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Radiomics for the detection of microvascular invasion in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of liver cancer cases. It is currently the fifth most common cancer in the world and the third leading cause of cancer-related mortality. Moreover, recurrence of HCC is common. Microvascular invasion (MV...

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Autores principales: Lv, Kun, Cao, Xin, Du, Peng, Fu, Jun-Yan, Geng, Dao-Ying, Zhang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157623/
https://www.ncbi.nlm.nih.gov/pubmed/35721882
http://dx.doi.org/10.3748/wjg.v28.i20.2176
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author Lv, Kun
Cao, Xin
Du, Peng
Fu, Jun-Yan
Geng, Dao-Ying
Zhang, Jun
author_facet Lv, Kun
Cao, Xin
Du, Peng
Fu, Jun-Yan
Geng, Dao-Ying
Zhang, Jun
author_sort Lv, Kun
collection PubMed
description Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of liver cancer cases. It is currently the fifth most common cancer in the world and the third leading cause of cancer-related mortality. Moreover, recurrence of HCC is common. Microvascular invasion (MVI) is a major factor associated with recurrence in postoperative HCC. It is difficult to evaluate MVI using traditional imaging modalities. Currently, MVI is assessed primarily through pathological and immunohistochemical analyses of postoperative tissue samples. Needle biopsy is the primary method used to confirm MVI diagnosis before surgery. As the puncture specimens represent just a small part of the tumor, and given the heterogeneity of HCC, biopsy samples may yield false-negative results. Radiomics, an emerging, powerful, and non-invasive tool based on various imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasound, and positron emission tomography, can predict the HCC-MVI status preoperatively by delineating the tumor and/or the regions at a certain distance from the surface of the tumor to extract the image features. Although positive results have been reported for radiomics, its drawbacks have limited its clinical translation. This article reviews the application of radiomics, based on various imaging modalities, in preoperative evaluation of HCC-MVI and explores future research directions that facilitate its clinical translation.
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spelling pubmed-91576232022-06-17 Radiomics for the detection of microvascular invasion in hepatocellular carcinoma Lv, Kun Cao, Xin Du, Peng Fu, Jun-Yan Geng, Dao-Ying Zhang, Jun World J Gastroenterol Minireviews Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of liver cancer cases. It is currently the fifth most common cancer in the world and the third leading cause of cancer-related mortality. Moreover, recurrence of HCC is common. Microvascular invasion (MVI) is a major factor associated with recurrence in postoperative HCC. It is difficult to evaluate MVI using traditional imaging modalities. Currently, MVI is assessed primarily through pathological and immunohistochemical analyses of postoperative tissue samples. Needle biopsy is the primary method used to confirm MVI diagnosis before surgery. As the puncture specimens represent just a small part of the tumor, and given the heterogeneity of HCC, biopsy samples may yield false-negative results. Radiomics, an emerging, powerful, and non-invasive tool based on various imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasound, and positron emission tomography, can predict the HCC-MVI status preoperatively by delineating the tumor and/or the regions at a certain distance from the surface of the tumor to extract the image features. Although positive results have been reported for radiomics, its drawbacks have limited its clinical translation. This article reviews the application of radiomics, based on various imaging modalities, in preoperative evaluation of HCC-MVI and explores future research directions that facilitate its clinical translation. Baishideng Publishing Group Inc 2022-05-28 2022-05-28 /pmc/articles/PMC9157623/ /pubmed/35721882 http://dx.doi.org/10.3748/wjg.v28.i20.2176 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
Lv, Kun
Cao, Xin
Du, Peng
Fu, Jun-Yan
Geng, Dao-Ying
Zhang, Jun
Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
title Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
title_full Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
title_fullStr Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
title_full_unstemmed Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
title_short Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
title_sort radiomics for the detection of microvascular invasion in hepatocellular carcinoma
topic Minireviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157623/
https://www.ncbi.nlm.nih.gov/pubmed/35721882
http://dx.doi.org/10.3748/wjg.v28.i20.2176
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