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Fowler et al. Hepatoma Res 2020;6:19                             Hepatoma Research
               DOI: 10.20517/2394-5079.2020.21


               Review                                                                        Open Access


               Diagnosing non-hepatocellular carcinoma
               malignancies on CT/MRI and contrast enhanced
               ultrasound: the Liver Imaging Reporting and Data
               System approach



               Kathryn J. Fowler , Guilherme Moura Cunha , Tae Kyoung Kim
                                                                    2
                              1
                                                     1
               1 Department of Diagnostic Radiology, University of California at San Diego, San Diego, CA 92130, USA.
               2 University of Toronto, Joint Department of Medical Imaging, University Health Network/Mount Sinai Hospital/Women’s
               College Hospital, Toronto M5G 2N2, Canada.
               Correspondence to: Dr. Kathryn J. Fowler, Department of Diagnostic Radiology, University of California at San Diego, 200 West
               Arbor Drive #8756, San Diego, CA 92130, USA. E-mail: k1fowler@health.ucsd.edu
               How to cite this article: Fowler KJ, Cunha GM, Kim TK. Diagnosing non-hepatocellular carcinoma malignancies on CT/MRI and
               contrast enhanced ultrasound: the Liver Imaging Reporting and Data System approach. Hepatoma Res 2020;6:19.
               http://dx.doi.org/10.20517/2394-5079.2020.21

               Received: 2 Mar 2020    First Decision: 16 Apr 2020    Revised: 20 Apr 2020    Accepted: 24 Apr 2020    Published: 28 Apr 2020

               Science Editor: Yuko Kono   Copy Editor: Jing-Wen Zhang    Production Editor: Tian Zhang

               Abstract
               The Liver Imaging Reporting and Data System (LI-RADS) provides a stepwise algorithmic approach that is proven
               to be highly accurate in diagnosing hepatocellular carcinoma (HCC) in patients at risk. An essential and early
               step in the algorithm is the diagnosis of malignancies other than HCC, such as cholangiocarcinoma and combined
               tumors, by application of LR-M features and criteria. The LR-M category captures most non-HCC malignancies
               and some atypical HCCs. The exclusion of non-HCC malignancies is important for maintaining the high specificity
               of the LR-5, definite HCC category. This review provides an overview of the approach to diagnosing non-HCC
               malignancies using LI-RADS CT/MRI and contrast enhanced ultrasound algorithms.

               Keywords: Magnetic resonance imaging, computer tomography, contrast-enhanced ultrasound




               INTRODUCTION
               According to most major liver societies, screening/surveillance imaging is recommended for patients with
               cirrhosis to detect early stage hepatocellular carcinoma (HCC). While HCC is the most common primary
               liver malignancy, cirrhosis and chronic viral hepatitis also place patients at risk for non-HCC malignancies
               such as intrahepatic cholangiocarcinoma (iCCA) and combined hepatocellular-cholangiocarcinomas
                           [1,2]
               (cHCC-CCA) . As a result, these non-HCC malignancies are occasionally found on surveillance imaging


                           © 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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