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Jiang S, Gao X, Tian Y, Chen J, Wang Y, Jiang Y, He Y. The potential of 18F-FDG PET/CT metabolic parameter-based nomogram in predicting the microvascular invasion of hepatocellular carcinoma before liver transplantation. Abdom Radiol (NY) 2024:10.1007/s00261-023-04166-8. [PMID: 38265452 DOI: 10.1007/s00261-023-04166-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 06/17/2023] [Accepted: 12/16/2023] [Indexed: 01/25/2024]
Abstract
PURPOSE Microvascular invasion (MVI) is a critical factor in predicting the recurrence and prognosis of hepatocellular carcinoma (HCC) after liver transplantation (LT). However, there is a lack of reliable preoperative predictors for MVI. The purpose of this study is to evaluate the potential of an 18F-FDG PET/CT-based nomogram in predicting MVI before LT for HCC. METHODS 83 HCC patients who obtained 18F-FDG PET/CT before LT were included in this retrospective research. To determine the parameters connected to MVI and to create a nomogram for MVI prediction, respectively, Logistic and Cox regression models were applied. Analyses of the calibration curve and receiver operating characteristic (ROC) curves were used to assess the model's capability to differentiate between clinical factors and metabolic data from PET/CT images. RESULTS Among the 83 patients analyzed, 41% were diagnosed with histologic MVI. Multivariate logistic regression analysis revealed that Child-Pugh stage, alpha-fetoprotein, number of tumors, CT Dmax, and Tumor-to-normal liver uptake ratio (TLR) were significant predictors of MVI. A nomogram was constructed using these predictors, which demonstrated strong calibration with a close agreement between predicted and actual MVI probabilities. The nomogram also showed excellent differentiation with an AUC of 0.965 (95% CI 0.925-1.000). CONCLUSION The nomogram based on 18F-FDG PET/CT metabolic characteristics is a reliable preoperative imaging biomarker for predicting MVI in HCC patients before undergoing LT. It has demonstrated excellent efficacy and high clinical applicability.
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Affiliation(s)
- Shengpan Jiang
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, 430071, China
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), 216 Guanshan Avenue, Wuhan, 430074, China
| | - Xiaoqing Gao
- Clinical Laboratory Department, Wuhan Third Hospital (Tongren Hospital of Wuhan University), 216 Guanshan Avenue, Wuhan, 430074, China
| | - Yueli Tian
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, 430071, China
| | - Jie Chen
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, 430071, China
| | - Yichun Wang
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, 430071, China
| | - Yaqun Jiang
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, 430071, China
| | - Yong He
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, 430071, China.
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Kumar A, Acharya SK, Singh SP, Duseja A, Madan K, Shukla A, Arora A, Anand AC, Bahl A, Soin AS, Sirohi B, Dutta D, Jothimani D, Panda D, Saini G, Varghese J, Kumar K, Premkumar M, Panigrahi MK, Wadhawan M, Sahu MK, Rela M, Kalra N, Rao PN, Puri P, Bhangui P, Kar P, Shah SR, Baijal SS, Shalimar, Paul SB, Gamanagatti S, Gupta S, Taneja S, Saraswat VA, Chawla YK. 2023 Update of Indian National Association for Study of the Liver Consensus on Management of Intermediate and Advanced Hepatocellular Carcinoma: The Puri III Recommendations. J Clin Exp Hepatol 2024; 14:101269. [PMID: 38107186 PMCID: PMC10724697 DOI: 10.1016/j.jceh.2023.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/12/2023] [Indexed: 12/19/2023] Open
Abstract
Hepatocellular carcinoma (HCC) presents significant treatment challenges despite considerable advancements in its management. The Indian National Association for the Study of the Liver (INASL) first published its guidelines to aid healthcare professionals in the diagnosis and treatment of HCC in 2014. These guidelines were subsequently updated in 2019. However, INASL has recognized the need to revise its guidelines in 2023 due to recent rapid advancements in the diagnosis and management of HCC, particularly for intermediate and advanced stages. The aim is to provide healthcare professionals with evidence-based recommendations tailored to the Indian context. To accomplish this, a task force was formed, and a two-day round table discussion was held in Puri, Odisha. During this event, experts in their respective fields deliberated and finalized consensus statements to develop these updated guidelines. The 2023 INASL guidelines offer a comprehensive framework for the diagnosis, staging, and management of intermediate and advanced HCC in India. They represent a significant step forward in standardizing clinical practices nationwide, with the primary objective of ensuring that patients with HCC receive the best possible care based on the latest evidence. The guidelines cover various topics related to intermediate and advanced HCC, including biomarkers of aggressive behavior, staging, treatment options, and follow-up care.
