Literature DB >> 30326302

Introduction to the Liver Imaging Reporting and Data System for Hepatocellular Carcinoma.

An Tang1, Amit G Singal2, Donald G Mitchell3, Elizabeth M Hecht4, Kathryn J Fowler5, Laura Kulik6, Neehar D Parikh7, Yuko Kono8, Claude B Sirlin9.   

Abstract

The Liver Imaging Reporting And Data System (LI-RADS) was created with the support of the American College of Radiology (ACR) to standardize the acquisition, interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). A comprehensive and rigorous system developed by radiologists, hepatologists, pathologists, and surgeons, LI-RADS addresses a wide range of imaging contexts. Currently, 4 algorithms are available publicly on the ACR website: ultrasound for HCC surveillance, computed tomography and magnetic resonance imaging for HCC diagnosis and tumor staging, contrast-enhanced ultrasound for HCC diagnosis, and computed tomography/magnetic resonance imaging for treatment response assessment. Each algorithm is supported by a decision tree, categorization table, lexicon, atlas, technical requirements, and reporting and management guidance. Category codes reflecting the relative probability of HCC and malignancy are assigned to imaging-detected liver observations, with emerging evidence suggesting that LI-RADS accurately stratifies HCC and malignancy probabilities. LI-RADS is an evolving system and has been updated and refined iteratively since 2011 based on scientific evidence, expert opinion, and user feedback, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Concurrent with its most recent update, LI-RADS was integrated into the American Association for the Study of Liver Diseases HCC guidance released in 2018. We anticipate continued refinement of LI-RADS and progressive adoption by radiologists worldwide, with the eventual goal of culminating in a single unified system for international use.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnosis; Surveillance; Treatment Response

Mesh:

Year:  2018        PMID: 30326302     DOI: 10.1016/j.cgh.2018.10.014

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


  11 in total

Review 1.  Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma.

Authors:  Emily Harding-Theobald; Jeremy Louissaint; Bharat Maraj; Edward Cuaresma; Whitney Townsend; Mishal Mendiratta-Lala; Amit G Singal; Grace L Su; Anna S Lok; Neehar D Parikh
Journal:  Aliment Pharmacol Ther       Date:  2021-08-12       Impact factor: 9.524

2.  Correlation of LI-RADS 3 or 4 Observations with Histopathologic Diagnosis in Patients with Cirrhosis.

Authors:  Colin Dunn; Bo Lin; Nicole E Rich; Madhukar S Patel; Purva Gopal; Amit G Singal
Journal:  Clin Gastroenterol Hepatol       Date:  2022-03-17       Impact factor: 13.576

3.  Risk of Hepatocellular Carcinoma in Patients With Indeterminate (LI-RADS 3) Liver Observations.

Authors:  Ashwini Arvind; Sagar Joshi; Timothy Zaki; Daniel Burkholder; Neehar D Parikh; Amit G Singal
Journal:  Clin Gastroenterol Hepatol       Date:  2021-12-10       Impact factor: 13.576

4.  MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma.

Authors:  Valentina Brancato; Nunzia Garbino; Marco Salvatore; Carlo Cavaliere
Journal:  Diagnostics (Basel)       Date:  2022-04-26

Review 5.  Detect or not to detect very early stage hepatocellular carcinoma? The western perspective.

Authors:  Ju Dong Yang
Journal:  Clin Mol Hepatol       Date:  2019-03-29

Review 6.  Controversies in the management of hepatocellular carcinoma.

Authors:  Alejandro Forner; Leonardo G Da Fonseca; Álvaro Díaz-González; Marco Sanduzzi-Zamparelli; María Reig; Jordi Bruix
Journal:  JHEP Rep       Date:  2019-03-18

7.  Diagnostic efficacy of dynamic liver imaging using qualitative diagnostic algorithm versus LI-RADS v2018 lexicon for atypical versus classical HCC lesions: A decade of experience from a tertiary liver institute.

Authors:  Shalini Thapar Laroia; Komal Yadav; Archana Rastogi; Guresh Kumar; Senthil Kumar; Shiv Kumar Sarin
Journal:  Eur J Radiol Open       Date:  2020-02-12

8.  The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.

Authors:  Gehad Ahmad Saleh; Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Walaa Shabana; Rihame Abd El-Wahab
Journal:  Pol J Radiol       Date:  2022-01-17

9.  Spontaneous regression of hepatocellular carcinoma: what three cases of regression and disease reoccurrence can tell US.

Authors:  Meghana Ghattu; Bjorn I Engstrom; Ibrahim A Hanouneh
Journal:  Radiol Case Rep       Date:  2022-07-21

Review 10.  Conceptual Model for the Hepatocellular Carcinoma Screening Continuum: Current Status and Research Agenda.

Authors:  Amit G Singal; Anna S Lok; Ziding Feng; Fasiha Kanwal; Neehar D Parikh
Journal:  Clin Gastroenterol Hepatol       Date:  2020-09-19       Impact factor: 11.382

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.