Enhanced arterial phase CT radiomics features combined with clinic for preoperative predicting gastric cancer lymphovascular invasion
Objective To observe the value of enhanced arterial phase CT radiomics features combined with clinic for preoperative predicting gastric cancer lymphovascular invasion(LVI).Methods Data of 298 patients with gastric cancer were retrospectively analyzed.The patients were divided into positive group(n=155)and negative group(n=143)based on with LVI or not,also into training set(n=208)and test set(n=90)at a ratio of 7∶3.The radiomics features of tumor ROI were extracted based on enhanced arterial phase CT images,and clinical impact factors of gastric cancer LVI were screened with logistic regression analysis.Then radiomics model,clinical model and clinical-radiomics model were established using support vector machine(SVM),logistic regression(LR),random forest(RF)and extreme gradient boosting(XGBoost),respectively,and the efficacy of each model for predicting gastric cancer LVI was evaluated.Results The area under the curve(AUC)of the radiomics model based on SVM,LR,RF and XGBoost for predicting gastric cancer LVI in training set was 0.896,0.821,1.000 and 1.000,respectively,while was 0.744,0.801,0.740 and 0.747 in test set,respectively.The AUC of clinical model based on SVM,LR,RF and XGBoost were all 0.810 in training set,while were all 0.840 in test set.The AUC of clinical-radiomics model based on SVM,LR,RF and XGBoost in training set was 0.920,0.900,1.000 and 1.000,respectively,in test set was 0.900,0.890,0.840 and 0.790,respectively.In test set,the AUC of clinical-radiomics model based on SVM,LR and RF were all higher than that of radiomics model and clinical model(all P＜0.05).Conclusion Enhanced arterial phase CT radiomics features combined with clinic was helpful for predicting gastric cancer LVI before surgical operation.
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