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Affiliation(s)
- Ashish Kumar
- Institute of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110060, India
| | - Subrat K. Acharya
- Department of Gastroenterology and Hepatology, KIIT University, Patia, Bhubaneswar, Odisha, 751 024, India
| | - Shivaram P. Singh
- Department of Gastroenterology, SCB Medical College, Cuttack, Dock Road, Manglabag, Cuttack, Odisha, 753 007, India
| | - Ajay Duseja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India
| | - Kaushal Madan
- Clinical Hepatology, Max Hospitals, Saket, New Delhi, India
| | - Akash Shukla
- Department of Gastroenterology, Seth GSMC & KEM Hospital, Mumbai, 400022, India
| | - Anil Arora
- Institute of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110060, India
| | - Anil C. Anand
- Department of Gastroenterology, Kalinga Institute of Medical Sciences (KIMS), Kushabhadra Campus (KIIT Campus-5), Patia, Bhubaneswar, Odisha, 751 024, India
| | - Ankur Bahl
- Department of Medical Oncology, Fortis Memorial Research Institute, Sector - 44, Opp. HUDA City Center, Gurugram, 122002, India
| | - Arvinder S. Soin
- Medanta Institute of Liver Transplantation and Regenerative Medicine, Medanta The Medicity, CH Baktawar Singh Road, Sector 38, Gurugram, Haryana, 122 001, India
| | - Bhawna Sirohi
- Medical Oncology, BALCO Medical Centre, Raipur Chattisgarh, 493661, India
| | - Debnarayan Dutta
- Radiation Oncology, Amrita Institute of Medical Sciences, Ponekkara, AIMS (P.O.), Kochi, 682041, India
| | - Dinesh Jothimani
- Department of Hepatology, Dr. Rela Institute & Medical Centre, #7, CLC Works Road, Chromepet, Chennai, 600044, India
| | - Dipanjan Panda
- Department of Medical Oncology, Apollo Cancer Centre, Indraprastha Apollo Hospital, Sarita Vihar, New Delhi, 110076, India
| | - Gagan Saini
- Radiation Oncology, Max Institute of Cancer Care, Max Super-Speciality Hospital, W-3, Ashok Marg, near Radisson Blu Hotel, Sector-1, Vaishali, Ghaziabad, 201012, India
| | - Joy Varghese
- Department of Hepatology & Transplant Hepatology, Gleneagles Global Health City, 439, Cheran Nagar, Perumbakkam, Chennai, Tamil Nadu, 600100, India
| | - Karan Kumar
- Department of HPB Sciences and Liver Transplantation, Mahatma Gandhi Medical College and Hospital, RIICO Institutional Area, Sitapura, Tonk Road, Jaipur, 302022, Rajasthan, India
| | - Madhumita Premkumar
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India
| | - Manas K. Panigrahi
- Department of Gastroenterology, All India Institute of Medical Sciences, Bhubaneswar, 751019, Odisha, India
| | - Manav Wadhawan
- Liver & Digestive Diseases Institute, Institute of Liver & Digestive Diseases, BLK Max Hospital, Delhi, 110 005, India
| | - Manoj K. Sahu
- Department of Medical Gastroenterology, IMS & SUM Hospital, K8 Kalinga Nagar, Shampur, Bhubaneswar, Odisha 751 003, India
| | - Mohamed Rela
- The Institute of Liver Disease & Transplantation, Dr. Rela Institute & Medical Centre, #7, CLC Works Road, Chromepet, Chennai, 600044, India
| | - Naveen Kalra
- Department of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India
| | - Padaki N. Rao
- Department of Medical Gastroenterology, Asian Institute of Gastroenterology, No. 6-3-661, Punjagutta Road, Somajiguda, Hyderabad, Telangana, 500 082, India
| | - Pankaj Puri
- Fortis Escorts Liver & Digestive Diseases Institute (FELDI), Fortis Escorts Heart Institute & Research Centre, Okhla Road, New Delhi, 110025, India
| | - Prashant Bhangui
- Medanta Institute of Liver Transplantation and Regenerative Medicine, Medanta The Medicity, CH Baktawar Singh Road, Sector 38, Gurugram, Haryana, 122 001, India
| | - Premashis Kar
- Department of Gastroenterology and Hepatology, Max Super Speciality Hospital, Vaishali, Ghaziabad, Uttar Pradesh, 201 012, India
| | - Samir R. Shah
- Department of Hepatology and Liver Intensive Care, Institute of Liver Disease, HPB Surgery and Transplant Global Hospitals, Dr E Borges Road, Parel, Mumbai, 400012, India
