Predictive value of multimodal ultrasound nomogram model for malignant risk of micro lesions in breast areola region
10.3760/cma.j.cn131148-20241117-00595
- VernacularTitle:多模态超声列线图模型对乳晕区微小病灶的恶性风险预测价值
- Author:
Yuyang GAN
1
;
Yuanjie CUI
;
Wen HE
;
Wei ZHANG
;
Haiman SONG
;
Ziyi YIN
;
Tengfei YU
Author Information
1. 首都医科大学附属北京天坛医院超声科，北京 100070
- Publication Type:Journal Article
- Keywords:
Contrast-enhanced ultrasound;
Micro breast cancer;
Intraductal papilloma of the breast;
Nomogram
- From:
Chinese Journal of Ultrasonography
2025;34(4):287-294
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the value of nomogram model based on multimodal ultrasound features for predicting the malignant risk of micro lesions in breast areola region.Methods:The case data of Beijing Tiantan Hospital affiliated to Capital Medical University from May 2020 to July 2024 were retrospectively analyzed. A total of 50 patients with benign intraductal papilloma（bIDP group）and 54 patients with malignant risk breast tumor（mrBT group）were found to have micro lesions in breast areola region and confirmed by puncture or surgical pathology. Clinical data，conventional ultrasound and contrast-enhanced ultrasound features were compared between the two groups. Multivariate Logistic regression analysis and Lasso regression analysis were performed on statistically significant factors to screen out influencing factors. ROC curves were plotted to evaluate diagnostic efficacy，nomogram model and clinical decision curves were constructed to evaluate clinical benefits.Results:The differences of age，nipple discharge presentation，conventional ultrasound features（including boundary，morphology，aspect ratio，internal echo，internal microcalcification，far-field echo，peripheral irregular hyperechoic ring，dilate of peripheral ducts），and contrast-enhanced ultrasound features（including wash-in time，enhancement intensity，enhancement mode，enhancement scope，blood perfusion defect，crab foot sign，penetrating vessels）were statistically significant between the bIDP group and mrBTgroup（all P<0.05）. Regression analysis showed that age，uniformity of internal echo within the lesion，dilation of surrounding ducts，and enhanced crab foot sign were the affect factors for the diagnosis of mrBT（all P<0.05）. Based on these factors，a nomogram model was constructed with an area under ROC curve（AUC）of 0.907（95% CI=0.851-0.963），a sensitivity of 0.907，and a specificity of 0.780. The decision curve analysis showed that the collective model had good predictive performance. Conclusions:The nomogram model based on multimodal ultrasound features has good value in predicting malignant risk micro breast tumor of areola region.
