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Fig. 4 | Cancer Imaging

Fig. 4

From: Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival

Fig. 4

PET RS and different clinical features were used to predict OS. (a) Multivariate Cox analysis of PET RS and different clinical features in the training cohort. (b) Nomograms constructed based on PET RS and different clinical characteristics in the training cohort. PET: Positron emission tomography; RS: Radiomics score; OS: Overall survival; CEA: Carcinoembryonic antigen; CA199: Carbohydrate antigen199; TNM: Tumor-node-metastasis. *, P < 0.05

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