| | - Sanjay S. Baijal
- Diagnostic and Interventional Radiology, Medanta The Medicity, CH Baktawar Singh Road, Sector 38, Gurugram, Haryana, 122 001, India
| | - Shalimar
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110 029, India
| | - Shashi B. Paul
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110 029, India
| | - Shivanand Gamanagatti
- Fortis Escorts Liver & Digestive Diseases Institute (FELDI), Fortis Escorts Heart Institute & Research Centre, Okhla Road, New Delhi, 110025, India
| | - Subash Gupta
- Centre for Liver & Biliary Sciences, Liver Transplant and Biliary Sciences, Robotic Surgery, Max Super Speciality Hospital, No. 1, 2, Press Enclave Road, Mandir Marg, Saket Institutional Area, Saket, New Delhi, Delhi, 110017, India
| | - Sunil Taneja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India
| | - Vivek A. Saraswat
- Department of Gastroenterology and Hepatology, Mahatma Gandhi Medical College and Hospital, RIICO Institutional Area, Sitapura, Tonk Road, Jaipur, 302022, Rajasthan, India
| | - Yogesh K. Chawla
- Department of Gastroenterology, Kalinga Institute of Medical Sciences (KIMS), Kushabhadra Campus (KIIT Campus-5), Patia, Bhubaneswar, Odisha, 751 024, India
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Li J, Su X, Xu X, Zhao C, Liu A, Yang L, Song B, Song H, Li Z, Hao X. Preoperative prediction and risk assessment of microvascular invasion in hepatocellular carcinoma. Crit Rev Oncol Hematol 2023; 190:104107. [PMID: 37633349 DOI: 10.1016/j.critrevonc.2023.104107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 08/22/2023] [Indexed: 08/28/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common and highly lethal tumors worldwide. Microvascular invasion (MVI) is a significant risk factor for recurrence and poor prognosis after surgical resection for HCC patients. Accurately predicting the status of MVI preoperatively is critical for clinicians to select treatment modalities and improve overall survival. However, MVI can only be diagnosed by pathological analysis of postoperative specimens. Currently, numerous indicators in serology (including liquid biopsies) and imaging have been identified to effective in predicting the occurrence of MVI, and the multi-indicator model based on deep learning greatly improves accuracy of prediction. Moreover, several genes and proteins have been identified as risk factors that are strictly associated with the occurrence of MVI. Therefore, this review evaluates various predictors and risk factors, and provides guidance for subsequent efforts to explore more accurate predictive methods and to facilitate the conversion of risk factors into reliable predictors.
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Affiliation(s)
- Jian Li
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China; Department of General Surgery, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Xin Su
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China; Department of General Surgery, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Xiao Xu
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China; Department of General Surgery, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Changchun Zhao
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China; Department of General Surgery, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Ang Liu
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China; Department of General Surgery, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Liwen Yang
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China
| | - Baoling Song
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China
| | - Hao Song
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China
| | - Zihan Li
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou 730000, China
| | - Xiangyong Hao
- Department of General Surgery, Gansu Provincial Hospital, Lanzhou 730000, China.
