Feasibility of predicting expression of Ki-67 in lung adenocarcinoma via multi-parameter of duallayer spectral detector CT
10.3969/j.issn.1002-1671.2024.10.005
- VernacularTitle:双层探测器光谱CT多参数预测肺腺癌Ki-67指数表达的可行性
- Author:
Yiting CHEN
1
;
Xiaoqiong NI
;
Liang XU
;
Guohua FAN
;
Dan JIN
Author Information
1. 苏州大学苏州医学院,江苏 苏州 215004
- Keywords:
lung adenocarcinoma;
Ki-67;
computed tomography
- From:
Journal of Practical Radiology
2024;40(10):1597-1600,1610
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the feasibility of predicting expression level of Ki-67 in lung adenocarcinoma via multi-parameter of spectral CT.Methods The data of 226 patients with lung adenocarcinoma confirmed by pathology were analyzed retrospectively.The conventional and spectral CT parameters of the lesions were analyzed.According to Ki-67 expression level,all patients were divided into low expression group and high expression group.The parameters with statistical significance were identified as independent variables for multivariate logistic regression analysis to establish a logistic regression model for predicting the expression level of Ki-67.Receiver operating characteristic(ROC)curve was used to assess the diagnostic performance for each model,respectively.Results There were significant differences in the clinical factors of gender,smoking and chest pain between high and low Ki-67 expression groups.In spectral CT parameters,CT40 keV,CT100 keV,Z-effective(Zeff)and iodine concentration(IC)in the high expression group in arterial phase were significantly higher than those in the low expression group.Logistic regression analysis showed that CT100 keV was the independent risk factor for Ki-67 expression level.Both the spectral CT model and the combined model had high value in predicting the expression level of Ki-67 in lung adenocarcinoma,and the combined model had better diagnostic efficacy.Conclusion Spectral CT parameters combined with clinical factors have a certain value in predicting the expression level of Ki-67 in lung adenocarcinoma.
