The authors of this study constructed two multivariate logistic regression models and compared the diagnostic performance between the two of them via receiver operating characteristic analysis, discovering that CT radiomics analysis can provide valuable information for predicting occult peritoneal metastases in advanced gastric cancer. Key points Venous CT radiomics analysis provided valuable information for predicting occult peritoneal metastases in advanced gastric cancer. CT-based T stage was an independent predictive factor of occult peritoneal metastases in advanced gastric cancer. A radiomics model showed slightly worse diagnostic efficacy than a clinic-pathological model. Article: Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer Authors: Shunli Liu, Jian He, Song Liu, Changfeng Ji, Wenxian Guan, Ling Chen, Yue Guan, Xiaofeng Yang, Zhengyang Zhou

Impact of deep learning reconstruction on radiation dose reduction and cancer risk in CT examinations
Deep‑learning reconstruction (DLR) shifts CT image formation from a hardware‑limited process to a data‑driven one. In our real‑world cohort of >10,000 body scans, we observed a

