Literature DB >> 30257054

Validation of Liver Imaging Reporting and Data System 2017 (LI-RADS) Criteria for Imaging Diagnosis of Hepatocellular Carcinoma.

Andrea S Kierans1, Jasnit Makkar2, Preethi Guniganti1, Joshua Cornman-Homonoff1, Michael J Lee3, Meredith Pittman4, Gulce Askin5, Elizabeth M Hecht2.   

Abstract

BACKGROUND: The Liver Imaging Reporting and Data System (LI-RADS) is being adapted by many clinical practices. To support continuation of its use, LI-RADS (LR) is in need of multicenter validation studies of recent LI-RADS iterations. Furthermore, while both gadoxetate and extracellular agents have been incorporated into LI-RADS, comparison of the diagnostic performance between the two has yet to be determined. PURPOSE/HYPOTHESIS: To evaluate the rate, diagnostic performance, and interreader reliability (IRR) of LI-RADS 2017 for hepatocellular carcinoma, including LR major and ancillary features, with both gadoxetate and extracellular agent-enhanced MRI against a reference standard of histopathology or imaging follow-up. STUDY TYPE: Retrospective. POPULATION: In all, 114 patients with 144 observations were included who met LR 2017 criteria for at risk and had at least one hepatic observation on liver MRI performed with either gadoxetate (n = 52) or an extracellular agent (n = 92) between 2010-2016, with histopathology (n = 103) or follow-up imaging (n = 41). FIELD STRENGTH/SEQUENCE: 1.5 and 3.0T/T1 -T2 WI, diffusion-weighted imaging. ASSESSMENT: Three radiologists independently assessed major/ancillary features and assigned overall LI-RADS category for every observation. STATISTICAL TESTS: Diagnostic performance of LR5/TIV+LR5 for identifying hepatocellular carcinoma (HCC) was compared between contrast agents with a generalized estimating equation. Weighted kappa was performed for interrater reliability.
RESULTS: The frequency of HCCs among LR1, LR2, LR3, L4, LR5, LRTIV+LR5, and LRM observations were: 0% (all readers), 0-12.5%, 11.4-26.9%, 50-76%, 83.0-95.1%, 83.3-100.0%, and 45.0-65.0%, respectively. Sensitivity of LR5/LRTIV+LR5 for HCC was 59.7-71.4% and specificity 85.0-96.8%. LI-RADS specificity and positive predictive value for observations imaged with gadoxetate was higher than extracellular agent for the most inexperienced reader (R3) (P = 0.009-0.034). IRR for LI-RADS categorization was substantial (k = 0.661). DATA
CONCLUSION: Increasing numerical LI-RADS 2017 categories demonstrate a greater percentage of HCCs. LR5/TIV+LR5 demonstrates excellent specificity and fair sensitivity for HCC. MRI with gadoxetate in liver transplant candidates may be beneficial for less experienced readers, although further large-scale prospective studies are needed. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:e205-e215.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  LI-RADs 2017; gadoxetate disodium; hepatocellular carcinoma

Year:  2018        PMID: 30257054     DOI: 10.1002/jmri.26329

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

1.  Increasing the sensitivity of LI-RADS v2018 for diagnosis of small (10-19 mm) HCC on extracellular contrast-enhanced MRI.

Authors:  Jingbiao Chen; Sichi Kuang; Yao Zhang; Wenjie Tang; Sidong Xie; Linqi Zhang; Dailin Rong; Bingjun He; Ying Deng; Yuanqiang Xiao; Wenqi Shi; Kathryn Fowler; Jin Wang; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2020-10-11

2.  LI-RADS ancillary features favoring benignity: is there a role in LR-5 observations?

Authors:  Roberto Cannella; Federica Vernuccio; Michela Antonucci; Domenico Salvatore Gagliano; Francesco Matteini; Massimo Midiri; Giuseppe Brancatelli
Journal:  Eur Radiol       Date:  2021-09-20       Impact factor: 7.034

3.  Diagnostic Performance of LI-RADS Version 2018 for Primary Liver Cancer in Patients With Liver Cirrhosis on Enhanced MRI.

Authors:  Xinai Liu; Xiaoyan Ni; Yubo Li; Chun Yang; Yi Wang; Chunzheng Ma; Changwu Zhou; Xin Lu
Journal:  Front Oncol       Date:  2022-07-01       Impact factor: 5.738

4.  Interrater reliability and agreement of the liver imaging reporting and data system (LI-RADS) v2018 for the evaluation of hepatic lesions.

Authors:  Ahmed S Abdelrahman; Sherihan S Madkour; Mena E Y Ekladious
Journal:  Pol J Radiol       Date:  2022-06-13

5.  Assessment of primary liver carcinomas other than hepatocellular carcinoma (HCC) with LI-RADS v2018: comparison of the LI-RADS target population to patients without LI-RADS-defined HCC risk factors.

Authors:  Tyler J Fraum; Roberto Cannella; Daniel R Ludwig; Richard Tsai; Muhammad Naeem; Maverick LeBlanc; Amber Salter; Allan Tsung; Anup S Shetty; Amir A Borhani; Alessandro Furlan; Kathryn J Fowler
Journal:  Eur Radiol       Date:  2019-10-25       Impact factor: 5.315

6.  Diagnostic performance of the LR-M criteria and spectrum of LI-RADS imaging features among primary hepatic carcinomas.

Authors:  Seung-Seob Kim; Sunyoung Lee; Jin-Young Choi; Joon Seok Lim; Mi-Suk Park; Myeong-Jin Kim
Journal:  Abdom Radiol (NY)       Date:  2020-11

Review 7.  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

8.  Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma.

Authors:  Hanyu Jiang; Xijiao Liu; Jie Chen; Yi Wei; Jeong Min Lee; Likun Cao; Yuanan Wu; Ting Duan; Xin Li; Ling Ma; Bin Song
Journal:  Cancer Imaging       Date:  2019-12-05       Impact factor: 3.909

9.  An overview of hepatocellular carcinoma with atypical enhancement pattern: spectrum of magnetic resonance imaging findings with pathologic correlation.

Authors:  Jelena Djokic Kovac; Aleksandar Ivanovic; Tamara Milovanovic; Marjan Micev; Francesco Alessandrino; Richard M Gore
Journal:  Radiol Oncol       Date:  2021-01-29       Impact factor: 2.991

Review 10.  Pearls and pitfalls in magnetic resonance imaging of hepatocellular carcinoma.

Authors:  Jelena Djokic Kovac; Tamara Milovanovic; Vladimir Dugalic; Igor Dumic
Journal:  World J Gastroenterol       Date:  2020-05-07       Impact factor: 5.742

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