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Progress of MRI Radiomics in Hepatocellular Carcinoma.

Authors :
Gong, Xue-Qin
Tao, Yun-Yun
Wu, Yao–Kun
Liu, Ning
Yu, Xi
Wang, Ran
Zheng, Jing
Liu, Nian
Huang, Xiao-Hua
Li, Jing-Dong
Yang, Gang
Wei, Xiao-Qin
Yang, Lin
Zhang, Xiao-Ming
Source :
Frontiers in Oncology; 9/20/2021, Vol. 11, p1-13, 13p
Publication Year :
2021

Abstract

Background: Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world and the third leading cause of cancer-related death. Although the diagnostic scheme of HCC is currently undergoing refinement, the prognosis of HCC is still not satisfactory. In addition to certain factors, such as tumor size and number and vascular invasion displayed on traditional imaging, some histopathological features and gene expression parameters are also important for the prognosis of HCC patients. However, most parameters are based on postoperative pathological examinations, which cannot help with preoperative decision-making. As a new field, radiomics extracts high-throughput imaging data from different types of images to build models and predict clinical outcomes noninvasively before surgery, rendering it a powerful aid for making personalized treatment decisions preoperatively. Objective: This study reviewed the workflow of radiomics and the research progress on magnetic resonance imaging (MRI) radiomics in the diagnosis and treatment of HCC. Methods: A literature review was conducted by searching PubMed for search of relevant peer-reviewed articles published from May 2017 to June 2021.The search keywords included HCC, MRI, radiomics, deep learning, artificial intelligence, machine learning, neural network, texture analysis, diagnosis, histopathology, microvascular invasion, surgical resection, radiofrequency, recurrence, relapse, transarterial chemoembolization, targeted therapy, immunotherapy, therapeutic response, and prognosis. Results: Radiomics features on MRI can be used as biomarkers to determine the differential diagnosis, histological grade, microvascular invasion status, gene expression status, local and systemic therapeutic responses, and prognosis of HCC patients. Conclusion: Radiomics is a promising new imaging method. MRI radiomics has high application value in the diagnosis and treatment of HCC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2234943X
Volume :
11
Database :
Complementary Index
Journal :
Frontiers in Oncology
Publication Type :
Academic Journal
Accession number :
152532350
Full Text :
https://doi.org/10.3389/fonc.2021.698373