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European Radiology
Published in: European Radiology 9/2022

22-03-2022 | Gastric Cancer | Imaging Informatics and Artificial Intelligence

Radiomics in precision medicine for gastric cancer: opportunities and challenges

Authors: Qiuying Chen, Lu Zhang, Shuyi Liu, Jingjing You, Luyan Chen, Zhe Jin, Shuixing Zhang, Bin Zhang

Published in: European Radiology | Issue 9/2022

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Abstract

Objectives

Radiomic features derived from routine medical images show great potential for personalized medicine in gastric cancer (GC). We aimed to evaluate the current status and quality of radiomic research as well as its potential for identifying biomarkers to predict therapy response and prognosis in patients with GC.

Methods

We performed a systematic search of the PubMed and Embase databases for articles published from inception through July 10, 2021. The phase classification criteria for image mining studies and the radiomics quality scoring (RQS) tool were applied to evaluate scientific and reporting quality.

Results

Twenty-five studies consisting of 10,432 patients were included. 96% of studies extracted radiomic features from CT images. Association between radiomic signature and therapy response was evaluated in seven (28%) studies; association with survival was evaluated in 17 (68%) studies; one (4%) study analyzed both. All results of the included studies showed significant associations. Based on the phase classification criteria for image mining studies, 18 (72%) studies were classified as phase II, with two, four, and one studies as discovery science, phase 0 and phase I, respectively. The median RQS score for the radiomic studies was 44.4% (range, 0 to 55.6%). There was extensive heterogeneity in the study population, tumor stage, treatment protocol, and radiomic workflow amongst the studies.

Conclusions

Although radiomic research in GC is highly heterogeneous and of relatively low quality, it holds promise for predicting therapy response and prognosis. Efforts towards standardization and collaboration are needed to utilize radiomics for clinical application.

Key Points

• Radiomics application of gastric cancer is increasingly being reported, particularly in predicting therapy response and survival.
• Although radiomics research in gastric cancer is highly heterogeneous and relatively low quality, it holds promise for predicting clinical outcomes.
• Standardized imaging protocols and radiomic workflow are needed to facilitate radiomics into clinical use.
Appendix
Available only for authorised users
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Metadata
Title
Radiomics in precision medicine for gastric cancer: opportunities and challenges
Authors
Qiuying Chen
Lu Zhang
Shuyi Liu
Jingjing You
Luyan Chen
Zhe Jin
Shuixing Zhang
Bin Zhang
Publication date
22-03-2022
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 9/2022
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08704-8

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