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Ducreux M, Abou-Alfa GK, Bekaii-Saab T, Berlin J, Cervantes A, de Baere T, Eng C, Galle P, Gill S, Gruenberger T, Haustermans K, Lamarca A, Laurent-Puig P, Llovet JM, Lordick F, Macarulla T, Mukherji D, Muro K, Obermannova R, O'Connor JM, O'Reilly EM, Osterlund P, Philip P, Prager G, Ruiz-Garcia E, Sangro B, Seufferlein T, Tabernero J, Verslype C, Wasan H, Van Cutsem E. The management of hepatocellular carcinoma. Current expert opinion and recommendations derived from the 24th ESMO/World Congress on Gastrointestinal Cancer, Barcelona, 2022. ESMO Open 2023; 8:101567. [PMID: 37263081 PMCID: PMC10245111 DOI: 10.1016/j.esmoop.2023.101567] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 06/03/2023] Open
Abstract
This article summarises expert discussion on the management of patients with hepatocellular carcinoma (HCC), which took place during the 24th World Gastrointestinal Cancer Congress (WGICC) in Barcelona, July 2022. A multidisciplinary approach is mandatory to ensure an optimal diagnosis and staging of HCC, planning of curative and therapeutic options, including surgical, embolisation, ablative strategies, or systemic therapy. Furthermore, in many patients with HCC, underlying liver cirrhosis represents a challenge and influences the therapeutic options.
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Affiliation(s)
- M Ducreux
- Université Paris-Saclay, Gustave Roussy, Villejuif, France.
| | - G K Abou-Alfa
- Memorial Sloan Kettering Cancer Center, New York; Weill Cornell College of Medicine, New York, USA; Trinity College Dublin, Dublin, Ireland
| | | | - J Berlin
- Vanderbilt-Ingram Cancer Center, Nashville, USA
| | - A Cervantes
- INCLIVA, Biomedical Research Institute, Hospital Clínico Universitario, University of Valencia, Valencia, Spain
| | - T de Baere
- Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - C Eng
- Vanderbilt-Ingram Cancer Center, Nashville, USA
| | - P Galle
- University Medical Center Mainz, Mainz, Germany
| | - S Gill
- BC Cancer/University of British Columbia, Vancouver, Canada
| | - T Gruenberger
- Clinic Favoriten, HPB Center Health Network Vienna and Sigmund Freud University, Medical School, Vienna, Austria
| | - K Haustermans
- University Hospitals Gasthuisbergs, Leuven; Katholieke Universiteit Leuven, Leuven, Belgium
| | - A Lamarca
- Department of Oncology, OncoHealth Institute, Fundación Jiménez Díaz University Hospital, Madrid, Spain; Department of Medical Oncology, The Christie NHS Foundation, Manchester; Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - P Laurent-Puig
- Institut du cancer Paris CARPEM, APHP, Georges Pompidou Hospital, Université Paris Cité, Paris, France
| | - J M Llovet
- Icahn School of Medicine at Mount Sinai, Mount Sinai Liver Cancer Program, New York, USA; Institut d'Investigacions Biomèdiques August Pi i Sunyer Hospital Clínic, Universitat de Barcelona, Barcelona; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - F Lordick
- University of Leipzig Medical Center, Comprehensive Cancer Center Central Germany, Leipzig, Germany
| | - T Macarulla
- Vall d'Hebron Hospital Campus, Barcelona, Spain; Institute of Oncology, IOB-Quiron, UVic-UCC, Barcelona, Spain
| | - D Mukherji
- American University of Beirut, Beirut, Lebanon
| | - K Muro
- Aichi Cancer Center Hospital, Nagoya, Japan
| | - R Obermannova
- Masaryk Memorial Cancer Institute, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - J-M O'Connor
- Instituto Alexander Fleming, Buenos Aires, Argentina
| | - E M O'Reilly
- Memorial Sloan Kettering Cancer Center, New York; Weill Cornell College of Medicine, New York, USA
| | - P Osterlund
- Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden; Tampere University Hospital, University of Tampere, Tampere, Finland
| | - P Philip
- Henry Ford Cancer Institute, Departments of Oncology and Pharmacology, Wayne State University, Detroit, USA
| | - G Prager
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | | | - B Sangro
- Clinica Universidad de Navarra and CIBEREHD, Pamplona, Spain
| | | | - J Tabernero
- Vall d'Hebron Hospital Campus and Institute of Oncology, IOB-Quiron, UVic-UCC, Barcelona, Spain
| | - C Verslype
- University Hospitals Gasthuisbergs, Leuven; Katholieke Universiteit Leuven, Leuven, Belgium
| | - H Wasan
- Hammersmith Hospital, Imperial College London, London, UK
| | - E Van Cutsem
- University Hospitals Gasthuisbergs, Leuven; Katholieke Universiteit Leuven, Leuven, Belgium
