to conduct a multivariate analysis of human serum. The study encompassed the examination of blood samples from 96 individuals diagnosed with gastric cancer and 96 healthy volunteers. Principal component analysis (PCA) was utilized to interpret the infrared spectral data of the serum samples. Specific spectral bands exhibiting intensity variations between the two groups were identified. The infrared spectral ranges of 3500 ~ 3000 cm⁻1, 1700 ~ 1600 cm⁻1, and 1090 ~ 1070 cm⁻1 demonstrated significant diagnostic value for gastric cancer, likely attributable to differences in protein conformation and nucleic acids. By employing machine learning algorithms to differentiate between gastric cancer patients (n = 96) and healthy controls (n = 96), we achieved a sensitivity of up to 89.7% and a specificity of 87.2%. Receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.901. These findings underscore the potential of our serum-based ATR-FTIR spectroscopy examination method as a straightforward, minimally invasive, and reliable diagnostic test for the detection of gastric cancer.
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Affiliation(s)
- Nan Pang
- Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China
| | - Wanli Yang
- Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China
| | - Guizhe Yang
- Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China
| | - Chao Yang
- Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China
| | - Kuiyuan Tong
- Faculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, Jiangsu, China
| | - Ruihua Yu
- Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China
| | - Feng Jiang
- Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China.
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Li Q, Xu WY, Sun NN, Feng QX, Hou YJ, Sang ZT, Zhu ZN, Hsu YC, Nickel D, Xu H, Zhang YD, Liu XS. Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer. Abdom Radiol (NY) 2024; 49:2574-2584. [PMID: 38662208 DOI: 10.1007/s00261-024-04323-7] [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: 02/29/2024] [Revised: 03/29/2024] [Accepted: 03/29/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE The purpose of our study is to investigate image quality, efficiency, and diagnostic performance of a deep learning-accelerated single-shot breath-hold (DLSB) against BLADE for T2-weighted MR imaging (T2WI) for gastric cancer (GC). METHODS 112 patients with GCs undergoing gastric MRI were prospectively enrolled between Aug 2022 and Dec 2022. Axial DLSB-T2WI and BLADE-T2WI of stomach were scanned with same spatial resolution. Three radiologists independently evaluated the image qualities using a 5-scale Likert scales (IQS) in terms of lesion delineation, gastric wall boundary conspicuity, and overall image quality. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated in measurable lesions. T staging was conducted based on the results of both sequences for GC patients with gastrectomy. Pairwise comparisons between DLSB-T2WI and BLADE-T2WI were performed using the Wilcoxon signed-rank test, paired t-test, and chi-squared test. Kendall's W, Fleiss' Kappa, and intraclass correlation coefficient values were used to determine inter-reader reliability. RESULTS Against BLADE, DLSB reduced total acquisition time of T2WI from 495 min (mean 4:42 per patient) to 33.6 min (18 s per patient), with better overall image quality that produced 9.43-fold, 8.00-fold, and 18.31-fold IQS upgrading against BALDE, respectively, in three readers. In 69 measurable lesions, DLSB-T2WI had higher mean SNR and higher CNR than BLADE-T2WI. Among 71 patients with gastrectomy, DLSB-T2WI resulted in comparable accuracy to BLADE-T2WI in staging GCs (P > 0.05). CONCLUSIONS DLSB-T2WI demonstrated shorter acquisition time, better image quality, and comparable staging accuracy, which could be an alternative to BLADE-T2WI for gastric cancer imaging.
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Affiliation(s)
- Qiong Li
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wei-Yue Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Na-Na Sun
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiu-Xia Feng
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ya-Jun Hou
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zi-Tong Sang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhen-Ning Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi-Cheng Hsu
- MR Collaboration, Siemens Healthineers Ltd, Shanghai, China
| | - Dominik Nickel
- MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Hao Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yu-Dong Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xi-Sheng Liu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Li Q, Xu WY, Sun NN, Feng QX, Zhu ZN, Hou YJ, Sang ZT, Li FY, Li BW, Xu H, Liu XS, Zhang YD. MRI versus Dual-Energy CT in Local-Regional Staging of Gastric Cancer. Radiology 2024; 312:e232387. [PMID: 39012251 DOI: 10.1148/radiol.232387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Background Preoperative local-regional tumor staging of gastric cancer (GC) is critical for appropriate treatment planning. The comparative accuracy of multiparametric MRI (mpMRI) versus dual-energy CT (DECT) for staging of GC is not known. Purpose To compare the diagnostic accuracy of personalized mpMRI with that of DECT for local-regional T and N staging in patients with GC receiving curative surgical intervention. Materials and Methods Patients with GC who underwent gastric mpMRI and DECT before gastrectomy with lymphadenectomy were eligible for this single-center prospective noninferiority study between November 2021 and September 2022. mpMRI comprised T2-weighted imaging, multiorientational zoomed diffusion-weighted imaging, and extradimensional volumetric interpolated breath-hold examination dynamic contrast-enhanced imaging. Dual-phase DECT images were reconstructed at 40 keV and standard 120 kVp-like images. Using gastrectomy specimens as the reference standard, the diagnostic accuracy of mpMRI and DECT for T and N staging was compared by six radiologists in a pairwise blinded manner. Interreader agreement was assessed using the weighted κ and Kendall W statistics. The McNemar test was used for head-to-head accuracy comparisons between DECT and mpMRI. Results This study included 202 participants (mean age, 62 years ± 11 [SD]; 145 male). The interreader agreement of the six readers for T and N staging of GC was excellent for both mpMRI (κ = 0.89 and 0.85, respectively) and DECT (κ = 0.86 and 0.84, respectively). Regardless of reader experience, higher accuracy was achieved with mpMRI than with DECT for both T (61%-77% vs 50%-64%; all P < .05) and N (54%-68% vs 51%-58%; P = .497-.005) staging, specifically T1 (83% vs 65%) and T4a (78% vs 68%) tumors and N1 (41% vs 24%) and N3 (64% vs 45%) nodules (all P < .05). Conclusion Personalized mpMRI was superior in T staging and noninferior or superior in N staging compared with DECT for patients with GC. Clinical trial registration no. NCT05508126 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Méndez and Martín-Garre in this issue.
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Affiliation(s)
- Qiong Li
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Wei-Yue Xu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Na-Na Sun
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Qiu-Xia Feng
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Zhen-Ning Zhu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Ya-Jun Hou
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Zi-Tong Sang
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Feng-Yuan Li
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Bo-Wen Li
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Hao Xu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Xi-Sheng Liu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Yu-Dong Zhang
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
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Méndez RJ, Martín-Garre S. MRI for Local-Regional Staging of Gastric Cancer: A Promising Approach. Radiology 2024; 312:e241384. [PMID: 39012248 DOI: 10.1148/radiol.241384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Affiliation(s)
- Ramiro J Méndez
- From the Department of Radiology, Hospital Clínico San Carlos, C. Martín Lagos S/N, 28040 Madrid, Spain; and Department of Radiology, Rehabilitation, and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Susana Martín-Garre
- From the Department of Radiology, Hospital Clínico San Carlos, C. Martín Lagos S/N, 28040 Madrid, Spain; and Department of Radiology, Rehabilitation, and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
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Yin X, Ruan X, Zhu Y, Yin Y, Huang R, Liang C. Prediction of peritoneal free cancer cells in gastric cancer patients by golden-angle radial sampling dynamic contrast-enhanced magnetic resonance imaging. J Zhejiang Univ Sci B 2024; 25:617-627. [PMID: 39011681 PMCID: PMC11254683 DOI: 10.1631/jzus.b2300929] [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: 12/21/2023] [Accepted: 03/21/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVES Peritoneal free cancer cells can negatively impact disease progression and patient outcomes in gastric cancer. This study aimed to investigate the feasibility of using golden-angle radial sampling dynamic contrast-enhanced magnetic resonance imaging (GRASP DCE-MRI) to predict the presence of peritoneal free cancer cells in gastric cancer patients. METHODS All enrolled patients were consecutively divided into analysis and validation groups. Preoperative magnetic resonance imaging (MRI) scans and perfusion were performed in patients with gastric cancer undergoing surgery, and peritoneal lavage specimens were collected for examination. Based on the peritoneal lavage cytology (PLC) results, patients were divided into negative and positive lavage fluid groups. The data collected included clinical and MR information. A nomogram prediction model was constructed to predict the positive rate of peritoneal lavage fluid, and the validity of the model was verified based on data from the verification group. RESULTS There was no statistical difference between the proportion of PLC-positive cases predicted by GRASP DCE-MR and the actual PLC test. MR tumor stage, tumor thickness, and perfusion parameter Tofts-Ketty model volume transfer constant (Ktrans) were independent predictors of positive peritoneal lavage fluid. The nomogram model featured a concordance index (C-index) of 0.785 and 0.742 for the modeling and validation groups, respectively. CONCLUSIONS GRASP DCE-MR could effectively predict peritoneal free cancer cells in gastric cancer patients. The nomogram model constructed using these predictors may help clinicians to better predict the risk of peritoneal free cancer cells being present in gastric cancer patients.
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Affiliation(s)
- Xueqing Yin
- The First Affiliated Hospital of Ningbo University, Ningbo 315000, China.
| | - Xinzhong Ruan
- The First Affiliated Hospital of Ningbo University, Ningbo 315000, China
| | - Yongmeng Zhu
- The First Affiliated Hospital of Ningbo University, Ningbo 315000, China
| | - Yongfang Yin
- The First Affiliated Hospital of Ningbo University, Ningbo 315000, China
| | - Rui Huang
- The First Affiliated Hospital of Ningbo University, Ningbo 315000, China
| | - Chao Liang
- Ningbo Medical Center Lihuili Hospital, Ningbo 315000, China
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Ge HT, Chen JW, Wang LL, Zou TX, Zheng B, Liu YF, Xue YJ, Lin WW. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning. World J Gastroenterol 2024; 30:542-555. [PMID: 38463023 PMCID: PMC10921149 DOI: 10.3748/wjg.v30.i6.542] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/18/2023] [Accepted: 01/15/2024] [Indexed: 02/05/2024] Open
Abstract
BACKGROUND Lymphovascular invasion (LVI) and perineural invasion (PNI) are important prognostic factors for gastric cancer (GC) that indicate an increased risk of metastasis and poor outcomes. Accurate preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment decisions. However, prior models using conventional computed tomography (CT) images to predict LVI or PNI separately have had limited accuracy. Spectral CT provides quantitative enhancement parameters that may better capture tumor invasion. We hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC patients. AIM To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status accurately. METHODS This study used a retrospective dataset involving 257 GC patients (training cohort, n = 172; validation cohort, n = 85). First, several clinical indicators, including serum tumor markers, CT-TN stages and CT-detected extramural vein invasion (CT-EMVI), were extracted, as were quantitative spectral CT parameters from the delineated tumor regions. Next, a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters. A logistic regression (LR)-based nomogram model was subsequently constructed to predict LVI/PNI status, and its performance was evaluated using the area under the receiver operating characteristic curve (AUC). RESULTS In both the training and validation cohorts, CT T3-4 stage, CT-N positive status, and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant (P < 0.05). LR analysis of the training group showed preoperative CT-T stage, CT-EMVI, single-energy CT values of 70 keV of venous phase (VP-70 keV), and the ratio of standardized iodine concentration of equilibrium phase (EP-NIC) were independent influencing factors. The AUCs of VP-70 keV and EP-NIC were 0.888 and 0.824, respectively, which were slightly greater than those of CT-T and CT-EMVI (AUC = 0.793, 0.762). The nomogram combining CT-T stage, CT-EMVI, VP-70 keV and EP-NIC yielded AUCs of 0.918 (0.866-0.954) and 0.874 (0.784-0.936) in the training and validation cohorts, which are significantly higher than using each of single independent factors (P < 0.05). CONCLUSION The study found that using portal venous and EP spectral CT parameters allows effective preoperative detection of LVI/PNI in GC, with accuracy boosted by integrating clinical markers.
