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Kanmaniraja et al. Hepatoma Res 2020;6:51                        Hepatoma Research
               DOI: 10.20517/2394-5079.2020.46




               Review                                                                        Open Access


               Liver imaging reporting and data system and CT/MRI
               diagnosis of hepatocellular carcinoma



               Devaraju Kanmaniraja, Victoria Chernyak

               Radiology, Montefiore Medical Center, The Bronx, New York, NY 10467, USA.
               Correspondence to: Prof. Victoria Chernyak, Radiology, Montefiore Medical Center, The Bronx, 111 East 210th St Bronx, New
               York, NY 10467, USA. E-mail: vichka17@hotmail.com

               How to cite this article:  Kanmaniraja D, Chernyak V. Liver imaging reporting and data system and CT/MRI diagnosis of
               hepatocellular carcinoma. Hepatoma Res 2020;6:51. http://dx.doi.org/10.20517/2394-5079.2020.46

               Received: 29 Apr 2020    First Decision: 11 Jun 2020    Revised: 21 Jun 2020    Accepted: 24 Jun 2020    Published: 15 Aug 2020

               Academic Editor: Yuko Kono    Copy Editor: Cai-Hong Wang    Production Editor: Jing Yu


               Abstract
               The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive and robust system which provides
 Received:     First Decision:     Revised:     Accepted:    Published:    an algorithmic approach to stratify the probability of hepatocellular carcinoma (HCC) for each observation found
               in patients at risk for HCC. LI-RADS uses a standardized terminology and approach to improve communication
 Science Editor:     Copy Editor:     Production Editor: Jing Yu   between the radiologist and clinicians. LI-RADS version 2018 is noteworthy for its adoption by the American
               Association for the Study of Liver Disease into its HCC practice guidance. This manuscript provides an overview
               of the history of LI-RADS, reviews the Computed tomography/magnetic resonance imaging diagnostic algorithm,
               highlights the key diagnostic criteria for each category, and discusses the advantage of incorporating LI-RADS in
               clinical practice.

               Keywords: Liver Imaging Reporting and Data System, hepatocellular carcinoma, cirrhosis, hepatocellular carcinoma
               diagnosis




               INTRODUCTION
                                                                                        [1]
               Hepatocellular cancer (HCC) is the most common primary malignancy of the liver . It is the fifth most
                                                                              [1,2]
               common cancer in the world and fourth leading cause of cancer mortality . The incidence of HCC in the
                                                                                                [3,4]
               United States has been rapidly rising over the last 20 years and predicted to increase until 2030 . Imaging
               plays a critical role in the management of HCC, as the diagnosis of HCC is usually made non-invasively in
               the appropriate at-risk patient population, based on imaging features alone without the need of pathologic


                           © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
                as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
                and indicate if changes were made.


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