A CT-based Radiomics Model Identifies the Primary Source of Liver Metastases in the Digestive System
Objective To investigate the value of CT radiomics model in identifying liver metastases from digestive system.Methods A total of 200 patients with pathologically confirmed liver metastases from the digestive system were retrospectively collected,including 80 cases of colorectal cancer,55 cases of gastric cancer and 65 cases of pancreatic cancer.Based on enhanced CT portal vein image extraction and screening omics features,K-nearest neighbors(KNN),regression tree(RT),random forest(RF),Gaussian naïve Bayes(NB)and support vector machine(SVM)were used to construct a three-class model to evaluate the efficiency of the model with accuracy and macro-averaged AUC.Calibration curves,clinical decision curves(DCA)quantify model validity.Results The accuracy of the validation set of three-class model was 0.91,0.44,0.48,0.62 and 0.53,the macro-averaged AUC was 0.95,0.47,0.54,0.68 and 0.61,the AUC of the validation set of the two-class was 0.82,0.80 and 0.78,the calibration curve showed good consistency between the training set and the validation set,and the DCA curve showed good clinical applicability.Conclusion Liver-enhanced CT radiomics model plays a good role in identifying the primary source of liver metastases in the digestive system.
RadiomicsLiver MetastasesColorectal CancerGastric CancerPancreatic Cancer
万方数据
维普
