Predicting BRCA-mutated breast cancer based on a combined clinicopathological and multiparametric MRI features model
10.3969/j.issn.1002-1671.2025.07.013
- VernacularTitle:基于联合临床病理和多参数MRI特征模型预测BRCA突变型乳腺癌
- Author:
Xiaohong CHEN
1
;
Zhiqi YANG
1
;
Bowen YUE
1
;
Yi CHEN
1
;
Jianhui LI
1
;
Xinwei ZHONG
1
;
Hao ZHANG
1
;
Xinhong LIANG
1
;
Weixiong FAN
1
;
Xiaofeng CHEN
1
Author Information
1. 梅州市人民医院放射科 汕头大学医学院梅州临床学院,广东 梅州 514031
- Publication Type:Journal Article
- Keywords:
breast cancer;
breast cancer susceptibility genes;
magnetic resonance imaging;
clinicopathological features;
model
- From:
Journal of Practical Radiology
2025;41(7):1139-1143
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the efficacy of a model combining clinicopathological characteristics and multiparametric MRI features for predicting BRCA-mutated breast cancer(BC).Methods A total of 256 BC patients were retrospectively selected and divided into BRCA mutation group(116 cases)and BRCA wild group(140 cases)based on the BRCA results.Chi-square tests or independ-ent sample t-tests were used to compare the differences in clinicopathological characteristics and multiparametric MRI features between the BRCA mutation group and the wild group.Risk factors for BRCA-mutated BC were identified through univariate and multivariate logistic regression ananlyses,and a combined predictive model was constructed.Receiver operating characteristic(ROC)curve was used to ana-lyze the diagnostic efficacy of the model.Results There were statistically significant differences in T stage,human epidermal growth factor receptor 2(HER-2),Ki-67,non-mass enhancement,enhancement pattern,time-signal intensity curve(TIC)type,and apparent diffusion coefficient(ADC)values between the BRCA mutation group and the wild group.Univariate logistic regression analysis showed that T stage,HER-2,Ki-67,non-mass enhancement,enhancement pattern,TIC type,and ADC values were risk factors for BRCA-mutated BC(P<0.05).Multivariate logistic regression analysis revealed that T stage,HER-2,Ki-67,enhancement pattern,and TIC type were independent risk factors for BRCA-mutated BC(P<0.05).The combined model incorporating T stage,HER-2,Ki-67,enhancement pattern,and TIC type had the best diagnostic efficacy in predicting BRCA-mutated BC,with an area under the curve(AUC)of 0.751.Conclusion The combined model integrating T stage,HER-2,Ki-67,enhancement pattern,and TIC type has good efficacy in predicting BRCA-mutated BC.