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Affiliation(s)
- Hui-Ting Ge
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
- Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Fujian Medical University, Fuzhou 350001, Fujian Province, China
- Digestive, Hematological and Breast Malignancies, Clinical Research Center for Radiology and Radiotherapy of Fujian Province, Fuzhou 350001, Fujian Province, China
| | - Jian-Wu Chen
- Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Fujian Medical University, Fuzhou 350001, Fujian Province, China
- Digestive, Hematological and Breast Malignancies, Clinical Research Center for Radiology and Radiotherapy of Fujian Province, Fuzhou 350001, Fujian Province, China
- Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
| | - Li-Li Wang
- Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Fujian Medical University, Fuzhou 350001, Fujian Province, China
- Digestive, Hematological and Breast Malignancies, Clinical Research Center for Radiology and Radiotherapy of Fujian Province, Fuzhou 350001, Fujian Province, China
- Department of Diagnostic Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
| | - Tian-Xiu Zou
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
| | - Bin Zheng
- School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, OK 73019, United States
| | - Yuan-Fen Liu
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
| | - Yun-Jing Xue
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
| | - Wei-Wen Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
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Wang XY, Yao DF, Ren G. Progress in research of tumor biomarkers and molecular imaging probes for gastric cancer. Shijie Huaren Xiaohua Zazhi 2024; 32:1-7. [DOI: 10.11569/wcjd.v32.i1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/10/2023] [Accepted: 01/11/2024] [Indexed: 01/26/2024] Open
Abstract
Gastric cancer is a malignant tumor still associated with high morbidity and mortality worldwide. Its onset is relatively insidious, and when detected, it is already at an advanced stage, lacks effective individualized treatments, and has a poor prognosis. If gastric cancer can be diagnosed at an early stage, the survival rate of patients can be greatly improved. However, traditional imaging modalities lack specificity and sensitivity. In recent years, molecular imaging technology is booming, which can non-invasively and dynamically monitor gastric cancer at the cellular and molecular levels, and provide more reference information for clinical selection of treatment options and assessment of efficacy and prognosis. This article reviews the biomarkers of gastric cancer and molecular probes in various imaging modalities.
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Affiliation(s)
- Xiao-Yu Wang
- Gang-Ren, Department of Radiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University of Medicine, Shanghai 200092, China
| | - De-Fan Yao
- Gang-Ren, Department of Radiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University of Medicine, Shanghai 200092, China
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Min L, Chen J, Yu M, Yang K, Liu D. Utilizing circulating tumour DNA as a prognostic predictor of gastric cancer: a meta-analysis. Biomarkers 2023; 28:427-436. [PMID: 37036017 DOI: 10.1080/1354750x.2023.2201664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/05/2023] [Indexed: 04/11/2023]
Abstract
Background: Circulating tumour DNA (ctDNA) has demonstrated robust diagnostic accuracy in several digestive cancers. However, the prognostic role of ctCDNA in gastric cancer (GC) is still controversial. This systematic review and meta-analysis aimed to evaluate the prognostic value of ctDNA in GC.Methods: PubMed, Web of Science and Cochrane databases were searched to identify studies reporting the use of ctDNA to predict GC outcome and all relevant studies published until November 2022 were enrolled for our analysis. Data were extracted by two authors independently and statistic analysis was conducted by R program with 'meta' and 'metafor' packages.Results: A total of 34 qualified articles with 5091 subjects were incorporated into our meta-analysis. The corresponding Hazard ratio (HR) of overall survival (OS), disease-free survival (DFS) and progression-free survival (PFS) were 2.74 (95% CI:2.24-3.35), 3.13 (95% CI:2.08-4.72) and 3.04 (95% CI:2.46-3.76), respectively, in GC patients.Conclusion: Blood-based ctDNA assay would be a potential novel biomarker for GC evaluation and prediction.Simple Summary: This is the integrated meta-analysis on the association of circulating tumour DNA (ctDNA) and prognosis of gastric cancer (GC) with an increasing number of studies exploring the prognostic value of GC in the last few years, which depicted that the detection of ctDNA could be a promising predictor in GC patients.
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Affiliation(s)
- Liang Min
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Digestive Disease, Central South University, Changsha, China
| | - Jinghua Chen
- Department of Oncology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Meihong Yu
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Digestive Disease, Central South University, Changsha, China
| | - Ke Yang
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Deliang Liu
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China
- Research Center of Digestive Disease, Central South University, Changsha, China
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Deng J, Zhang W, Xu M, Zhou J. Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy. Abdom Radiol (NY) 2023; 48:3661-3676. [PMID: 37787962 DOI: 10.1007/s00261-023-04046-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 10/04/2023]
Abstract
Effective neoadjuvant chemotherapy (NAC) can improve the survival of patients with locally progressive gastric cancer, but chemotherapeutics do not always exhibit good efficacy in all patients. Therefore, accurate preoperative evaluation of the effect of neoadjuvant therapy and the appropriate selection of surgery time to minimize toxicity and complications while prolonging patient survival are key issues that need to be addressed. This paper reviews the role of three imaging methods, morphological, functional, radiomics, and artificial intelligence (AI)-based imaging, in evaluating NAC pathological reactions for gastric cancer. In addition, the advantages and disadvantages of each method and the future application prospects are discussed.
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Affiliation(s)
- Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China
| | - Wenjuan Zhang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China
| | - Min Xu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China.
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China.
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China.
- Gansu International Scientifific and Technological Cooperation Base of Medical Imaging Artifificial Intelligence, Lanzhou, 730030, China.
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Repetto O, Vettori R, Steffan A, Cannizzaro R, De Re V. Circulating Proteins as Diagnostic Markers in Gastric Cancer. Int J Mol Sci 2023; 24:16931. [PMID: 38069253 PMCID: PMC10706891 DOI: 10.3390/ijms242316931] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Gastric cancer (GC) is a highly malignant disease affecting humans worldwide and has a poor prognosis. Most GC cases are detected at advanced stages due to the cancer lacking early detectable symptoms. Therefore, there is great interest in improving early diagnosis by implementing targeted prevention strategies. Markers are necessary for early detection and to guide clinicians to the best personalized treatment. The current semi-invasive endoscopic methods to detect GC are invasive, costly, and time-consuming. Recent advances in proteomics technologies have enabled the screening of many samples and the detection of novel biomarkers and disease-related signature signaling networks. These biomarkers include circulating proteins from different fluids (e.g., plasma, serum, urine, and saliva) and extracellular vesicles. We review relevant published studies on circulating protein biomarkers in GC and detail their application as potential biomarkers for GC diagnosis. Identifying highly sensitive and highly specific diagnostic markers for GC may improve patient survival rates and contribute to advancing precision/personalized medicine.
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Affiliation(s)
- Ombretta Repetto
- Facility of Bio-Proteomics, Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), National Cancer Institute, IRCCS, 33081 Aviano, Italy
| | - Roberto Vettori
- Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), National Cancer Institute, IRCCS, 33081 Aviano, Italy; (R.V.); (A.S.)
| | - Agostino Steffan
- Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), National Cancer Institute, IRCCS, 33081 Aviano, Italy; (R.V.); (A.S.)
| | - Renato Cannizzaro
- Oncological Gastroenterology, Centro di Riferimento Oncologico di Aviano (CRO), National Cancer Institute, IRCCS, 33081 Aviano, Italy;
- Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy
| | - Valli De Re
- Facility of Bio-Proteomics, Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), National Cancer Institute, IRCCS, 33081 Aviano, Italy
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19
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Ho SYA, Tay KV. Systematic review of diagnostic tools for peritoneal metastasis in gastric cancer-staging laparoscopy and its alternatives. World J Gastrointest Surg 2023; 15:2280-2293. [PMID: 37969710 PMCID: PMC10642463 DOI: 10.4240/wjgs.v15.i10.2280] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/16/2023] [Accepted: 06/12/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Gastric cancer is one of the leading causes of cancer burden and mortality, often resulting in peritoneal metastasis in advanced stages with negative survival outcomes. Staging laparoscopy has become standard practice for suspected cases before a definitive gastrectomy or palliation. This systematic review aims to compare the efficacy of other diagnostic modalities instead of staging laparoscopy as the alternatives are able to reduce cost and invasive staging procedures. Recently, a radiomic model based on computed tomography and positron emission tomography (PET) has also emerged as another method to predict peritoneal metastasis. AIM To determine if the efficacy of computed tomography, magnetic resonance imaging and PET is comparable with staging laparoscopy. METHODS Articles comparing computed tomography, PET, magnetic resonance imaging, and radiomic models based on computed tomography and PET to staging laparoscopies were filtered out from the Cochrane Library, EMBASE, PubMed, Web of Science, and Reference Citations Analysis (https://www.referencecitationanalysis.com/). In the search for studies comparing computed tomography (CT) to staging laparoscopy, five retrospective studies and three prospective studies were found. Similarly, five retrospective studies and two prospective studies were also included for papers comparing CT to PET scans. Only one retrospective study and one prospective study were found to be suitable for papers comparing CT to magnetic resonance imaging scans. RESULTS Staging laparoscopy outperformed computed tomography in all measured aspects, namely sensitivity, specificity, positive predictive value and negative predictive value. Magnetic resonance imaging and PET produced mixed results, with the former shown to be only marginally better than computed tomography. CT performed slightly better than PET in most measured domains, except in specificity and true negative rates. We speculate that this may be due to the limited F-fluorodeoxyglucose uptake in small peritoneal metastases and in linitis plastica. Radiomic modelling, in its current state, shows promise as an alternative for predicting peritoneal metastases. With further research, deep learning and radiomic modelling can be refined and potentially applied as a preoperative diagnostic tool to reduce the need for invasive staging laparoscopy. CONCLUSION Staging laparoscopy was superior in all measured aspects. However, associated risks and costs must be considered. Refinements in radiomic modelling are necessary to establish it as a reliable screening technique.
