Radiomics in Hepatocellular Carcinoma: A State-of-the-art Review

Overview

Journal World J Gastrointest Oncol

Publisher Baishideng Publishing Group

Date 2021 Dec 2

PMID 34853638

Citations 11

Authors

Shan Yao

Zheng Ye

Yi Wei

Han-Yu Jiang

Bin Song

Affiliations

Soon will be listed here.

Abstract

Hepatocellular carcinoma (HCC) is the most common cancer and the second major contributor to cancer-related mortality. Radiomics, a burgeoning technology that can provide invisible high-dimensional quantitative and mineable data derived from routine-acquired images, has enormous potential for HCC management from diagnosis to prognosis as well as providing contributions to the rapidly developing deep learning methodology. This article aims to review the radiomics approach and its current state-of-the-art clinical application scenario in HCC. The limitations, challenges, and thoughts on future directions are also summarized.

Citing Articles

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Jeltsch P, Monnin K, Jreige M, Fernandes-Mendes L, Girardet R, Dromain C Diagnostics (Basel). 2025; 14(24.

PMID: 39767146 PMC: 11726866. DOI: 10.3390/diagnostics14242785.

Construction of a 2.5D Deep Learning Model for Predicting Early Postoperative Recurrence of Hepatocellular Carcinoma Using Multi-View and Multi-Phase CT Images.

Zhang Y, Chen Z, Bu Y, Lei P, Yang W, Zhang W J Hepatocell Carcinoma. 2024; 11:2223-2239.

PMID: 39569409 PMC: 11577935. DOI: 10.2147/JHC.S493478.

A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation.

Bartnik K, Krzyzinski M, Bartczak T, Korzeniowski K, Lamparski K, Wroblewski T Sci Rep. 2024; 14(1):14779.

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Comparing Texture Analysis of Apparent Diffusion Coefficient MRI in Hepatocellular Adenoma and Hepatocellular Carcinoma.

Abdullah A, Amanpour-Gharaei B, Toosi M, Delazar S, Saligheh Rad H, Arian A Cureus. 2024; 16(1):e51443.

PMID: 38298321 PMC: 10829059. DOI: 10.7759/cureus.51443.

From imaging to clinical outcome: dual-region CT radiomics predicting FOXM1 expression and prognosis in hepatocellular carcinoma.

Chen X, Tang Y, Wu D, Li R, Lin Z, Zhou X Front Oncol. 2023; 13:1278467.

PMID: 37817774 PMC: 10561750. DOI: 10.3389/fonc.2023.1278467.

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