Application Value of Preoperative CT Features in Predicting High Ki-67 Proliferation Index of Gastrointestinal Stromal Tumors
Objective To investigate the application value of preoperative Philips CT features in predicting high Ki-67 proliferation index of gastrointestinal stromal tumor(GIST).Methods 112 GIST patients admitted to our hospital from January 2019 to December 2022 were included.The lesion tissues were collected after surgery for immunohistochemical assay to determine the expression of Ki-67 proliferating index.The patients were divided into high Ki-67 group and low Ki-67 group according to the expression level of Ki-67 proliferating index.Single factor and Logistic regression model were used to determine the independent risk of preoperative CT features affecting high Ki-67 proliferation index in GIST patients,and the diagnostic value of single and combined preoperative CT features in predicting high Ki-67 proliferation index in GIST patients was evaluated by receiver operating curve(ROC).Results In addition to gender,age,tumor location,tumor profile,growth pattern,calcification,lesion surface ulcer and metastasis,there were statistically significant differences in tumor size,tumor boundary,cystic degeneration or necrosis,tumor thickened vessels,enhancement pattern and enhancement degree between the two groups(P＜0.05).Multivariate analysis of Logistic regression model showed that preoperative CT features affecting the independent risk of high Ki-67 proliferation index in GIST patients included tumor size(＞5cm),tumor boundary(unclear)and degree of enhancement(mild).The ROC results showed that the combined model had the highest diagnostic value in predicting the high Ki-67 proliferation index in GIST patients,and the AUC value was 0.874.The sensitivity and specificity were 85.00％and 79.17％.Conclusion The preoperative CT features of tumor size(＞5cm),tumor boundary(unclear)and enhancement degree(mild)are closely related to the high expression of Ki-67 proliferation index in GIST patients.The establishment of a combined model is helpful for early identification of GIST patients with high expression of Ki-67 proliferation index,which can provide key information for the formulation of subsequent clinical treatment plans.
NETL
NSTL
万方数据
维普