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Affiliation(s)
| | - Kon Voi Tay
- Upper GI and Bariatric Division, General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Upper GI and Bariatric Division, General Surgery, Woodlands Health, Singapore 768024, Singapore
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20
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Assumpção PPD, Silva JMCD, Calcagno DQ, Barra WF, Ishak G, Kassab P. OLIGOMETASTASIS IN GASTRIC CANCER TREATMENT: IS THERE A PLACE FOR THE SURGEON? ARQUIVOS BRASILEIROS DE CIRURGIA DIGESTIVA : ABCD = BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY 2023; 36:e1752. [PMID: 37729281 PMCID: PMC10510098 DOI: 10.1590/0102-672020230034e1752] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/01/2023] [Indexed: 09/22/2023]
Abstract
Metastatic gastric cancer traditionally hinders surgical treatment options, confining them to palliative procedures. The presence of metastases in these tumors is classified as M1, irrespective of their characteristics, quantity, or location. However, oligometastatic disease emerged as an intermediate state between localized and widely disseminated cancer. It exhibits diverse patterns based on metastatic disease extent, type, and location. Adequately addressing this distinctive metastatic state necessitates tailored strategies that surpass the realm of palliative care. Differentprimary tumor types present discernible scenarios of oligometastatic disease, including preferred sites of occurrence and chronological progression. Due to the novelty of this theme and the heterogeneity of the disease, uncertainties still exist, and the ability to provide confident guidelines is challenging. Currently, there are no effective predictors to determine the response and provide clear indications for surgical interventions and systemic treatments in oligometastatic disease. Treatment decisions are commonly based on apparent disease control by systemic therapies, with a short observation period and imaging assessments. Nonetheless, the inherent risk of misinterpretation remains a constant concern. The emergence of novel technologies and therapeutic modalities, such as immunotherapy, cellular therapy, and adoptive therapies, holds the potential to reshape the landscape of surgical treatment for the oligometastatic disease in gastric cancer, expanding the surgeon's role in this multidisciplinary approach. Prospective tools for patient selection in oligometastatic gastric cancer are being explored. Using non-invasive, cost-effective, widely available imaging techniques that provide real-time information may revolutionize medical practice, ensuring precision medicine accessibility, even in resource-constrained small healthcare facilities. Incorporating molecular classifications, liquid biopsies, and radiomic analysis in a complementary protocol will augment patient selection precision for surgical intervention in oligometastasis. Hopefully, these advancements will render surgeries unnecessary in many cases by providing highly effective alternative treatments.
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Affiliation(s)
- Paulo Pimentel de Assumpção
- Universidade Federal do Pará, Oncology Research Center - Belém (PA), Brazil
- Universidade Federal do Pará, João de Barros Barreto University Hospital, General Surgery and Digestive Tract Service - Belém (PA), Brazil
| | | | | | | | - Geraldo Ishak
- Universidade Federal do Pará, Oncology Research Center - Belém (PA), Brazil
- Universidade Federal do Pará, João de Barros Barreto University Hospital, General Surgery and Digestive Tract Service - Belém (PA), Brazil
| | - Paulo Kassab
- Faculdade de Ciências Médicas da Santa Casa de São Paulo, Department of Surgery - São Paulo (SP), Brazil
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21
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Li J, Zhang HL, Yin HK, Zhang HK, Wang Y, Xu SN, Ma F, Gao JB, Li HL, Qu JR. Comparison of MRI and CT-Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer. J Magn Reson Imaging 2023; 58:907-923. [PMID: 36527425 DOI: 10.1002/jmri.28570] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/05/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Current radiomics for treatment response assessment in gastric cancer (GC) have focused solely on Computed tomography (CT). The importance of multi-parametric magnetic resonance imaging (mp-MRI) radiomics in GC is less clear. PURPOSE To compare and combine CT and mp-MRI radiomics for pretreatment identification of pathological response to neoadjuvant chemotherapy in GC. STUDY TYPE Retrospective. POPULATION Two hundred twenty-five GC patients were recruited and split into training (157) and validation dataset (68) in the ratio of 7:3 randomly. FIELD/SEQUENCE T2-weighted fast spin echo (fat suppressed T2-weighted imaging [fs-T2WI]), diffusion weighted echo planar imaging (DWI), and fast gradient echo (dynamic contrast enhanced [DCE]) sequences at 3.0T. ASSESSMENT Apparent diffusion coefficient (ADC) maps were generated from DWI. CT, fs-T2WI, ADC, DCE, and mp-MRI Radiomics score (Radscores) were compared between responders and non-responders. A multimodal nomogram combining CT and mp-MRI Radscores was developed. Patients were followed up for 3-65 months (median 19) after surgery, the overall survival (OS) and progression free survival (PFS) were calculated. STATISTICAL TESTS A logistic regression classifier was applied to construct the five models. Each model's performance was evaluated using a receiver operating characteristic curve. The association of the nomogram with OS/PFS was evaluated by Kaplan-Meier survival analysis and C-index. A P value <0.05 was considered statistically significant. RESULTS CT Radscore, mp-MRI Radscore and nomogram were significantly associated with tumor regression grading. The nomogram achieved the highest area under the curves (AUCs) of 0.893 (0.834-0.937) and 0.871 (0.767-0.940) in training and validation datasets, respectively. The C-index was 0.589 for OS and 0.601 for PFS. The AUCs of the mp-MRI model were not significantly different to that of the CT model in training (0.831 vs. 0.770, P = 0.267) and validation dataset (0.797 vs. 0.746, P = 0.137). DATA CONCLUSIONS mp-MRI radiomics provides similar results to CT radiomics for early identification of pathologic response to neoadjuvant chemotherapy. The multimodal radiomics nomogram further improved the capability. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: 2.
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Affiliation(s)
- Jing Li
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Hui-Ling Zhang
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China
| | - Hong-Kun Yin
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China
| | - Hong-Kai Zhang
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Yi Wang
- Department of Pathology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Shu-Ning Xu
- Department of Digestive Oncology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Fei Ma
- Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Jian-Bo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hai-Liang Li
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Jin-Rong Qu
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
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22
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Schena CA, Laterza V, De Sio D, Quero G, Fiorillo C, Gunawardena G, Strippoli A, Tondolo V, de'Angelis N, Alfieri S, Rosa F. The Role of Staging Laparoscopy for Gastric Cancer Patients: Current Evidence and Future Perspectives. Cancers (Basel) 2023; 15:3425. [PMID: 37444535 DOI: 10.3390/cancers15133425] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/18/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
A significant proportion of patients diagnosed with gastric cancer is discovered with peritoneal metastases at laparotomy. Despite the continuous improvement in the performance of radiological imaging, the preoperative recognition of such an advanced disease is still challenging during the diagnostic work-up, since the sensitivity of CT scans to peritoneal carcinomatosis is not always adequate. Staging laparoscopy offers the chance to significantly increase the rate of promptly diagnosed peritoneal metastases, thus reducing the number of unnecessary laparotomies and modifying the initial treatment strategy of gastric cancer. The aim of this review was to provide a comprehensive summary of the current literature regarding the role of staging laparoscopy in the management of gastric cancer. Indications, techniques, accuracy, advantages, and limitations of staging laparoscopy and peritoneal cytology were discussed. Furthermore, a focus on current evidence regarding the application of artificial intelligence and image-guided surgery in staging laparoscopy was included in order to provide a picture of the future perspectives of this technique and its integration with modern tools in the preoperative management of gastric cancer.
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Affiliation(s)
- Carlo Alberto Schena
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Unit of Colorectal and Digestive Surgery, DIGEST Department, Beaujon University Hospital, AP-HP, University of Paris Cité, Clichy, 92110 Paris, France
| | - Vito Laterza
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Davide De Sio
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Giuseppe Quero
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Department of Digestive Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Claudio Fiorillo
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Gayani Gunawardena
- Department of Digestive Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Antonia Strippoli
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Vincenzo Tondolo
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Nicola de'Angelis
- Unit of Colorectal and Digestive Surgery, DIGEST Department, Beaujon University Hospital, AP-HP, University of Paris Cité, Clichy, 92110 Paris, France
| | - Sergio Alfieri
- Digestive Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Department of Digestive Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Fausto Rosa
- Department of Digestive Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Emergency and Trauma Surgery Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
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Tanaka O, Yagi N, Tawada M, Taniguchi T, Adachi K, Nakaya S, Makita C, Matsuo M. Hemostatic Radiotherapy for Gastric Cancer: MRI as an Alternative to Endoscopy for Post-Treatment Evaluation. J Gastrointest Cancer 2023; 54:554-563. [PMID: 35604537 DOI: 10.1007/s12029-022-00837-9] [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] [Accepted: 05/10/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Pretreatment diagnosis by diffusion-weighted magnetic resonance imaging (DW-MRI) is useful to determine the effect of chemotherapy for gastric cancer. Here, we investigated the relationship among DW-MRI, endoscopy, and tumor markers. PATIENTS Eight patients underwent hemostatic radiotherapy (RT) for gastric cancer in this prospective study from 2019 to 2021. The patients completed MRI, endoscopy, and blood tests before RT; MRI, endoscopy, and blood tests 1 month after RT; and MRI and blood tests 3 months after RT. Correlations between changes in apparent diffusion coefficient (ADC) derived from DW-MRI and the tumor marker carcinoembryonic antigen (CEA) were investigated. RESULTS Univariate analysis of overall survival showed that sex and chemotherapy treatment were statistically significant factors. The CEA values before and 1 month after RT decreased significantly. There was no statistical difference between the CEA value 1 and 3 months after RT. The ADC value before and 1 month after RT increased significantly but not between 1 and 3 months after RT. Comparing the ratio of ADC before RT to 1 (or 3) month(s) after RT with that of CEA before RT to 1 (or 3) month(s) after RT, we found an inverse relationship between the two ratios. CONCLUSIONS Therefore, changes in ADC and CEA are correlated. Additionally, 3 months after RT, the decrease in ADC appeared earlier than the decrease in CEA. ADC may indicate a biological change earlier than CEA, and the ratios of ADC and CEA may be important factors. These aspects warrant further confirmation in a larger sample population.
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Affiliation(s)
- Osamu Tanaka
- Department of Radiation Oncology, Asahi University Hospital, 3-23 Hashimoto-cho, Gifu City, Gifu, 500-8523, Japan.
| | - Nobuaki Yagi
- Department of Gastroenterology, Asahi University Hospital, 3-23 Hashimoto-cho, Gifu City, Gifu, 500-8523, Japan
| | - Masahiro Tawada
- Department of Surgery, Asahi University Hospital, 3-23 Hashimoto-cho, Gifu City, Gifu, 500-8523, Japan
| | - Takuya Taniguchi
- Department of Radiation Oncology, Asahi University Hospital, 3-23 Hashimoto-cho, Gifu City, Gifu, 500-8523, Japan
| | - Kousei Adachi
- Department of Radiation Oncology, Asahi University Hospital, 3-23 Hashimoto-cho, Gifu City, Gifu, 500-8523, Japan
| | - Shuto Nakaya
- Department of Radiation Oncology, Asahi University Hospital, 3-23 Hashimoto-cho, Gifu City, Gifu, 500-8523, Japan
| | - Chiyoko Makita
- Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu City, Gifu, 501-1194, Japan
| | - Masayuki Matsuo
- Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu City, Gifu, 501-1194, Japan
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24
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Li J, Yin H, Wang Y, Zhang H, Ma F, Li H, Qu J. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer. Eur Radiol 2023; 33:2746-2756. [PMID: 36512039 DOI: 10.1007/s00330-022-09219-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/01/2022] [Accepted: 10/03/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVES To build and validate a multi-parametric MRI (mpMRI)-based radiomics nomogram for early prediction of treatment response to neoadjuvant chemotherapy (NAC) in locally advanced gastric cancer. METHODS Baseline MRI were retrospectively enrolled from 141 patients with gastric adenocarcinoma who received NAC followed by radical gastrectomy. According to pathologic response of tumor regression grading (TRG), patients were labeled as responders (TRG = 0 + 1) and non-responders (TRG = 2 + 3) and further divided into a training (n = 85) and validation dataset (n = 56). Radiomics score (Radscore) were built from T2WI, ADC, and venous phase of dynamic-contrasted-enhanced MR imaging. Clinical information, laboratory indicators, MRI parameters, and follow-up data were also recorded. According to multivariable regression analysis, an mpMRI radiomics nomogram was built and its predictive ability was evaluated by ROC analysis. Decision curve analysis was applied to evaluate the clinical usefulness. Kaplan-Meier survival curves based on the nomogram were used to estimate the progression-free survival (PFS) and overall survival (OS) in the validation dataset. RESULTS Both single sequence-based Radscores and mpMRI radiomics nomogram were associated with pathologic response (p < 0.001). The nomogram achieved the highest diagnostic ability with area under ROC curve of 0.844 (95% CI, 0.749-0.914) and 0.820 (95% CI, 0.695-0.910) in the training and validation datasets. The hazard ratio of the nomogram for PFS and OS prediction was 2.597 (95% CI: 1.046-6.451, log-rank p = 0.023) and 2.570 (95% CI: 1.166-5.666, log-rank p = 0.011). CONCLUSIONS The mpMRI-based radiomics nomogram showed preferable performance in predicting pathologic response to NAC in LAGC. KEY POINTS • This study investigated the value of multi-parametric MRI-based radiomics in predicting pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer. • The nomogram incorporating T2WI Radscore, ADC Radscore, and DCE Radscore as well as Borrmann classification outperformed the single sequence-based Radscore. • The nomogram also exhibited a promising prognostic ability for patient survival and enriched radiomics studies in gastric cancer.
