Literature DB >> 32990512

Interobserver Variability and Diagnostic Performance of Gadoxetic Acid-enhanced MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma.

Ji Hye Min1, Min Woo Lee1, Hee Sun Park1, Dong Ho Lee1, Hyun Jeong Park1, Sanghyeok Lim1, Seo-Youn Choi1, Jisun Lee1, Ji Eun Lee1, Sang Yun Ha1, Dong Ik Cha1, Keumhee Chough Carriere1, Joong Hyun Ahn1.   

Abstract

Background Accurate identification of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) before treatment is critical for selecting a proper treatment strategy. Purpose To evaluate the interobserver agreement and the diagnostic performance of the MRI assessment of MVI in HCC according to the level of radiologist experience. Materials and Methods This retrospective study included 100 patients with surgically confirmed HCCs smaller than 5 cm who underwent gadoxetic acid-enhanced MRI between 2013 and 2016. Eight postfellowship radiologists (four with 7-13 years of experience [more experienced] and four with 3-6 years of experience [less experienced]) evaluated four imaging features (nonsmooth tumor margin, irregular rim-like enhancement in the arterial phase, peritumoral arterial phase hyperenhancement, peritumoral hepatobiliary phase hypointensity) and assigned the possibility of MVI. Interobserver agreement was determined by using Fleiss κ statistics according to reviewer experience and tumor size (≤3 cm vs >3 cm). With reference standards of histopathologic specimens, the diagnostic performance in the identification of MVI was assessed by using receiver operating characteristic curve analysis. Results In 100 patients (mean age, 58 years ± 10 [standard deviation]; 70 men) with 100 HCCs (mean size, 2.8 cm ± 0.9), 39 (39%) HCCs had MVI. The overall interobserver agreement was fair to moderate for the imaging features and their combinations (κ = 0.38-0.47) and MVI probability (κ = 0.41; 95% confidence interval: 0.33, 0.45). More experienced reviewers demonstrated higher agreement in MVI probability than less experienced reviewers (κ = 0.55 vs 0.36, respectively; P = .002). Diagnostic performance of each reviewer was modest for MVI prediction (area under the receiver operating characteristic curve [AUC] range, 0.60-0.74). The AUCs for the diagnosis of MVI were lower for HCCs larger than 3 cm (range, 0.55-0.69) than for those less than or equal to 3 cm (range, 0.59-0.75). Conclusion Considerable interobserver variability exists in the assessment of microvascular invasion in hepatocellular carcinoma using MRI, even for more experienced radiologists. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Tang in this issue.

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Year:  2020        PMID: 32990512     DOI: 10.1148/radiol.2020201940

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

Review 1.  Tumor in vein (LR-TIV) and liver imaging reporting and data system (LI-RADS) v2018: diagnostic features, pitfalls, prognostic and management implications.

Authors:  Roberta Catania; Kalina Chupetlovska; Amir A Borhani; Ekta Maheshwari; Alessandro Furlan
Journal:  Abdom Radiol (NY)       Date:  2021-09-14

2.  Evaluation of perfusion CT and dual-energy CT for predicting microvascular invasion of hepatocellular carcinoma.

Authors:  Maïté Lewin; Astrid Laurent-Bellue; Christophe Desterke; Adina Radu; Joëlle Ann Feghali; Jad Farah; Hélène Agostini; Jean-Charles Nault; Eric Vibert; Catherine Guettier
Journal:  Abdom Radiol (NY)       Date:  2022-04-13

Review 3.  Gadoxetate-Enhanced MRI as a Diagnostic Tool in the Management of Hepatocellular Carcinoma: Report from a 2020 Asia-Pacific Multidisciplinary Expert Meeting.

Authors:  Cher Heng Tan; Shu-Cheng Chou; Nakarin Inmutto; Ke Ma; RuoFan Sheng; YingHong Shi; Zhongguo Zhou; Akira Yamada; Ryosuke Tateishi
Journal:  Korean J Radiol       Date:  2022-05-09       Impact factor: 7.109

4.  A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma.

Authors:  Huanhuan Wang; Ye Lu; Runkun Liu; Liang Wang; Qingguang Liu; Shaoshan Han
Journal:  Front Oncol       Date:  2021-12-24       Impact factor: 6.244

5.  Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma.

Authors:  Yan Yang; WeiJie Fan; Tao Gu; Li Yu; HaiLing Chen; YangFan Lv; Huan Liu; GuangXian Wang; Dong Zhang
Journal:  Front Oncol       Date:  2021-10-07       Impact factor: 6.244

6.  Multi-frequency magnetic resonance elastography of the pancreas: measurement reproducibility and variance among healthy volunteers.

Authors:  Si-Ya Shi; Liqin Wang; Zhenpeng Peng; Yangdi Wang; Zhi Lin; Xuefang Hu; Jiaxin Yuan; Li Huang; Shi-Ting Feng; Yanji Luo
Journal:  Gastroenterol Rep (Oxf)       Date:  2022-07-29

7.  Diagnostic Accuracy of the Apparent Diffusion Coefficient for Microvascular Invasion in Hepatocellular Carcinoma: A Meta-analysis.

Authors:  Yuhui Deng; Jisheng Li; Hui Xu; Ahong Ren; Zhenchang Wang; Dawei Yang; Zhenghan Yang
Journal:  J Clin Transl Hepatol       Date:  2022-01-04

8.  Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI.

Authors:  Hanyu Jiang; Jingwei Wei; Fangfang Fu; Hong Wei; Yun Qin; Ting Duan; Weixia Chen; Kunlin Xie; Jeong Min Lee; Mustafa R Bashir; Meiyun Wang; Bin Song; Jie Tian
Journal:  Liver Int       Date:  2022-03-11       Impact factor: 8.754

Review 9.  HCC: role of pre- and post-treatment tumor biology in driving adverse outcomes and rare responses to therapy.

Authors:  Sandeep Arora; Roberta Catania; Amir Borhani; Natally Horvat; Kathryn Fowler; Carla Harmath
Journal:  Abdom Radiol (NY)       Date:  2021-06-30
  9 in total

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