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Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview
Hepatocellular carcinoma (HCC) is the sixth most common cancer. The main risk factors associated with HCC development include hepatitis B virus, hepatitis C virus, alcohol consumption, aflatoxin B1, and nonalcoholic fatty liver disease. However, hepatocarcinogenesis is a complex multistep process. V...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476877/ https://www.ncbi.nlm.nih.gov/pubmed/36157932 http://dx.doi.org/10.3748/wjg.v28.i32.4540 |
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author | Liava, Christina Sinakos, Emmanouil Papadopoulou, Elissavet Giannakopoulou, Lamprini Potsi, Stamatia Moumtzouoglou, Anestis Chatziioannou, Anthi Stergioulas, Loukas Kalogeropoulou, Lydia Dedes, Ioannis Akriviadis, Evangelos Chourmouzi, Danai |
author_facet | Liava, Christina Sinakos, Emmanouil Papadopoulou, Elissavet Giannakopoulou, Lamprini Potsi, Stamatia Moumtzouoglou, Anestis Chatziioannou, Anthi Stergioulas, Loukas Kalogeropoulou, Lydia Dedes, Ioannis Akriviadis, Evangelos Chourmouzi, Danai |
author_sort | Liava, Christina |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is the sixth most common cancer. The main risk factors associated with HCC development include hepatitis B virus, hepatitis C virus, alcohol consumption, aflatoxin B1, and nonalcoholic fatty liver disease. However, hepatocarcinogenesis is a complex multistep process. Various factors lead to hepatocyte malignant transformation and HCC development. Diagnosis and surveillance of HCC can be made with the use of liver ultrasound (US) every 6 mo. However, the sensitivity of this imaging method to detect HCC in a cirrhotic liver is limited, due to the abnormal liver parenchyma. Computed tomography (CT) and magnetic resonance imaging (MRI) are considered to be most useful tools for at-risk patients or patients with inadequate US. Liver biopsy is still used for diagnosis and prognosis of HCC in specific nodules that cannot be definitely characterized as HCC by imaging. Recently the American College of Radiology designed the Liver Imaging Reporting and Data System (LI-RADS), which is a comprehensive system for standardized interpretation of CT and MRI liver examinations that was first proposed in 2011. In 2018, it was integrated into the American Association for the Study of Liver Diseases guidance statement for HCC. LI-RADS is designed to ensure high sensitivity, precise categorization, and high positive predictive value for the diagnosis of HCC and is applied to “high-risk populations” according to specific criteria. Most importantly LI-RADS criteria achieved international collaboration and consensus among liver experts around the world on the best practices for caring for patients with or at risk for HCC. |
format | Online Article Text |
id | pubmed-9476877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-94768772022-09-23 Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview Liava, Christina Sinakos, Emmanouil Papadopoulou, Elissavet Giannakopoulou, Lamprini Potsi, Stamatia Moumtzouoglou, Anestis Chatziioannou, Anthi Stergioulas, Loukas Kalogeropoulou, Lydia Dedes, Ioannis Akriviadis, Evangelos Chourmouzi, Danai World J Gastroenterol Minireviews Hepatocellular carcinoma (HCC) is the sixth most common cancer. The main risk factors associated with HCC development include hepatitis B virus, hepatitis C virus, alcohol consumption, aflatoxin B1, and nonalcoholic fatty liver disease. However, hepatocarcinogenesis is a complex multistep process. Various factors lead to hepatocyte malignant transformation and HCC development. Diagnosis and surveillance of HCC can be made with the use of liver ultrasound (US) every 6 mo. However, the sensitivity of this imaging method to detect HCC in a cirrhotic liver is limited, due to the abnormal liver parenchyma. Computed tomography (CT) and magnetic resonance imaging (MRI) are considered to be most useful tools for at-risk patients or patients with inadequate US. Liver biopsy is still used for diagnosis and prognosis of HCC in specific nodules that cannot be definitely characterized as HCC by imaging. Recently the American College of Radiology designed the Liver Imaging Reporting and Data System (LI-RADS), which is a comprehensive system for standardized interpretation of CT and MRI liver examinations that was first proposed in 2011. In 2018, it was integrated into the American Association for the Study of Liver Diseases guidance statement for HCC. LI-RADS is designed to ensure high sensitivity, precise categorization, and high positive predictive value for the diagnosis of HCC and is applied to “high-risk populations” according to specific criteria. Most importantly LI-RADS criteria achieved international collaboration and consensus among liver experts around the world on the best practices for caring for patients with or at risk for HCC. Baishideng Publishing Group Inc 2022-08-28 2022-08-28 /pmc/articles/PMC9476877/ /pubmed/36157932 http://dx.doi.org/10.3748/wjg.v28.i32.4540 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Minireviews Liava, Christina Sinakos, Emmanouil Papadopoulou, Elissavet Giannakopoulou, Lamprini Potsi, Stamatia Moumtzouoglou, Anestis Chatziioannou, Anthi Stergioulas, Loukas Kalogeropoulou, Lydia Dedes, Ioannis Akriviadis, Evangelos Chourmouzi, Danai Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview |
title | Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview |
title_full | Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview |
title_fullStr | Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview |
title_full_unstemmed | Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview |
title_short | Liver Imaging Reporting and Data System criteria for the diagnosis of hepatocellular carcinoma in clinical practice: A pictorial minireview |
title_sort | liver imaging reporting and data system criteria for the diagnosis of hepatocellular carcinoma in clinical practice: a pictorial minireview |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476877/ https://www.ncbi.nlm.nih.gov/pubmed/36157932 http://dx.doi.org/10.3748/wjg.v28.i32.4540 |
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