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Affiliation(s)
- Jing Li
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), No. 127, Dongming Road, Zhengzhou, 450008, Henan, China
| | - Hongkun Yin
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China
| | - Yi Wang
- Department of Pathology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Hongkai Zhang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), No. 127, Dongming Road, Zhengzhou, 450008, Henan, China
| | - Fei Ma
- Department of Gastrointestinal surgery, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan, China
| | - Hailiang Li
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), No. 127, Dongming Road, Zhengzhou, 450008, Henan, China.
| | - Jinrong Qu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), No. 127, Dongming Road, Zhengzhou, 450008, Henan, China.
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25
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Construction of a nomogram model for predicting peritoneal metastasis in gastric cancer: focused on cardiophrenic angle lymph node features. Abdom Radiol (NY) 2023; 48:1227-1236. [PMID: 36807997 PMCID: PMC10115726 DOI: 10.1007/s00261-023-03848-7] [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: 11/07/2022] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/20/2023]
Abstract
BACKGROUND A different treatment was used when peritoneal metastases (PM) occurred in patients with gastric cancer (GC). Certain cancers' peritoneal metastasis could be predicted by the cardiophrenic angle lymph node (CALN). This study aimed to establish a predictive model for PM of gastric cancer based on the CALN. METHODS Our center retrospectively analyzed all GC patients between January 2017 and October 2019. Pre-surgery computed tomography (CT) scans were performed on all patients. The clinicopathological and CALN features were recorded. PM risk factors were identified via univariate and multivariate logistic regression analyses. The receiver operator characteristic (ROC) curves were generated using these CALN values. Using the calibration plot, the model fit was assessed. A decision curve analysis (DCA) was conducted to assess the clinical utility. RESULTS 126 of 483 (26.1%) patients were confirmed as having peritoneal metastasis. These relevant factors were associated with PM: age, sex, T stage, N stage, enlarged retroperitoneal lymph nodes (ERLN), CALN, the long diameter of the largest CALN (LD of LCALN), the short diameter of the largest CALN (SD of LCALN), and the number of CALNs (N of CALNs). The multivariate analysis illustrated that the LD of LCALN (OR = 2.752, p < 0.001) was PM's independent risk factor in GC patients. The area under the curve (AUC) of the model was 0.907 (95% CI 0.872-0.941), demonstrating good performance in the predictive value of PM. There is excellent calibration evident from the calibration plot, which is close to the diagonal. The DCA was presented for the nomogram. CONCLUSION CALN could predict gastric cancer peritoneal metastasis. The model in this study provided a powerful predictive tool for determining PM in GC patients and helping clinicians allocate treatment.
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Yang Y, Chen H, Ji M, Wu J, Chen X, Liu F, Rao S. A new radiomics approach combining the tumor and peri-tumor regions to predict lymph node metastasis and prognosis in gastric cancer. Gastroenterol Rep (Oxf) 2023; 7:goac080. [PMID: 36627981 PMCID: PMC9825201 DOI: 10.1093/gastro/goac080] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 11/25/2022] [Accepted: 12/02/2022] [Indexed: 01/09/2023] Open
Abstract
Objective The development of non-invasive methods for evaluating lymph node metastasis (LNM) preoperatively in gastric cancer (GC) is necessary. In this study, we developed a new radiomics model combining features from the tumor and peri-tumor regions for predicting LNM and prognoses. Methods This was a retrospective observational study. In this study, two cohorts of patients with GC treated in Zhongshan Hospital Fudan University (Shanghai, China) were included. In total, 193 patients were assigned to the internal training/validation cohort; another 98 patients were assigned to the independent testing cohort. The radiomics features were extracted from venous phase computerized tomography (CT) images. The radiomics model was constructed and the output was defined as the radiomics score (RS). The performance of the RS and CT-defined N status (ctN) for predicting LNM was compared using the area under the curve (AUC). The 5-year overall survival and progression-free survival were compared between different subgroups using Kaplan-Meier curves. Results In both cohorts, the RS was significantly higher in the LNM-positive group than that in the LNM-negative group (all P < 0.001). The radiomics model combining features from the tumor and peri-tumor regions achieved the highest AUC in predicting LNM (AUC, 0.779 and 0.724, respectively), which performed better than the radiomics model based only on the tumor region and ctN (AUC, 0.717, 0.622 and 0.710, 0.603, respectively). The differences in 5-year overall survival and progression-free survival between high-risk and low-risk groups were significant (both P < 0.001). Conclusions The radiomics model combining features from the tumor and peri-tumor regions could effectively predict the LNM in GC. Risk stratification based on the RS was capable of distinguishing patients with poor prognoses.
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Affiliation(s)
- Yutao Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Hao Chen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Min Ji
- Research Collaboration, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, P. R. China
| | - Jianzhang Wu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Xiaoshan Chen
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Fenglin Liu
- Corresponding authors. Shengxiang Rao, Shanghai Institute of Medical Imaging, Shanghai 200032, P. R. China. Tel: +86-13764181846; ; Fenglin Liu, Department of General Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, P. R. China. Tel: +86-13918765733;
| | - Shengxiang Rao
- Corresponding authors. Shengxiang Rao, Shanghai Institute of Medical Imaging, Shanghai 200032, P. R. China. Tel: +86-13764181846; ; Fenglin Liu, Department of General Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, P. R. China. Tel: +86-13918765733;
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Gastric adenocarcinoma: A review of the TNM classification system and ways of spreading. RADIOLOGIA 2023; 65:66-80. [PMID: 36842787 DOI: 10.1016/j.rxeng.2022.10.011] [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: 09/01/2022] [Accepted: 10/12/2022] [Indexed: 02/28/2023]
Abstract
Gastric cancer is the fifth most common cancer in the world. The most common histologic subtype is adenocarcinoma. Gastric adenocarcinomas are staged using the American Joint Committee on Cancer's 8th TNM classification. The perigastric ligaments, mesentery, omentum, and potential spaces between the parietal and visceral peritoneal linings play are important structures for staging. The spread of disease is influenced by the location of the tumor within the stomach, as well as by the anatomy related to the ligaments and lymph vessels. CT is the imaging modality of choice for the preoperative clinical staging of gastric cancer, and it is essential for planning treatment. To be able to do an adequate imaging workup, radiologists need to know the different pathways through which gastric cancer can spread: lymphatic, subperitoneal, direct invasion, transperitoneal, hematogenous, and extramural venous invasion.
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Harold KM, MacCuaig WM, Holter-Charkabarty J, Williams K, Hill K, Arreola AX, Sekhri M, Carter S, Gomez-Gutierrez J, Salem G, Mishra G, McNally LR. Advances in Imaging of Inflammation, Fibrosis, and Cancer in the Gastrointestinal Tract. Int J Mol Sci 2022; 23:16109. [PMID: 36555749 PMCID: PMC9781634 DOI: 10.3390/ijms232416109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Gastrointestinal disease is prevalent and broad, manifesting itself in a variety of ways, including inflammation, fibrosis, infection, and cancer. However, historically, diagnostic technologies have exhibited limitations, especially with regard to diagnostic uncertainty. Despite development of newly emerging technologies such as optoacoustic imaging, many recent advancements have focused on improving upon pre-existing modalities such as ultrasound, computed tomography, magnetic resonance imaging, and endoscopy. These advancements include utilization of machine learning models, biomarkers, new technological applications such as diffusion weighted imaging, and new techniques such as transrectal ultrasound. This review discusses assessment of disease processes using imaging strategies for the detection and monitoring of inflammation, fibrosis, and cancer in the context of gastrointestinal disease. Specifically, we include ulcerative colitis, Crohn's disease, diverticulitis, celiac disease, graft vs. host disease, intestinal fibrosis, colorectal stricture, gastric cancer, and colorectal cancer. We address some of the most recent and promising advancements for improvement of gastrointestinal imaging, including unique discussions of such advancements with regard to imaging of fibrosis and differentiation between similar disease processes.
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Affiliation(s)
- Kylene M. Harold
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | | | | | | | - Kaitlyn Hill
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Alex X. Arreola
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Malika Sekhri
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Steven Carter
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Jorge Gomez-Gutierrez
- Department of Child Health, School of Medicine, University of Missouri, Columbia, MO 65211, USA
| | - George Salem
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Girish Mishra
- Wake Forest Baptist Health, Winston-Salem, NC 27157, USA
| | - Lacey R. McNally
- Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
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Shi H, Li T, Liu Z, Zhao J, Qi F. Early detection of gastric cancer via high-resolution terahertz imaging system. Front Bioeng Biotechnol 2022; 10:1052069. [PMID: 36588946 PMCID: PMC9794757 DOI: 10.3389/fbioe.2022.1052069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Terahertz (THz) wave has demonstrated a good prospect in recent years, but the resolution is still one of the problems that restrict the application of THz technology in medical imaging. Paraffin-embedded samples are mostly used in THz medical imaging studies, which are thicker and significantly different from the current gold standard slice pathological examination in sample preparation. In addition, THz absorption in different layers of normal and cancerous tissues also remains to be further explored. In this study, we constructed a high-resolution THz imaging system to scan non-tumorous adjacent tissue slices and gastric cancer (GC) tissue slices. In this system, a THz quantum cascade laser emitted a pulsed 3 THz signal and the transmitted THz wave was received by a THz detector implemented in a 65 nm CMOS process. The slice thickness was only 20 μm, which was close to that of the medical pathology examination. We successfully found THz transmittance differences between different layers of normal gastric tissues based on THz images, and the resolution could reach 60 μm for the first time. The results indicated that submucosa had a lower THz transmittance than that of mucosa and muscular layer in non-tumorous adjacent tissue. However, in GC tissue, THz transmittance of mucosa and submucosa was similar, caused by the decreased transmittance of mucosa, where the cancer occurs. Therefore, we suppose that the similar terahertz transmittance between gastric mucosa and submucosa may indicate the appearance of cancerization. The images obtained from our THz imaging system were clearer than those observed with naked eyes, and can be directly compared with microscopic images. This is the first application of THz imaging technology to identify non-tumorous adjacent tissue and GC tissue based on the difference in THz wave absorption between different layers in the tissue. Our present work not only demonstrated the potential of THz imaging to promote early diagnosis of GC, but also suggested a new direction for the identification of normal and cancerous tissues by analyzing differences in THz transmittance between different layers of tissue.
