Preoperative prediction of Ki-67 expression in thymic epithelial tumors by CT imaging histology combined with clinical features model
WU Chunhong
HU Congyang
XU Xiaoyan
HU Xuechao
ZHOU Yong
Abstract：Objective To investigate the value of CT imaging histology combined with clinical features model for preoperative prediction of Ki-67 expression level in thymic epithelial tumors(TET).Methods A retrospective analysis of 171 patients with TET confirmed by pathology and immunohistochemistry at the Third Clinical Medical College of Xinjiang Medical University from January 2015 to June 2024 were randomly divided into a training group(n=120)and a testing group(n=51)according to a 7:3 ratio.Logistic regression analysis was performed for all clinical risk factors to create a clinical model.ITK-SNAP was used to outline the regions of interest in the enhanced chest CT thin-layer images of patients,Pyradiomics was used to extract the image histological features,Mann-Whitney U test and LASSO regression were used for feature screening,binary logistic regression was used to construct the prediction model,and the best model was visualized using a column-line diagram.Results The area under the curve of the clinical model,the imaging histology model,and the combined clinical-imaging histology model were 0.670,0.867,and 0.890 in the training group,and 0.632,0.834,and 0.851 in the test group,respectively;The combined clinical-imaging histology model had the best predictive efficacy among the three groups of models.Conclusion The model constructed based on enhanced CT imaging histologic features and clinical features has some value in predicting TET Ki-67 expression level before surgery,and the combined clinical-imaging histologic model is better than the clinical model and the single model of imaging histologic model.
Keywords：thymic epithelial tumorimaging omicsKi-67
Publication Date：2025-02-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 152-158 )