Preoperative prediction of lymphovascular invasion in breast cancer based on multimodal radiomics model combining MRI and digital mammography
10.3969/j.issn.1002-1671.2025.08.014
- VernacularTitle:基于MRI及数字化乳腺X线摄影影像组学多模态模型术前预测乳腺癌淋巴血管侵犯的研究
- Author:
Ke MAO
1
;
Xiaoyang ZHAI
;
Yaning DONG
;
Sijia CHENG
;
Yaqi ZANG
;
Fei JIA
;
Dongming HAN
Author Information
1. 新乡医学院第一附属医院磁共振科,河南 卫辉 453100
- Publication Type:Journal Article
- Keywords:
breast cancer;
magnetic resonance imaging;
digital mammography;
radiomics;
lymphovascular invasion
- From:
Journal of Practical Radiology
2025;41(8):1319-1323
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of multimodal model integrating digital mammography(MG)and MRI radiomics features for preoperative prediction of lymphovascular invasion(LVI)status in breast cancer.Methods The clinical and imaging data from 336 patients with pathologically confirmed invasive breast cancer were retrospectively analyzed and randomly divided into a training group(235 cases)and a test group(101 cases)according to the ratio of 7∶3.Feature dimensionality reduction was carried out by Pearson correlation analysis followed by least absolute shrinkage and selection operator(LASSO)regression.Radiomics models were constructed based on MG craniocaudal(CC),dynamic contrast enhancement(DCE),T2 WI,and integrated MRI sequences;a multimodal model was further developed by incorporating clinical high-risk factors.The predictive efficiency of each model was evaluated by plotting receiver operating characteristic(ROC)curve.Results The ROC curve analysis showed that the multimodal model performed the best predictive efficiency,with area under the curve(AUC)of 0.989 and 0.861,accuracy of 0.949 and 0.782,sensitivity of 0.923 and 0.828,and specificity of 0.962 and 0.764 in the training group and test group respectively.Conclusion The multimodal model,integrating MG and MRI radiomics features,show optimal performance and can be served as a preoperative prediction of LVI status in breast cancer.
