OBJECTIVE

To review the application of radiomics in gastric cancer and its challenges as well as future prospects.

DATA SOURCES

A research for relevant studies were performed in PubMed with the terms of "radiomics," "texture analysis," and "gastric cancer." The search was updated until February 28, 2019.

STUDY SELECTION

All original articles regarding the investigation of texture analysis or radiomics in gastric cancer were retrieved. Only papers written in English were included.

RESULTS

A total of 17 original articles were selected in final. It is shown that radiomics has yielded moderate to excellent performance in a spectrum of respects including differential diagnosis, assessment of histological differential degree, evaluation of tumor stage, prediction of response to therapy, and prognosis in gastric cancer. Yet, a number of challenges are facing both radiomics itself and its application in gastric cancer.

CONCLUSIONS

Radiomics holds great potential in facilitating decision-making in gastric cancer. With the standardization of work-flow and advancement of machine learning methods, radiomics is expected to make great breakthroughs in precision medicine of gastric cancer.