The predictive value of CT radiomics combined with clinical and CT features for the P53 mutation status in lung adenocarcinoma
10.3969/j.issn.1002-1671.2025.11.008
- VernacularTitle:CT影像组学联合临床及CT特征对肺腺癌P53突变状态的预测价值
- Author:
Changkai CHEN
1
;
Yuan XU
;
Yawei LIU
;
Wang CHEN
;
Guan SUN
Author Information
1. 南京大学医学院附属盐城第一医院 盐城市第一人民医院影像科,江苏 盐城 224000
- Publication Type:Journal Article
- Keywords:
lung adenocarcinoma;
radiomics;
P53;
computed tomography
- From:
Journal of Practical Radiology
2025;41(11):1797-1801
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the predictive value of the diagnostic model constructed by CT radiomics combined with clin-ical and CT features for the P53 mutation status in lung adenocarcinoma.Methods The data of 177 patients with lung adenocarcinoma were retrospectively collected,including 75 cases of P53 mutant type and 102 cases of wild type.They were randomly divided into training cohort(n=123)and validation cohort(n=54)in a 7∶3 ratio.The region of interest(ROI)was delineated using MaZda software,and the features were screened using the least absolute shrinkage and selection operator(LASSO).The predictive model was devel-oped based on logistic regression analysis,and its diagnostic efficacy was evaluated.Results There were statistically significant differences in lesion diameter,maximum solid component diameter,lobulation sign,and lymph node metastasis between the two groups in the training cohort(P＜0.05).The area under the curve(AUC)in the training cohort of the radiomics score model,clinical imaging feature model,and combined model were 0.778,0.759,and 0.817,and the AUC in the validation cohort were 0.668,0.722,and 0.783,respectively.The clinical decision curve suggested that the combined model demonstrated superior clinical net benefits.Conclusion The combined model constructed by CT radiomics,lesion diameter,and lymph node metastasis has better predictive value for the P53 mutation status in lung adenocarcinoma.
