Stomach is an important digestive organ of human beings,and the occurrence of gastric tumors seriously endangers human health.There are many types of gastric tumors,with gastric adenocarcinomas being the most common malignant tumors,followed by gastric lymphomas.Histological differentiation of gastric adenocarcinomas is correlated with the clinical outcome,and patients with a poor differentiation have worse clinicopathological status and higher risks of lymph node metastasis and recurrence.Moreover,lowly differentiated gastric cancer share similar endoscopic and CT manifestations with those of gastric lymphomas,but quite different treatment methods.Generally,routine imaging methods have limitations due to the subjective diagnosis.Imaging omics emerges under the background of big data.Using computer algorithms,it extracts and analyzes a large number of quantitative features that are difficult to capture with the naked eye from imaging images,and through analysis and calculation,thus assisting imaging doctors to make a more accurate diagnosis.This article reviewed the progress of CT-based imaging in the classification of gastric adenocarcinomas and the differential diagnosis of gastric lymphomas.
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