The dual-energy CT imaging model can predict the expression of Ki-67 in gastric stromal tumors before operation
Objective To explore the application value of radiomics model based on dual-energy CT to predict the Ki-67 expression level of gastric stromal tumor(GST).Methods Retrospective analysis of 105 cases of GST who underwent dual-energy CT enhanced scanning and were diagnosed by surgical pathology and immunohistochemistry at the First People's Hospital of Yancheng City from November 2021 to September 2023.All cases were divided into training group(n=74)and test group(n=31)in a 7:3 ratio,and divided into Ki-67 high expression group and Ki-67 low expression group according to the postoperative immunohistochemistry results.General clinical characteristics of all patients were recorded,and conventional CT signs of the tumors were analyzed,quantitative dual-energy CT parameters were measured and calculated on venous phase,and imaging omics features were extracted.The above features were screened using univariate analysis and LASSO algorithm,and Logistic regression was used to establish a conventional CT sign model,a dual-energy CT model,an imaging histology model,and a combined model.The diagnostic efficacy of the models was compared using the ROC curve and AUC.DeLong test was used to compare the differences of each AUC.Results The differences in maximum tumor diameter,normalized iodine concentration,K and six imaging omics features between the two groups were statistically significant(P＜0.05).The combined model was the best model with the highest predictive efficacy.The differences between the combined model and the other three models were statistically significant(P＜0.05),while the differences between the other models were not statistically significant(P＞0.05).Conclusion The radiomics model based on dual-energy CT has clinical value in predicting Ki-67 expression levels in GST.
万方数据
维普
