| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
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. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Review |
| Article Title |
Current status and future perspectives of radiomics in hepatocellular carcinoma
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Joao Miranda, Natally Horvat, Gilton Marques Fonseca, Jose de Arimateia Batista Araujo-Filho, Maria Clara Fernandes, Charlotte Charbel, Jayasree Chakraborty, Fabricio Ferreira Coelho, Cesar Higa Nomura and Paulo Herman |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the NIH/NCI Cancer Center Support Grant |
P30 CA008748 |
|
| Corresponding Author |
Paulo Herman, MD, PhD, Professor, Department of Gastroenterology, University of Sao Paulo, 255 Av. Dr. Eneas de Carvalho Aguiar, Sao Paulo 05403-000, Brazil. pherman@uol.com.br |
| Key Words |
Radiomics; Hepatocellular carcinoma; Texture analysis; Radiology |
| Core Tip |
Radiomics is an emerging field that extracts high-dimensional mineable quantitative features that cannot be assessed visually with the naked eye from medical imaging. The main potential applications of radiomic models in hepatocellular carcinoma (HCC) are to predict histology, predict response to treatment, predict genetic signature, predict recurrence, and predict survival. The purpose of this article is to review the main concepts and challenges pertaining to radiomics, and to review recent studies and potential applications of radiomics in HCC. |
| Publish Date |
2023-01-04 05:53 |
| Citation |
Miranda J, Horvat N, Fonseca GM, Araujo-Filho JAB, Fernandes MC, Charbel C, Chakraborty J, Coelho FF, Nomura CH, Herman P. Current status and future perspectives of radiomics in hepatocellular carcinoma. World J Gastroenterol 2023; 29(1): 43-60 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i1/43.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i1.43 |
