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Ichikawa S, Sirlin CB, Cunha GM, Wolfson T, Fowler KJ, Morisaka H, Onohara K, Shimizu T, Omiya Y, Sugiyama H, Okumura A, Onishi H. Inter-observer agreement and accuracy of LI-RADS v2018 for differentiating tumor in vein from bland thrombus using gadoxetic acid-enhanced magnetic resonance imaging. Abdom Radiol (NY) 2023; 48:2557-2569. [PMID: 37246973 DOI: 10.1007/s00261-023-03964-4] [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: 02/20/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 05/30/2023]
Abstract
PURPOSE To assess inter-observer agreement and accuracy of LI-RADS v2018 for differentiating tumor in vein (TIV) from bland thrombus on gadoxetic acid-enhanced magnetic resonance imaging (Gx-MRI). Secondarily, to determine whether a multi-feature model improves accuracy compared to LI-RADS. METHODS We retrospectively identified consecutive patients at risk for hepatocellular carcinoma with venous occlusion(s) reported on Gx-MRI. Five radiologists independently classified each occlusion as TIV or bland thrombus using the LI-RADS TIV criterion (enhancing soft tissue in vein). They also evaluated imaging features suggestive of TIV or bland thrombus. Intra-class correlation coefficient (ICC) was calculated for individual features. A multi-feature model was developed based on consensus scores of features with > 5% consensus prevalence and > 0.40 ICC. Sensitivity and specificity of the LI-RADS criterion and of the cross-validated multi-feature model were compared. RESULTS Ninety-eight patients with 103 venous occlusions (58 TIV, 45 bland thrombus) were included. The LI-RADS criterion provided 0.63 ICC and, depending on the reader, 0.62-0.93 sensitivity and 0.87-1.00 specificity. Five other features had > 5% consensus prevalence and > 0.40 ICC, including three LI-RADS suggestive features and two non-LI-RADS features. The optimal multi-feature model incorporated the LI-RADS criterion and one LI-RADS suggestive feature (occluded or obscured vein contiguous with malignant parenchymal mass). After cross-validation, the multi-feature model did not improve sensitivity or specificity compared to the LI-RADS criterion (P = 0.23 and 0.25, respectively). CONCLUSION Using Gx-MRI, the LI-RADS criterion for TIV provides substantial inter-observer agreement, variable sensitivity, and high specificity for differentiating TIV from bland thrombus. A cross-validated multi-feature model did not improve diagnostic performance.
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Affiliation(s)
- Shintaro Ichikawa
- Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan.
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Guilherme Moura Cunha
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center at UCSD, San Diego, CA, USA
| | - Kathryn J Fowler
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Hiroyuki Morisaka
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Kojiro Onohara
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Tatsuya Shimizu
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Yoshie Omiya
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Hiroki Sugiyama
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Akihiro Okumura
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, Chuo, Yamanashi, Japan
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Chen QF, Li W, Yu SCH, Chou YH, Rhim H, Yang X, Shen L, Dong A, Huang T, Huang J, Zhang F, Fan W, Zhao M, Gu Y, Huang Z, Zuo M, Zhai B, Xiao Y, Kuang M, Li J, Han J, Song W, Ma J, Wu P. Consensus of Minimally Invasive and Multidisciplinary Comprehensive Treatment for Hepatocellular Carcinoma - 2020 Guangzhou Recommendations. Front Oncol 2021; 11:621834. [PMID: 34277397 PMCID: PMC8284077 DOI: 10.3389/fonc.2021.621834] [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: 10/27/2020] [Accepted: 06/15/2021] [Indexed: 12/24/2022] Open
Abstract
In China, the majority of patients with hepatocellular carcinoma (HCC) result from long-term infection of hepatitis B. Pathologically, HCC is characterized by rich blood supply, multicentric origins, early vascular invasion and intrahepatic metastasis. Therefore, HCC is not a local disease but a systemic disease at the beginning of its occurrence. For this reason, a comprehensive treatment strategy should be adopted in the management of HCC, including local treatments (such as surgical resection, radiofrequency ablation, microwave ablation, chemical ablation and cryoablation, etc.), organ-level treatments [such as transcatheter arterial infusion of chemotherapy and transcatheter arterial chemoembolization (TACE)], and systemic treatments (such as immunotherapy, antiviral therapy and molecular targeted therapy, etc.). This consensus sets forth the minimally-invasive