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Shi H, Duan Y, Shi J, Zhang W, Liu W, Shen B, Liu F, Mei X, Li X, Yuan Z. Role of preoperative prediction of microvascular invasion in hepatocellular carcinoma based on the texture of FDG PET image: A comparison of quantitative metabolic parameters and MRI. Front Physiol 2022; 13:928969. [PMID: 36035488 PMCID: PMC9412047 DOI: 10.3389/fphys.2022.928969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/13/2022] [Indexed: 11/15/2022] Open
Abstract
Objective: To investigate the role of prediction microvascular invasion (mVI) in hepatocellular carcinoma (HCC) by 18F-FDG PET image texture analysis and hybrid criteria combining PET/CT and multi-parameter MRI. Materials and methods: Ninety-seven patients with HCC who received the examinations of MRI and 18F-FDG PET/CT were retrospectively included in this study and were randomized into training and testing cohorts. The lesion image texture features of 18F-FDG PET were extracted using MaZda software. The optimal predictive texture features of mVI were selected, and the classification procedure was conducted. The predictive performance of mVI by radiomics classier in training and testing cohorts was respectively recorded. Next, the hybrid model was developed by integrating the 18F-FDG PET image texture, metabolic parameters, and MRI parameters to predict mVI through logistic regression. Furthermore, the diagnostic performance of each time was recorded. Results: The 18F-FDG PET image radiomics classier showed good predicted performance in both training and testing cohorts to discriminate HCC with/without mVI, with an AUC of 0.917 (95% CI: 0.824–0.970) and 0.771 (95% CI: 0.578, 0.905). The hybrid model, which combines radiomics classier, SUVmax, ADC, hypovascular arterial phase enhancement pattern on contrast-enhanced MRI, and non-smooth tumor margin, also yielded better predictive performance with an AUC of 0.996 (95% CI: 0.939, 1.000) and 0.953 (95% CI: 0.883, 1.000). The differences in AUCs between radiomics classier and hybrid classier were significant in both training and testing cohorts (DeLong test, both p < 0.05). Conclusion: The radiomics classier based on 18F-FDG PET image texture and the hybrid classier incorporating 18F-FDG PET/CT and MRI yielded good predictive performance, which might provide a precise prediction of HCC mVI preoperatively.
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Affiliation(s)
- Huazheng Shi
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Ying Duan
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Jie Shi
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China
| | - Wenrui Zhang
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Weiran Liu
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Bixia Shen
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Fufu Liu
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Xin Mei
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
| | - Xiaoxiao Li
- Shanghai Universal Cloud Medical Imaging Diagnostic Center, Shanghai, China
- *Correspondence: Zheng Yuan, ; Xiaoxiao Li,
| | - Zheng Yuan
- Department of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Zheng Yuan, ; Xiaoxiao Li,
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Zhou X, Zhang Y, Zhao X, Zhou L, Jia X, Pan L, Koundal D. Application of PET/CT in Preoperative Evaluation and Diagnosis of Gastric Cancer. Computational and Mathematical Methods in Medicine 2022; 2022:1-7. [PMID: 35419077 PMCID: PMC9001069 DOI: 10.1155/2022/8974859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/29/2022] [Accepted: 02/08/2022] [Indexed: 11/17/2022]
Abstract
The aim study to study the significance of pet clinical examination image technology for early gastric mucosal adenocarcinoma, improve the accuracy and accuracy of image examination results of gastric cancer, and provide important reference significance and value for early treatment. Study methods, we used the experimental method of clinical medicine to obtain some reference data through the intervention of different image examinations on experimental patients of different groups and stages, These data show that the use of PET-CT imaging can improve the one-year survival rate of patients and reduce the one-year recurrence rate. Lymphatic metastasis rate and hematogenous metastasis rate, so as to highlight the advantages of PET-CT imaging.
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