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Affiliation(s)
- Han Shi
- Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Department of Surgical Oncology and General Surgery, the First Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang, China
| | - Tenghui Li
- Department of Surgical Oncology and General Surgery, the First Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang, China
| | - Zhaoyang Liu
- Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Key Laboratory of Terahertz Imaging and Sensing, Liaoning Province, Shenyang, China
| | - Junhua Zhao
- Department of Surgical Oncology and General Surgery, the First Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang, China
| | - Feng Qi
- Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Key Laboratory of Terahertz Imaging and Sensing, Liaoning Province, Shenyang, China
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30
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Adenocarcinoma gástrico: revisión del TNM y de las vías de diseminación. RADIOLOGIA 2022. [DOI: 10.1016/j.rx.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Jeon K, Kim SH, Yoo J, Kim SW. Added Value of the Sliding Sign on Right Down Decubitus CT for Determining Adjacent Organ Invasion in Patients with Advanced Gastric Cancer. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:1312-1326. [PMID: 36545416 PMCID: PMC9748461 DOI: 10.3348/jksr.2021.0166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/02/2021] [Accepted: 11/08/2021] [Indexed: 12/24/2022]
Abstract
Purpose To investigate the added value of right down decubitus (RDD) CT when determining adjacent organ invasion in cases of advanced gastric cancer (AGC). Materials and Methods A total of 728 patients with pathologically confirmed T4a (pT4a), surgically confirmed T4b (sT4b), or pathologically confirmed T4b (pT4b) AGCs who underwent dedicated stomach-protocol CT, including imaging of the left posterior oblique (LPO) and RDD positions, were included in this study. Two radiologists scored the T stage of AGCs using a 5-point scale on LPO CT with and without RDD CT at 2-week intervals and recorded the presence of "sliding sign" in the tumors and adjacent organs and compared its incidence of appearance. Results A total of 564 patients (77.4%) were diagnosed with pT4a, whereas 65 (8.9%) and 99 (13.6%) patients were diagnosed with pT4b and sT4b, respectively. When RDD CT was performed additionally, both reviewers deemed that the area under the curve (AUC) for differentiating T4b from T4a increased (p < 0.001). According to both reviewers, the AUC for differentiating T4b with pancreatic invasion from T4a increased in the subgroup analysis (p < 0.050). Interobserver agreement improved from fair to moderate (weighted kappa value, 0.296-0.444). Conclusion RDD CT provides additional value compared to LPO CT images alone for determining adjacent organ invasion in patients with AGC due to their increased AUC values and improved interobserver agreement.
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32
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Luo S, Ran Y, Liu L, Huang H, Tang X, Fan Y. Classification of gastric cancerous tissues by a residual network based on optical coherence tomography images. Lasers Med Sci 2022; 37:2727-2735. [PMID: 35344109 DOI: 10.1007/s10103-022-03546-8] [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: 10/10/2021] [Accepted: 03/10/2022] [Indexed: 11/26/2022]
Abstract
Optical coherence tomography (OCT) is a noninvasive, radiation-free, and high-resolution imaging technology. The intraoperative classification of normal and cancerous tissue is critical for surgeons to guide surgical operations. Accurate classification of gastric cancerous OCT images is beneficial to improve the effect of surgical treatment based on the deep learning method. The OCT system was used to collect images of cancerous tissues removed from patients. An intelligent classification method of gastric cancerous tissues based on the residual network is proposed in this study and optimized with the ResNet18 model. Four residual blocks are used to reset the model structure of ResNet18 and reduce the number of network layers to identify cancerous tissues. The model performance of different residual networks is evaluated by accuracy, precision, recall, specificity, F1 value, ROC curve, and model parameters. The classification accuracies of the proposed method and ResNet18 both reach 99.90%. Also, the model parameters of the proposed method are 44% of ResNet18, which occupies fewer system resources and is more efficient. In this study, the proposed deep learning method was used to automatically recognize OCT images of gastric cancerous tissue. This artificial intelligence method could help promote the clinical application of gastric cancerous tissue classification in the future.
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Affiliation(s)
- Site Luo
- Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University, Changsha, 410082, China
| | - Yuchen Ran
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Lifei Liu
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Huihui Huang
- Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University, Changsha, 410082, China
| | - Xiaoying Tang
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, 100081, China
| | - Yingwei Fan
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, 100081, China.
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Abdominal Computed Tomography Enhanced Image Features under an Automatic Segmentation Algorithm in Identification of Gastric Cancer and Gastric Lymphoma. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2259373. [PMID: 35928973 PMCID: PMC9345719 DOI: 10.1155/2022/2259373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/09/2022] [Accepted: 06/11/2022] [Indexed: 11/17/2022]
Abstract
To analyze the application value of CT-enhanced scanning based on artificial intelligence algorithm in the diagnosis of gastric cancer and gastric lymphoma, the CT images of 80 patients with Borrmann type IV gastric cancer or primary gastric lymphoma diagnosed by endoscopic pathology were retrospectively collected. Meanwhile, a lymph node recognition algorithm based on OTSU threshold segmentation was proposed for CT image processing. The results showed that the missed diagnosis rate of suspected lymph nodes and the missed lymph node detection rate of this algorithm were substantially lower than those of other algorithms (P < 0.05). The probability of gastric wall motility disappearance, perigastric fat infiltration, and type A enhancement pattern in the Borrmann type IV gastric cancer group was higher than that in the gastric lymphoma group, with remarkable differences (P < 0.05). There was no remarkable difference between the Borrmann type IV gastric cancer group and the gastric lymphoma group in the probability of swollen lymph nodes under the renal hilum (P > 0.05). In addition, 5the sensitivity (83.17%), specificity (95.52%), and accuracy (93.08%) of the combined detection of the three CT signs (stomach wall motility, perigastric fat infiltration, and enhancement mode) were substantially improved compared with those of a single sign (P < 0.05). To sum up, the lymph node recognition algorithm based on OTSU threshold segmentation had better performance in detecting gastric lymph nodes than traditional algorithms. The CT image characteristics of gastric wall motility, perigastric fat infiltration, and enhancement pattern based on artificial intelligence algorithms were effective indicators for distinguishing gastric cancer and gastric lymphoma.
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34
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Sharma A, Ravindra SG, Singh TP, Kumar R. Role of Positron Emission Tomography/Computed Tomography in Gastrointestinal Malignancies: A Brief Review and Pictorial Essay. Indian J Nucl Med 2022; 37:249-258. [PMID: 36686294 PMCID: PMC9855232 DOI: 10.4103/ijnm.ijnm_208_21] [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: 12/24/2021] [Revised: 03/02/2022] [Accepted: 03/16/2022] [Indexed: 11/07/2022] Open
Abstract
Positron emission tomography/computed tomography (PET/CT) is increasingly becoming a mainstay in diagnosis and management of many malignant disorders. However, its role in the assessment of gastro-intestinal lesions is still evolving. The aim of this review was to demonstrate the areas, where PET/CT is impactful and where it has limitations. This will allow for us to reduce unnecessary investigations and develop methods to overcome the limitations.
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Affiliation(s)
- Anshul Sharma
- Department of Nuclear Medicine, HBCH and RC (TMC), Mullanpur, Punjab, India
| | - Shubha G Ravindra
- Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Tejesh Pratap Singh
- Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar
- Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
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Koopaie M, Ghafourian M, Manifar S, Younespour S, Davoudi M, Kolahdooz S, Shirkhoda M. Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls. BMC Cancer 2022; 22:473. [PMID: 35488257 PMCID: PMC9055774 DOI: 10.1186/s12885-022-09570-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 04/19/2022] [Indexed: 01/07/2023] Open
Abstract
Background Gastric cancer (GC) is the fifth most common cancer and the third cause of cancer deaths globally, with late diagnosis, low survival rate, and poor prognosis. This case-control study aimed to evaluate the expression of cystatin B (CSTB) and deleted in malignant brain tumor 1 (DMBT1) in the saliva of GC patients with healthy individuals to construct diagnostic algorithms using statistical analysis and machine learning methods. Methods Demographic data, clinical characteristics, and food intake habits of the case and control group were gathered through a standard checklist. Unstimulated whole saliva samples were taken from 31 healthy individuals and 31 GC patients. Through ELISA test and statistical analysis, the expression of salivary CSTB and DMBT1 proteins was evaluated. To construct diagnostic algorithms, we used the machine learning method. Results The mean salivary expression of CSTB in GC patients was significantly lower (115.55 ± 7.06, p = 0.001), and the mean salivary expression of DMBT1 in GC patients was significantly higher (171.88 ± 39.67, p = 0.002) than the control. Multiple linear regression analysis demonstrated that GC was significantly correlated with high levels of DMBT1 after controlling the effects of age of participants (R2 = 0.20, p < 0.001). Considering salivary CSTB greater than 119.06 ng/mL as an optimal cut-off value, the sensitivity and specificity of CSTB in the diagnosis of GC were 83.87 and 70.97%, respectively. The area under the ROC curve was calculated as 0.728. The optimal cut-off value of DMBT1 for differentiating GC patients from controls was greater than 146.33 ng/mL (sensitivity = 80.65% and specificity = 64.52%). The area under the ROC curve was up to 0.741. As a result of the machine learning method, the area under the receiver-operating characteristic curve for the diagnostic ability of CSTB, DMBT1, demographic data, clinical characteristics, and food intake habits was 0.95. The machine learning model’s sensitivity, specificity, and accuracy were 100, 70.8, and 80.5%, respectively. Conclusion Salivary levels of DMBT1 and CSTB may be accurate in diagnosing GCs. Machine learning analyses using salivary biomarkers, demographic, clinical, and nutrition habits data simultaneously could provide affordability models with acceptable accuracy for differentiation of GC by a cost-effective and non-invasive method.
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Affiliation(s)
- Maryam Koopaie
- Department of Oral Medicine, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | - Marjan Ghafourian
- Department of Oral Medicine, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | - Soheila Manifar
- Department of Oral Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, North Kargar St, P.O.Box:14395-433, Tehran, 14399-55991, Iran.
| | - Shima Younespour
- Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mansour Davoudi
- Department of Computer Science and Engineering and IT, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
| | - Sajad Kolahdooz
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mohammad Shirkhoda
- Department of General Oncology, Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
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36
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Tham E, Sestito M, Markovich B, Garland-Kledzik M. Current and future imaging modalities in gastric cancer. J Surg Oncol 2022; 125:1123-1134. [PMID: 35481912 DOI: 10.1002/jso.26875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/18/2022] [Accepted: 03/19/2022] [Indexed: 12/24/2022]
Abstract
Gastric adenocarcinoma treatment can include endoscopic mucosal resection, surgery, chemotherapy, radiation, and palliative measures depending on staging. Both invasive and noninvasive staging techniques have been used to dictate the best treatment pathway. Here, we review the current imaging modalities used in gastric cancer as well as novel techniques to accurately stage and screen these patients.