and multidisciplinary comprehensive guideline of HCC, focusing on the following eight aspects (1) using hepaticarteriography, CT hepatic arteriography (CTHA), CT arterial portography (CTAP), lipiodol CT (Lp-CT), TACE-CT to find the intrahepatic lesion and make precise staging (2) TACE combined with ablation or ablation as the first choice of treatment for early stage or small HCC, while other therapies are considered only when ablation is not applicable (3) infiltrating HCC should be regarded as an independent subtype of HCC (4) minimally-invasive comprehensive treatment could be adopted in treating metastatic lymph nodes (5) multi-level subdivision of M-staging should be used for individualized treatment and predicting prognosis (6) HCC with severe hepatic decompensation is the only candidate criterion for liver transplantation (7) bio-immunotherapy, traditional Chinese medicine therapy, antiviral therapy, and psychosocial and psychopharmacological interventions should be advocated through the whole course of HCC treatment (8) implementation of multicenter randomized controlled trials of minimally-invasive therapy versus surgery for early and intermediate stage HCC is recommended.
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Affiliation(s)
- Qi-Feng Chen
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wang Li
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Simon Chun-Ho Yu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yi-Hong Chou
- Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, China.,Department of Radiology, Taipei General Hospital and School of Medicine, National YangMing University, Taipei, China.,Department of Radiology, Yeezen General Hospital, Taoyuan, China
| | - Hyunchul Rhim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Xiaoming Yang
- Image-Guided Bio-Molecular Intervention Research and Division of Vascular and Interventional Radiology, Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States
| | - Lujun Shen
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Annan Dong
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Tao Huang
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jinhua Huang
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Fujun Zhang
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Weijun Fan
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ming Zhao
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yangkui Gu
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhimei Huang
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Mengxuan Zuo
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bo Zhai
- Department of Surgery, Shanghai Jiaotong University School of Medicine Renji Hospital, Shanghai, China
| | - Yueyong Xiao
- Department of Radiology, The First Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Ming Kuang
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jiaping Li
- Department of Interventional Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jianjun Han
- Department of Intervention, Shandong Cancer Hospital, Jinan, China
| | - Wei Song
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jie Ma
- Department of Biotherapy, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Peihong Wu
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
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Karaosmanoglu AD, Onur MR, Uysal A, Akata D, Ozmen MN, Karcaaltincaba M. Tumor in the veins: an abdominal perspective with an emphasis on CT and MR imaging. Insights Imaging 2020; 11:52. [PMID: 32215762 PMCID: PMC7096619 DOI: 10.1186/s13244-020-00854-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 03/02/2020] [Indexed: 02/06/2023] Open
Abstract
Endovenous tumor thrombus in abdomen should be accurately diagnosed as it is a significant finding that may change medical and surgical treatment approaches. As some underlying reasons for endovenous tumor thrombi are relatively rare and imaging findings may be quite subtle, they can be easily overlooked which may have important clinical consequences. In this paper, we described the various imaging aspects of endovenous tumor thrombi originating from various tumor types in different venous structures of the abdomen.
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Affiliation(s)
| | - Mehmet Ruhi Onur
- Department of Radiology, Hacettepe University School of Medicine, 06100, Ankara, Turkey.
| | - Aycan Uysal
- Department of Radiology, Gulhane Training and Research Hospital, 06010, Ankara, Turkey
| | - Deniz Akata
- Department of Radiology, Hacettepe University School of Medicine, 06100, Ankara, Turkey
| | - Mustafa Nasuh Ozmen
- Department of Radiology, Hacettepe University School of Medicine, 06100, Ankara, Turkey
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