Page 32 - ARNM-3-2

Advances in Radiotherapy &

Nuclear Medicine

REVIEW ARTICLE
Current status and future potential of radiomics in

the management of patients with gastric cancer

Qiao Zheng 1† , Haoze Zheng 1† , Ziyang Liu 1 , Wenhao Guo 2 , Sunjun Li 3 ,
Junhao Ma 1 , Yuxin Lou 1 , Lijing Liu 4 , Congying Xie * , and Xiance Jin *
1,2
1
1 Department of Radiation and Medical Oncology, 1 Affiliated Hospital of Wenzhou Medical
st
University, Wenzhou, Zhejiang, China
2 Department of Education, School of Basic Medical Science, Wenzhou Medical University, Wenzhou,
Zhejiang, China
3 Department of Education, Alberta Institute, Wenzhou Medical University, Wenzhou, Zhejiang, China
4 Department of Radiation and Medical Oncology, Changxing County People’s Hospital, Zhejiang
University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China

Abstract
Gastric cancer (GC) is one of the most common malignant tumors in the world and
has attracted much attention due to its high incidence and mortality. Early detection
and accurate diagnosis of GC is very important to improve the survival rate of
† These authors contributed equally
to this work. patients. Traditional imaging techniques, such as computed tomography (CT), have
played an important role in the diagnosis and staging of GC, but their accuracy and
*Corresponding authors: predictive power are still limited. Radiomics, as an emerging multidisciplinary field,
Congying Xie
(wzxiecongying@163.com) combines medical imaging, computer technology, and bioinformatics to reveal
Xiance Jin potential biological information in image data through quantitative extraction of
(jinxc1979@hotmail.com) image features. To review the current status and future potential of radiomics in the
Citation: Zheng Q, Zheng H, diagnosis, prognosis, and outcome prediction for patients with GC, related studies
Liu Z, et al. Current status and with keywords such as “radiomics,” “gastric cancer,” and “predict” were retrieved from
future potential of radiomics in the
management of patients with gastric PubMed (until October 2022). The clinical value of radiomics in GC research, which
cancer. Adv Radiother Nucl Med. encompasses diagnosis, clinical staging, and prognostic prediction, was analyzed
2025;3(2):24-38. and summarized. A total of 52 original articles in radiomics were selected for the
doi: 10.36922/arnm.8350
prediction of diagnostic classification (n = 9), tumor-node-metastasis stages (n = 19),
Received: December 31, 2024 prognosis and response prediction to treatment (n = 20), and the use of deep learning
Revised: March 4, 2025 algorithm (n = 4). Among these, 39 (75%) were single-center studies and 13 (25%)
were multicenter studies, with sample sizes ranging from 47 to 1,778. In terms
Accepted: March 19, 2025
of imaging modalities, 44 studies utilized CT-based radiomics, six used positron
Published online: May 8, 2025 emission tomography-CT, and a few employed magnetic resonance imaging. With
Copyright: © 2025 Author(s). the continuous improvement and development in radiomics, it has great potential in
This is an Open-Access article the diagnosis, post-treatment follow-up, and treatment decision for patients with GC.
distributed under the terms of the
Creative Commons Attribution
License, permitting distribution, Keywords: Gastric cancer; Radiomics; Assessment; Predict; Prognosis
and reproduction in any medium,
provided the original work is
properly cited.
Publisher’s Note: AccScience
Publishing remains neutral with 1. Introduction
regard to jurisdictional claims in
published maps and institutional Gastric cancer (GC) is the fifth most common cancer worldwide and the third leading cause
affiliations. of cancer-related deaths, with more than 1,000,000 new cases and nearly 800,000 deaths

Volume 3 Issue 2 (2025) 24 doi: 10.36922/arnm.8350