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Affiliation(s)
- Elwin Tham
- Department of Surgical Oncology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Michael Sestito
- Department of Surgical Oncology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Brian Markovich
- Department of Diagnostic Radiology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Mary Garland-Kledzik
- Department of Surgical Oncology, West Virginia University School of Medicine, Morgantown, West Virginia, USA
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Li HH, Sun B, Tan C, Li R, Fu CX, Grimm R, Zhu H, Peng WJ. The Value of Whole-Tumor Histogram and Texture Analysis Using Intravoxel Incoherent Motion in Differentiating Pathologic Subtypes of Locally Advanced Gastric Cancer. Front Oncol 2022; 12:821586. [PMID: 35223503 PMCID: PMC8864172 DOI: 10.3389/fonc.2022.821586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/20/2022] [Indexed: 01/02/2023] Open
Abstract
Purpose To determine if whole-tumor histogram and texture analyses using intravoxel incoherent motion (IVIM) parameters values could differentiate the pathologic characteristics of locally advanced gastric cancer. Methods Eighty patients with histologically confirmed locally advanced gastric cancer who received surgery in our institution were retrospectively enrolled into our study between April 2017 and December 2018. Patients were excluded if they had lesions with the smallest diameter < 5 mm and severe image artifacts. MR scanning included IVIM sequences (9 b values, 0, 20, 40, 60, 100, 150,200, 500, and 800 s/mm2) used in all patients before treatment. Whole tumors were segmented by manually drawing the lesion contours on each slice of the diffusion-weighted imaging (DWI) images (with b=800). Histogram and texture metrics for IVIM parameters values and apparent diffusion coefficient (ADC) values were measured based on whole-tumor volume analyses. Then, all 24 extracted metrics were compared between well, moderately, and poorly differentiated tumors, and between different Lauren classifications, signet-ring cell carcinomas, and other poorly cohesive carcinomas using univariate analyses. Multivariate logistic analyses and multicollinear tests were used to identify independent influencing factors from the significant variables of the univariate analyses to distinguish tumor differentiation and Lauren classifications. ROC curve analyses were performed to evaluate the diagnostic performance of these independent influencing factors for determining tumor differentiation and Lauren classifications and identifying signet-ring cell carcinomas. The interobserver agreement was also conducted between the two observers for image quality evaluations and parameter metric measurements. Results For diagnosing tumor differentiation, the ADCmedian, pure diffusion coefficient median (Dslowmedian), and pure diffusion coefficient entropy (Dslowentropy) showed the greatest AUCs: 0.937, 0.948, and 0.850, respectively, and no differences were found between the three metrics, P>0.05). The 95th percentile perfusion factor (FP P95th) was the best metric to distinguish diffuse-type GCs vs. intestinal/mixed (AUC=0.896). The ROC curve to distinguish signet-ring cell carcinomas from other poorly cohesive carcinomas showed that the Dslowmedian had AUC of 0.738. For interobserver reliability, image quality evaluations showed excellent agreement (interclass correlation coefficient [ICC]=0.85); metrics measurements of all parameters indicated good to excellent agreement (ICC=0.65-0.89), except for the Dfast metric, which showed moderate agreement (ICC=0.41-0.60). Conclusions The whole-tumor histogram and texture analyses of the IVIM parameters based on the biexponential model provided a non-invasive method to discriminate pathologic tumor subtypes preoperatively in patients with locally advanced gastric cancer. The metric FP P95th derived from IVIM performed better in determining Lauren classifications than the mono-exponential model.
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Affiliation(s)
- Huan-Huan Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Bo Sun
- Department of Gastric Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Cong Tan
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Rong Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Cai-Xia Fu
- MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Robert Grimm
- MR Applications Development, Siemens Healthcare, Erlangen, Germany
| | - Hui Zhu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wei-Jun Peng
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
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Kinami S, Saito H, Takamura H. Significance of Lymph Node Metastasis in the Treatment of Gastric Cancer and Current Challenges in Determining the Extent of Metastasis. Front Oncol 2022; 11:806162. [PMID: 35071010 PMCID: PMC8777129 DOI: 10.3389/fonc.2021.806162] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 12/13/2021] [Indexed: 12/16/2022] Open
Abstract
The stomach exhibits abundant lymphatic flow, and metastasis to lymph nodes is common. In the case of gastric cancer, there is a regularity to the spread of lymph node metastasis, and it does not easily metastasize outside the regional nodes. Furthermore, when its extent is limited, nodal metastasis of gastric cancer can be cured by appropriate lymph node dissection. Therefore, identifying and determining the extent of lymph node metastasis is important for ensuring accurate diagnosis and appropriate surgical treatment in patients with gastric cancer. However, precise detection of lymph node metastasis remains difficult. Most nodal metastases in gastric cancer are microscopic metastases, which often occur in small-sized lymph nodes, and are thus difficult to diagnose both preoperatively and intraoperatively. Preoperative nodal diagnoses are mainly made using computed tomography, although the specificity of this method is low because it is mainly based on the size of the lymph node. Furthermore, peripheral nodal metastases cannot be palpated intraoperatively, nodal harvesting of resected specimens remains difficult, and the number of lymph nodes detected vary greatly depending on the skill of the technician. Based on these findings, gastrectomy with prophylactic lymph node dissection is considered the standard surgical procedure for gastric cancer. In contrast, several groups have examined the value of sentinel node biopsy for accurately evaluating nodal metastasis in patients with early gastric cancer, reporting high sensitivity and accuracy. Sentinel node biopsy is also important for individualizing and optimizing the extent of uniform prophylactic lymph node dissection and determining whether patients are indicated for function-preserving curative gastrectomy, which is superior in preventing post-gastrectomy symptoms and maintaining dietary habits. Notably, advancements in surgical treatment for early gastric cancer are expected to result in individualized surgical strategies with sentinel node biopsy. Chemotherapy for advanced gastric cancer has also progressed, and conversion gastrectomy can now be performed after downstaging, even in cases previously regarded as inoperable. In this review, we discuss the importance of determining lymph node metastasis in the treatment of gastric cancer, the associated difficulties, and the need to investigate strategies that can improve the diagnosis of lymph node metastasis.
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Affiliation(s)
- Shinichi Kinami
- Department of Surgical Oncology, Kanazawa Medical University, 1-1 Daigaku, Uchinada-machi, Kahoku-gun, Japan
- Department of General and Gastroenterologic Surgery, Kanazawa Medical University Himi Municipal Hospital, Himi City, Japan
| | - Hitoshi Saito
- Department of General and Gastroenterologic Surgery, Kanazawa Medical University Himi Municipal Hospital, Himi City, Japan
| | - Hiroyuki Takamura
- Department of Surgical Oncology, Kanazawa Medical University, 1-1 Daigaku, Uchinada-machi, Kahoku-gun, Japan
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Sacerdotianu VM, Ungureanu BS, Iordache S, Turcu-Stiolica A, Facciorusso A, Crinò SF, Saftoiu A. Diagnostic Value of Endoscopic Ultrasound after Neoadjuvant Chemotherapy for Gastric Cancer Restaging: A Meta-Analysis of Diagnostic Test. Diagnostics (Basel) 2022; 12:100. [PMID: 35054266 PMCID: PMC8775115 DOI: 10.3390/diagnostics12010100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/18/2021] [Accepted: 12/29/2021] [Indexed: 12/04/2022] Open
Abstract
This study aimed to evaluate the diagnostic value of endoscopic ultrasound (EUS) after neoadjuvant therapy (NT) for gastric cancer restaging by meta-analysis. We conducted a systematic search of studies published on PubMed and Web of Science up to 30th August 2021. Assessing the risk of bias in the included studies was done with the QUADAS-2 tool. We used R and Review Manager 5.4.1 for calculations and statistical analysis. To evaluate the diagnostic value of EUS after NT for gastric cancer restaging, we performed a meta-analysis on six studies, with a total of 283 patients, including true-positive, true-negative, false-positive, and false-negative results for T1-T4, N0. EUS as a diagnostic test for GC patients after chemotherapy has a relatively low DOR for the T2 (3.96) and T4 stages (4.79) and a relatively high partial AUC for the T2 (0.85) and T4 (0.71) stages. Our results reveal that the pooled sensitivity for T stages after chemotherapy is rather low (29-56%), except for the T3 stage (71%). A potential limitation of our study was the small number of included studies, but no significant heterogeneity was found between them. Our meta-analysis concludes that EUS is not recommended or is still under debate for GC restaging after NT.
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Affiliation(s)
- Victor Mihai Sacerdotianu
- Gastroenterology Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (V.M.S.); (B.S.U.); (A.S.)
| | - Bogdan Silviu Ungureanu
- Gastroenterology Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (V.M.S.); (B.S.U.); (A.S.)
| | - Sevastita Iordache
- Gastroenterology Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (V.M.S.); (B.S.U.); (A.S.)
| | - Adina Turcu-Stiolica
- Pharmacoeconomics Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Antonio Facciorusso
- Pancreas Center, Gastroenterology Unit, Department of Medicine, University of Verona, 37134 Verona, Italy; (A.F.); (S.F.C.)
- Department of Medical and Surgical Sciences, Section of Gastroenterology, Ospedali Riuniti di Foggia, 71122 Foggia, Italy
| | - Stefano Francesco Crinò
- Pancreas Center, Gastroenterology Unit, Department of Medicine, University of Verona, 37134 Verona, Italy; (A.F.); (S.F.C.)
| | - Adrian Saftoiu
- Gastroenterology Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (V.M.S.); (B.S.U.); (A.S.)
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Saiz Martínez R, Dromain C, Vietti Violi N. Imaging of Gastric Carcinomatosis. J Clin Med 2021; 10:5294. [PMID: 34830575 PMCID: PMC8624519 DOI: 10.3390/jcm10225294] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 11/06/2021] [Accepted: 11/11/2021] [Indexed: 01/17/2023] Open
Abstract
Diagnosing the absence or presence of peritoneal carcinomatosis in patients with gastric cancer, including its extent and distribution, is an essential step in patients' therapeutic management. Such diagnosis still remains a radiological challenge. In this article, we review the strengths and weaknesses of the different imaging techniques for the diagnosis of peritoneal carcinomatosis of gastric origin as well as the techniques' imaging features. We also discuss the assessment of response to treatment and present recommendations for the follow-up of patients with complete surgical resection according to the presence of risk factors of recurrence, as well as discussing future directions for imaging improvement.
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Affiliation(s)
| | - Clarisse Dromain
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1015 Lausanne, Switzerland;
| | - Naik Vietti Violi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1015 Lausanne, Switzerland;
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Ge Z, Wang M, Liu Q. Segmentation of Gastric Computerized Tomography Images under Intelligent Algorithms in Evaluation of Efficacy of Decitabine Combined with Paclitaxel in Treatment of Gastric Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:8023490. [PMID: 34745511 PMCID: PMC8566038 DOI: 10.1155/2021/8023490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022]
Abstract
To analyze the evaluation of artificial intelligence algorithm combined with gastric computed tomography (CT) image in clinical chemotherapy for advanced gastric cancer, 112 patients with advanced gastric cancer were selected as the research object. Among which, 56 patients in the experimental group received paclitaxel (PTX) combined with decitabine sequential decitabine maintenance therapy. Fifty-six patients in the control group received first-line treatment with decitabine combined with cisplatin. The image segmentation algorithm based on fast interactive dictionary selection was used to process gastric CT images. Complete response (CR), partial response (PR), stable disease (SD), progressive disease (PD), response rate (RR), disease control rate (DCR), and overall survival (OS) after treatment were recorded. The true-positive rate (TPR) and coincidence ratio (CR) of the proposed algorithm for image segmentation were significantly higher than those of the mean shift algorithm and the iCoseg algorithm. The mean edge distance (MED) and edge distance variance (EDV) were significantly lower than the mean shift algorithm and the iCoseg algorithm, and the differences were considerable (P < 0.05). The number of CR (5 cases), PR (13 cases), RR (18 cases), and DCR (44 cases) in the experimental group was significantly higher than that in the control group, while the number of PD (12 cases) was significantly lower than that in the control group (P < 0.05). The number of patients complicated with hematological toxicity, leucopenia, thrombocytopenia, and digestive tract reaction in the experimental group was less than that in the control group (P < 0.05). From the comparison of long-term efficacy, the survival rate of patients in both groups showed a decreasing trend within 24 months, but the decreasing trend of survival rate of patients in the experimental group was better than that in the control group. In short, the proposed algorithm had better segmentation performance than traditional algorithms. Compared with first-line treatment with decitabine and cisplatin, PTX in combination with decitabine sequential citabine maintenance regimens had better disease control rates, lower toxicity, and more effective improvements in patient quality of life and longer survival in patients with advanced gastric cancer.
