Literature DB >> 30445016

Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy-A Systematic Review.

Christian B van der Pol1, Christopher S Lim2, Claude B Sirlin3, Trevor A McGrath4, Jean-Paul Salameh5, Mustafa R Bashir6, An Tang7, Amit G Singal8, Andreu F Costa9, Kathryn Fowler10, Matthew D F McInnes11.   

Abstract

BACKGROUND & AIMS: The Liver Imaging Reporting and Data System (LI-RADS) categorizes observations from imaging analyses of high-risk patients based on the level of suspicion for hepatocellular carcinoma (HCC) and overall malignancy. The categories range from definitely benign (LR-1) to definitely HCC (LR-5), malignancy (LR-M), or tumor in vein (LR-TIV) based on findings from computed tomography or magnetic resonance imaging. However, the actual percentage of HCC and overall malignancy within each LI-RADS category is not known. We performed a systematic review to determine the percentage of observations in each LI-RADS category for computed tomography and magnetic resonance imaging that are HCCs or malignancies.
METHODS: We searched the MEDLINE, Embase, Cochrane CENTRAL, and Scopus databases from 2014 through 2018 for studies that reported the percentage of observations in each LI-RADS v2014 and v2017 category that were confirmed as HCCs or other malignancies based on pathology, follow-up imaging analyses, or response to treatment (reference standard). Data were assessed on a per-observation basis. Random-effects models were used to determine the pooled percentages of HCC and overall malignancy for each LI-RADS category. Differences between categories were compared by analysis of variance of logit-transformed percentage of HCC and overall malignancy. Risk of bias and concerns about applicability were assessed with the Quality Assessment of Diagnostic Accuracy Studies 2 tool.
RESULTS: Of 454 studies identified, 17 (all retrospective studies) were included in the final analysis, consisting of 2760 patients, 3556 observations, and 2482 HCCs. The pooled percentages of observations confirmed as HCC and overall malignancy, respectively, were 94% (95% confidence interval [CI] 92%-96%) and 97% (95% CI 95%-99%) for LR-5, 74% (95% CI 67%-80%) and 80% (95% CI 75%-85%) for LR-4, 38% (95% CI 31%-45%) and 40% (95% CI 31%-50%) for LR-3, 13% (95% CI 8%-22%) and 14% (95% CI 9%-21%) for LR-2, 79% (95% CI 63%-89%) and 92% (95% CI 77%-98%) for LR-TIV, and 36% (95% CI 26%-48%) and 93% (95% CI 87%-97%) for LR-M. No malignancies were found in the LR-1 group. The percentage of HCCs and overall malignancies confirmed differed significantly among LR groups 2-5 (P < .00001). Patient selection was the most frequent factor that affected bias risk, because of verification bias and case-control study design.
CONCLUSIONS: In a systematic review, we found that increasing LI-RADS categories contained increasing percentages of HCCs and overall malignancy based on reference standard confirmation. Of observations categorized as LR-M, 93% were malignancies and 36% were confirmed as HCCs. The percentage of HCCs found in the LR-2 and LR-3 categories indicate the need for a more active management strategy than currently recommended. Prospective studies are needed to validate these findings. PROSPERO number CRD42018087441.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed Tomography; Liver Cancer; Magnetic Resonance Imaging; Risk Assessment

Mesh:

Year:  2018        PMID: 30445016     DOI: 10.1053/j.gastro.2018.11.020

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  55 in total

1.  Functional Genetic Screening Enables Theranostic Molecular Imaging in Cancer.

Authors:  Nicholas R Perkons; Omar Johnson; Gabrielle Pilla; Enri Profka; Michael Mercadante; Daniel Ackerman; Terence P F Gade
Journal:  Clin Cancer Res       Date:  2020-06-04       Impact factor: 12.531

2.  Evaluation of LI-RADS 3 category by magnetic resonance in US-detected nodules ≤ 2 cm in cirrhotic patients.

Authors:  Anna Darnell; Jordi Rimola; Ernest Belmonte; Enric Ripoll; Ángeles Garcia-Criado; Carla Caparroz; Álvaro Díaz-González; Ramón Vilana; María Reig; Carmen Ayuso; Jordi Bruix; Alejandro Forner
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

Review 3.  Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System.

Authors:  Sonal Krishan; Radha K Dhiman; Navin Kalra; Raju Sharma; Sanjay S Baijal; Anil Arora; Ajay Gulati; Anu Eapan; Ashish Verma; Shyam Keshava; Amar Mukund; S Deva; Ravi Chaudhary; Karthick Ganesan; Sunil Taneja; Ujjwal Gorsi; Shivanand Gamanagatti; Kumble S Madhusudan; Pankaj Puri; Shallini Govil; Manav Wadhavan; Sanjiv Saigal; Ashish Kumar; Shallini Thapar; Ajay Duseja; Neeraj Saraf; Anubhav Khandelwal; Sumit Mukhopadyay; Ajay Gulati; Nitin Shetty; Nipun Verma
Journal:  J Clin Exp Hepatol       Date:  2019-08-06

Review 4.  LI-RADS and transplantation: challenges and controversies.

Authors:  Guilherme M Cunha; Dorathy E Tamayo-Murillo; Kathryn J Fowler
Journal:  Abdom Radiol (NY)       Date:  2021-01

5.  LI-RADS Version 2018 Treatment Response Algorithm: The Evidence Is Accumulating.

Authors:  Richard K Do; Mishal Mendiratta-Lala
Journal:  Radiology       Date:  2019-12-17       Impact factor: 11.105

6.  Use of CEUS LI-RADS for the Accurate Diagnosis of Nodules in Patients at Risk for Hepatocellular Carcinoma: A Validation Study.

Authors:  Alina Makoyeva; Tae Kyoung Kim; Hyun-Jung Jang; Alejandra Medellin; Stephanie R Wilson
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

Review 7.  Hepatocellular carcinoma.

Authors:  Josep M Llovet; Robin Kate Kelley; Augusto Villanueva; Amit G Singal; Eli Pikarsky; Sasan Roayaie; Riccardo Lencioni; Kazuhiko Koike; Jessica Zucman-Rossi; Richard S Finn
Journal:  Nat Rev Dis Primers       Date:  2021-01-21       Impact factor: 52.329

Review 8.  Up-to-Date Role of CT/MRI LI-RADS in Hepatocellular Carcinoma.

Authors:  Guilherme Moura Cunha; Victoria Chernyak; Kathryn J Fowler; Claude B Sirlin
Journal:  J Hepatocell Carcinoma       Date:  2021-05-31

9.  Predictive factors of truncation artifacts in the arterial phase of Gd-EOB-DTPA-enhanced MRI: a nationwide multicenter study.

Authors:  Masakatsu Tsurusaki; Keitaro Sofue; Hiromitsu Onishi; Satoshi Goshima; Atsushi Higaki; Hiroyoshi Isoda; Hiroki Haradome; Kazunari Ishii; Takamichi Murakami
Journal:  Jpn J Radiol       Date:  2020-10-06       Impact factor: 2.374

Review 10.  Biomarkers: What Role Do They Play (If Any) for Diagnosis, Prognosis and Tumor Response Prediction for Hepatocellular Carcinoma?

Authors:  James J Harding; Danny N Khalil; Ghassan K Abou-Alfa
Journal:  Dig Dis Sci       Date:  2019-04       Impact factor: 3.199

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