CT radiomics nomogram for predicting Ki-67 expression of thymus epithelial tumors
Objective To observe the value of CT radiomics nomogram for predicting Ki-67 expression of thymus epithelial tumors.Methods Totally 163 patients with thymus epithelial tumor,including 114 patients in training set and 49 patients in validation set were retrospectively enrolled.The patients were further divided into low expression(＜50％)and high expression(≥50％)subgroups according to Ki-67 index.Multivariate logistic regression analysis was performed to screen independent predicting factors of Ki-67 expression in thymus epithelial tumors,and clinical-CT model was constructed.The optimal radiomics features were extracted and screened based on chest plain and venous phase enhanced CT images,respectively.Then radiomics modelplain and radiomics modelenhanced were constructed,and Radscoreplain and Radscoreenhanced were calculated,respectively.The nomogram model was constructed based on clinical-CT model,Radscoreplain and Radscoreenhanced.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting Ki-67 expression of thymus epithelial tumors.Results Patient's gender and enhanced CT value of lesion were both independent predicting factors of Ki-67 expression in thymus epithelial tumors(both P＜0.05).The AUC of clinical-CT model,radiomics modelplain,radiomics modelenhanced and nomogram model for predicting Ki-67 expression was 0.736,0.814,0.836 and 0.857 in training set,which was 0.746,0.746,0.750 and 0.799 in validation set,respectively.Conclusion CT radiomics nomogram could be used to predict Ki-6 7 expression of thymus epithelial tumors.
NETL
NSTL
万方数据