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Affiliation(s)
- Zhenghui Ge
- Department of Gastroenterology, The People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Danyang 212300, Jiangsu, China
| | - Mengyun Wang
- Department of Imaging, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an 223002, Jiangsu, China
| | - Qun Liu
- Department of Neurology, Lianshui County People's Hospital, Lianshui 223400, Jiangsu, China
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Intelligent Algorithm-Based Magnetic Resonance Imaging in Radical Gastrectomy under Laparoscope. CONTRAST MEDIA & MOLECULAR IMAGING 2021; 2021:1701447. [PMID: 34621143 PMCID: PMC8455201 DOI: 10.1155/2021/1701447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 11/21/2022]
Abstract
The study focused on the influence of intelligent algorithm-based magnetic resonance imaging (MRI) on short-term curative effects of laparoscopic radical gastrectomy for gastric cancer. A convolutional neural network- (CNN-) based algorithm was used to segment MRI images of patients with gastric cancer, and 158 subjects admitted at hospital were selected as research subjects and randomly divided into the 3D laparoscopy group and 2D laparoscopy group, with 79 cases in each group. The two groups were compared for operation time, intraoperative blood loss, number of dissected lymph nodes, exhaust time, time to get out of bed, postoperative hospital stay, and postoperative complications. The results showed that the CNN-based algorithm had high accuracy with clear contours. The similarity coefficient (DSC) was 0.89, the sensitivity was 0.93, and the average time to process an image was 1.1 min. The 3D laparoscopic group had shorter operation time (86.3 ± 21.0 min vs. 98 ± 23.3 min) and less intraoperative blood loss (200 ± 27.6 mL vs. 209 ± 29.8 mL) than the 2D laparoscopic group, and the difference was statistically significant (P < 0.05). The number of dissected lymph nodes was 38.4 ± 8.5 in the 3D group and 36.1 ± 6.0 in the 2D group, showing no statistically significant difference (P > 0.05). At the same time, no statistically significant difference was noted in postoperative exhaust time, time to get out of bed, postoperative hospital stay, and the incidence of complications (P > 0.05). It was concluded that the algorithm in this study can accurately segment the target area, providing a basis for the preoperative examination of gastric cancer, and that 3D laparoscopic surgery can shorten the operation time and reduce intraoperative bleeding, while achieving similar short-term curative effects to 2D laparoscopy.
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Chen Q, Wang X, Ding R, Wang Z. Intelligent Algorithm-Based CT Imaging for Evaluation of Efficacy of Docetaxel Combined with Fluorouracil on Patients with Gastric Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:1040374. [PMID: 34659676 PMCID: PMC8514889 DOI: 10.1155/2021/1040374] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 09/22/2021] [Indexed: 11/18/2022]
Abstract
The study focused on the dual-source computed tomography (CT) images segmented by the decision tree algorithm, to explore the efficacy of docetaxel combined with fluorouracil therapy on gastric patients undergoing chemotherapy. In this study, 98 patients with gastric cancer who were treated in the hospital were selected as the research subjects. The decision tree algorithm was applied to segment dual-source CT images of gastric cancer patients. The decision tree is established according to the feature ring and the segmentation position. The machine inductively learns from the decision tree to extract the features of the CT image to obtain the optimal segmentation boundary. The observation group was treated with docetaxel combined with fluorouracil, and the control group was treated with docetaxel combined with tegafur gimeracil oteracil potassium capsules. The general data of the two groups of patients were comparable and not statistically significant (P > 0.05). The two groups were compared for clinical efficacy, physical status, KPS score, improvement rate, and adverse drug reactions after treatment. The results showed that the improvement rate of physical fitness in the observation group was 38.78%, and the improvement rate in the control group was 18.37%. The total effective rate in the observation group was 42.85%, and the total effective rate in the control group was 36.73%. Obviously, the curative effect and improvement rate of physical fitness in the observation group were significantly better than those in the control group (P < 0.05). In conclusion, the decision tree algorithm proposed in this study demonstrates superb capabilities in feature extraction of CT images. The machine inductively learns from the decision tree to extract the features of the CT image to obtain the optimal segmentation boundary. The effect of docetaxel combined with fluorouracil is better than that of docetaxel combined with tegafur gimeracil oteracil potassium capsules.
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Affiliation(s)
- Qianqian Chen
- Department of Gastroenterology, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an 223002, Jiangsu, China
| | - Xiaohong Wang
- Department of CT, The First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian, China
| | - Rong Ding
- Blood Rheumatology and Immunology, Lianshui County People's Hospital, Lianshui County 223400, Jiangsu, China
| | - Ziyao Wang
- Department of Pharmacy, People's Hospital of Hongze District, Huai'an 223100, Jiangsu, China
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Yuan Y, Ren S, Wang T, Shen F, Hao Q, Lu J. Differentiating T1a-T1b from T2 in gastric cancer lesions with three different measurement approaches based on contrast-enhanced T1W imaging at 3.0 T. BMC Med Imaging 2021; 21:140. [PMID: 34583642 PMCID: PMC8480061 DOI: 10.1186/s12880-021-00672-7] [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: 05/31/2021] [Accepted: 09/20/2021] [Indexed: 12/24/2022] Open
Abstract
Background To explore the diagnostic value of three different measurement approaches in differentiating T1a–T1b from T2 gastric cancer (GC) lesions.
Methods A total of 95 consecutive patients with T1a–T2 stage of GC who performed preoperative MRI were retrospectively enrolled between January 2017 and November 2020. The parameters MRI T stage (subjective evaluation), thickness, maximum area and volume of the lesions were evaluated by two radiologists. Specific indicators including AUC, optimal cutoff, sensitivity, specificity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), positive predictive value (PPV) and negative predictive value (NPV) of MRI T stage, thickness, maximum area and volume for differentiating T1a–T1b from T2 stage lesions were calculated. The ROC curves were compared by the Delong test. Decision curve analysis (DCA) was used to evaluate the clinical benefit. Results The ROC curves for thickness (AUC = 0.926), maximum area (AUC = 0.902) and volume (AUC = 0.897) were all significantly better than those of the MRI T stage (AUC = 0.807) in differentiating T1a–T1b from T2 lesions, with p values of 0.004, 0.034 and 0.041, respectively. The values corresponding to the thickness (including AUC, sensitivity, specificity, accuracy, PPV, NPV, PLR and NLR) were all higher than those corresponding to the MRI T stage, maximum area and volume. The DCA curves indicated that the parameter thickness could provide the highest clinical benefit if the threshold probability was above 35%. Conclusions Thickness may provide an efficient approach to rapidly distinguish T1a–T1b from T2 stage GC lesions.
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Affiliation(s)
- Yuan Yuan
- Department of Radiology, Changhai Hospital of Shanghai, No.168, Shanghai, China
| | - Shengnan Ren
- Department of Nuclear Medicine, Shanghai Fourth People's Hospital, Shanghai, China
| | - Tiegong Wang
- Department of Radiology, Changhai Hospital of Shanghai, No.168, Shanghai, China
| | - Fu Shen
- Department of Radiology, Changhai Hospital of Shanghai, No.168, Shanghai, China.
| | - Qiang Hao
- Department of Radiology, Changhai Hospital of Shanghai, No.168, Shanghai, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, No.168, Shanghai, China
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Shimada H, Fukagawa T, Haga Y, Okazumi S, Oba K. Clinical TNM staging for esophageal, gastric, and colorectal cancers in the era of neoadjuvant therapy: A systematic review of the literature. Ann Gastroenterol Surg 2021; 5:404-418. [PMID: 34337289 PMCID: PMC8316742 DOI: 10.1002/ags3.12444] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 01/06/2021] [Accepted: 01/26/2021] [Indexed: 12/12/2022] Open
Abstract
AIM Clinical staging is vital for selecting appropriate candidates and designing neoadjuvant treatment strategies for advanced tumors. The aim of this review was to evaluate diagnostic abilities of clinical TNM staging for gastrointestinal, gastrointestinal cancers. METHODS We conducted a systematic review of recent publications to evaluate the accuracy of diagnostic modalities on gastrointestinal cancers. A systematic literature search was performed in PubMed/MEDLINE using the keywords "TNM staging," "T4 staging," "distant metastases," "esophageal cancer," "gastric cancer," and "colorectal cancer," and the search terms used in Cochrane Reviews between January 2005 to July 2020. Articles focusing on preoperative diagnosis of: (a) depth of invasion; (b) lymph node metastases; and (c) distant metastases were selected. RESULTS After a full-text search, a final set of 55 studies (17 esophageal cancer studies, 26 gastric cancer studies, and 12 colorectal cancer studies) were used to evaluate the accuracy of clinical TNM staging. Positron emission tomography-computed tomography (PET-CT) and/or magnetic resonance imaging (MRI) were the best modalities to assess distant metastases. Fat and fiber mode of CT may be useful for T4 staging of esophageal cancer, CT was a partially reliable modality for lymph node staging in gastric cancer, and CT combined with MRI was the most reliable modality for liver metastases from colorectal cancer. CONCLUSION The most reliable diagnostic modality differed among gastrointestinal cancers depending on the type of cancer. Therefore, we propose diagnostic algorithms for clinical staging for each type of cancer.
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Affiliation(s)
- Hideaki Shimada
- Department of Gastroenterological SurgeryToho University Graduate School of MedicineTokyoJapan
| | - Takeo Fukagawa
- Department of SurgeryTeikyo University School of MedicineTokyoJapan
| | - Yoshio Haga
- Department of SurgeryJapan Community Healthcare Organization Amakusa Central General HospitalAmakusaJapan
| | - Shin‐ichi Okazumi
- Department of Gastroenterological SurgeryToho University Graduate School of MedicineTokyoJapan
- Department of SurgeryToho University Sakura Medical CenterSakuraJapan
| | - Koji Oba
- Department of BiostatisticsSchool of Public HealthGraduate School of MedicineThe University of TokyoTokyoJapan
- Interfaculty Initiative in Information StudiesGraduate School of Interdisciplinary Information StudiesThe University of TokyoTokyoJapan
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Sollini M, Kirienko M, Gelardi F, Fiz F, Gozzi N, Chiti A. State-of-the-art of FAPI-PET imaging: a systematic review and meta-analysis. Eur J Nucl Med Mol Imaging 2021; 48:4396-4414. [PMID: 34173007 DOI: 10.1007/s00259-021-05475-0] [Citation(s) in RCA: 106] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 06/17/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Fibroblast activation protein-α (FAPα) is overexpressed on cancer-associated fibroblasts in approximately 90% of epithelial neoplasms, representing an appealing target for therapeutic and molecular imaging applications. [68 Ga]Ga-labelled radiopharmaceuticals-FAP-inhibitors (FAPI)-have been developed for PET. We systematically reviewed and meta-analysed published literature to provide an overview of its clinical role. MATERIALS AND METHODS The search, limited to January 1st, 2018-March 31st, 2021, was performed on MedLine and Embase databases using all the possible combinations of terms "FAP", "FAPI", "PET/CT", "positron emission tomography", "fibroblast", "cancer-associated fibroblasts", "CAF", "molecular imaging", and "fibroblast imaging". Study quality was assessed using the QUADAS-2 criteria. Patient-based and lesion-based pooled sensitivities/specificities of FAPI PET were computed using a random-effects model directly from the STATA "metaprop" command. Between-study statistical heterogeneity was tested (I2-statistics). RESULTS Twenty-three studies were selected for systematic review. Investigations on staging or restaging head and neck cancer (n = 2, 29 patients), abdominal malignancies (n = 6, 171 patients), various cancers (n = 2, 143 patients), and radiation treatment planning (n = 4, 56 patients) were included in the meta-analysis. On patient-based analysis, pooled sensitivity was 0.99 (95% CI 0.97-1.00) with negligible heterogeneity; pooled specificity was 0.87 (95% CI 0.62-1.00), with negligible heterogeneity. On lesion-based analysis, sensitivity and specificity had high heterogeneity (I2 = 88.56% and I2 = 97.20%, respectively). Pooled sensitivity for the primary tumour was 1.00 (95% CI 0.98-1.00) with negligible heterogeneity. Pooled sensitivity/specificity of nodal metastases had high heterogeneity (I2 = 89.18% and I2 = 95.74%, respectively). Pooled sensitivity in distant metastases was good (0.93 with 95% CI 0.88-0.97) with negligible heterogeneity. CONCLUSIONS FAPI-PET appears promising, especially in imaging cancers unsuitable for [18F]FDG imaging, particularly primary lesions and distant metastases. However, high-level evidence is needed to define its role, specifically to identify cancer types, non-oncological diseases, and clinical settings for its applications.
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Affiliation(s)
- Martina Sollini
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20090, Milan, Italy.,IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Margarita Kirienko
- Fondazione IRCCS Istituto Nazionale Tumori, Via G. Venezian 1, 20133, Milan, Italy
| | - Fabrizia Gelardi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20090, Milan, Italy. .,IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
| | - Francesco Fiz
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Noemi Gozzi
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20090, Milan, Italy.,IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
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Lymph Node Involvement in Advanced Gastric Cancer in the Era of Multimodal Treatment-Oncological and Surgical Perspective. Cancers (Basel) 2021; 13:cancers13102509. [PMID: 34065596 PMCID: PMC8160868 DOI: 10.3390/cancers13102509] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 05/18/2021] [Accepted: 05/19/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Gastric cancer (GC) continues to be one of the major oncological challenges on a global scale. The role of neoadjuvant chemotherapy (NAC) in GC is to downstage primary tumour, eliminate potential micrometastases, and increase the chance for radical resection. Although systemic treatment prolongs the survival in advanced GC, persistent lymph node (LN) metastases indicate poor prognosis. Therefore, further identification of prognostic factors after NAC is urgent and could positively influence clinical outcomes. This article aimed to review the actual trends and future perspectives in multimodal therapy of advanced GC, with a particular interest in the post-neoadjuvant pathological nodal stage. Since downstaged and primarily node-negative patients show a similar prognosis, the main target for NAC in advanced GC should be nodal clearance. Adequate staging and personalised perioperative therapy seem to be of great importance in the multimodal treatment of GC. Abstract Gastric cancer (GC) continues to be one of the major oncological challenges on a global scale. The role of neoadjuvant chemotherapy (NAC) in GC is to downstage primary tumour, eliminate potential micrometastases, and increase the chance for radical resection. Although systemic treatment prolongs the survival in advanced GC, persistent lymph node (LN) metastases indicate poor prognosis. Further identification of prognostic factors after NAC is urgent and could positively influence clinical outcomes. This article aimed to review the actual trends and future perspectives in multimodal therapy of advanced GC, with a particular interest in the post-neoadjuvant pathological nodal stage. A favourable prognostic impact for ypN0 patients is observed, either due to truly negative LN before the start of therapy or because preoperative therapy achieved a pathologically complete nodal response. Ongoing trials investigating the extent of lymphadenectomy after neoadjuvant therapy will standardise the LN dissection from the multimodal therapy perspective. Since downstaged and primarily node-negative patients show a similar prognosis, the main target for NAC in advanced GC should be nodal clearance. Adequate staging and personalised perioperative therapy seem to be of great importance in the multimodal treatment of GC.
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Bonde A, Daly S, Kirsten J, Kondapaneni S, Mellnick V, Menias CO, Katabathina VS. Human Gut Microbiota-associated Gastrointestinal Malignancies: A Comprehensive Review. Radiographics 2021; 41:1103-1122. [PMID: 33989072 DOI: 10.1148/rg.2021200168] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The human gastrointestinal tract houses trillions of microbes. The gut and various types of microorganisms, including bacteria, viruses, fungi, and archaea, form a complex ecosystem known as the gut microbiota, and the whole genome of the gut microbiota is referred to as the gut microbiome. The gut microbiota is essential for homeostasis and the overall well-being of a person and is increasingly considered an adjunct "virtual organ," with a complexity level comparable to that of the other organ systems. The gut microbiota plays an essential role in nutrition, local mucosal homeostasis, inflammation, and the mucosal immune system. An imbalanced state of the gut microbiota, known as dysbiosis, can predispose to development of various gastrointestinal malignancies through three speculated pathogenic mechanisms: (a) direct cytotoxic effects with damage to the host DNA, (b) disproportionate proinflammatory signaling inducing inflammation, and (c) activation of tumorigenic pathways or suppression of tumor-suppressing pathways. Several microorganisms, including Helicobacter pylori, Epstein-Barr virus, human papillomavirus, Mycoplasma species, Escherichia coli, and Streptococcus bovis, are associated with gastrointestinal malignancies such as esophageal adenocarcinoma, gastric adenocarcinoma, gastric mucosa-associated lymphoid tissue lymphoma, colorectal adenocarcinoma, and anal squamous cell carcinoma. Imaging plays a pivotal role in diagnosis and management of microbiota-associated gastrointestinal malignancies. Appropriate use of probiotics, fecal microbiota transplantation, and overall promotion of the healthy gut are ongoing areas of research for prevention and treatment of malignancies. Online supplemental material is available for this article. ©RSNA, 2021.
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Affiliation(s)
- Apurva Bonde
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
| | - Sean Daly
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
| | - Julia Kirsten
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
| | - Sainath Kondapaneni
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
| | - Vincent Mellnick
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
| | - Christine O Menias
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
| | - Venkata S Katabathina
- From the Department of Radiology, University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 (A.B., S.D., J.K., V.S.K.); University of Texas at Austin, Austin, Tex (S.K.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (V.M.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.)
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Zhang C, Li D, Yu R, Li C, Song Y, Chen X, Fan Y, Liu Y, Qu X. Immune Landscape of Gastric Carcinoma Tumor Microenvironment Identifies a Peritoneal Relapse Relevant Immune Signature. Front Immunol 2021; 12:651033. [PMID: 34054812 PMCID: PMC8155484 DOI: 10.3389/fimmu.2021.651033] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 04/20/2021] [Indexed: 12/24/2022] Open
Abstract
Background Gastric cancer (GC) still represents the third leading cause of cancer-related death worldwide. Peritoneal relapse (PR) is the most frequent metastasis occurring among patients with advanced gastric cancer. Increasingly more evidence have clarified the tumor immune microenvironment (TIME) may predict survival and have clinical significance in GC. However, tumor-transcriptomics based immune signatures derived from immune profiling have not been established for predicting the peritoneal recurrence of the advanced GC. Methods In this study, we depict the immune landscape of GC by using transcriptome profiling and clinical characteristics retrieved from GSE62254 of Gene Expression Omnibus (GEO). Immune cell infiltration score was evaluated via single-sample gene set enrichment (ssGSEA) analysis algorithm. The least absolute shrinkage and selection operator (LASSO) Cox regression algorithm was used to select the valuable immune cells and construct the final model for the prediction of PR. The receiver operating characteristic (ROC) curve and the Kaplan-Meier curve were used to check the accuracy of PRIs. Gene Set Enrichment Analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed to explore the molecular pathways associated with PRIs. Results A peritoneal recurrence related immune score (PRIs) with 10 immune cells was constructed. Compared to the low-PRIs group, the high-PRIs group had a greater risk. The upregulation of the focal adhesion signaling was observed in the high-PRIs subtype by GSEA and KEGG. Multivariate analysis found that both in the internal training cohort and the internal validation cohort, PRIs was a stable and independent predictor for PR. A nomogram that integrated clinicopathological features and PRIs to predict peritoneal relapse was constructed. Subgroup analysis indicated that the PRIs could obviously distinguish peritoneal recurrence in different molecular subtypes, pathological stages and Lauren subtypes, in which PRIs of Epithelial-Mesenchymal Transitions (EMT) subtype, III-IV stage and diffuse subtype are higher respectively. Conclusion Overall, we performed a comprehensive evaluation of the immune landscape of GC and constructed a predictive PR model based on the immune cell infiltration. The PRIs represents novel promising feature of predicting peritoneal recurrence of GC and sheds light on the improvement of the personalized management of GC patients after surgery.
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Affiliation(s)
- Chuang Zhang
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Danni Li
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Ruoxi Yu
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institution, Shenyang, China
| | - Ce Li
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Yujia Song
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Xi Chen
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Yibo Fan
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Yunpeng Liu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
| | - Xiujuan Qu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China.,Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, China
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Ao S, Wang Y, Song Q, Ye Y, Lyu G. Current status and future perspectives on neoadjuvant therapy in gastric cancer. Chin J Cancer Res 2021; 33:181-192. [PMID: 34158738 PMCID: PMC8181872 DOI: 10.21147/j.issn.1000-9604.2021.02.06] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 04/07/2021] [Indexed: 12/12/2022] Open
Abstract
Gastric cancer, with high morbidity and mortality rates, is one of the most heterogeneous tumors. Radical gastrectomy and postoperative chemotherapy are the standard treatments. However, the safety and efficacy of neoadjuvant therapy (NAT) need to be confirmed by many trials before implementation, creating a bottleneck in development. Although clinical benefits of NAT have been observed, a series of problems remain to be solved. Before therapy, more contributing factors should be offered for choice in the intended population and ideal regimens. Enhanced computed tomography (CT) scanning is usually applied to evaluate effectiveness according to Response Evaluation Criteria in Solid Tumors (RECIST), yet CT scanning results sometimes differ from pathological responses. After NAT, the appropriate time for surgery is still empirically defined. Our review aims to discuss the abovementioned issues regarding NAT for GC, including indications, selection of regimens, lesion assessment and NAT-surgery interval time.
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Affiliation(s)
- Sheng Ao
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
- Department of Gastrointestinal Surgery, Peking University People’s Hospital, Beijing 100044, China
| | - Yuchen Wang
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Qingzhi Song
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Yingjiang Ye
- Department of Gastrointestinal Surgery, Peking University People’s Hospital, Beijing 100044, China
| | - Guoqing Lyu
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
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