Constructing diagnostic nomogram based on multimodal imaging techniques for breast imaging reporting and data system 4 category breast nodule with microcalcifications
10.3969/j.issn.1002-1671.2025.07.014
- VernacularTitle:基于多模态成像技术构建乳腺影像报告与数据系统4类微钙化乳腺结节的诊断列线图
- Author:
Yanling ZHAO
1
;
Peng MIN
1
;
Rui YANG
1
;
Song XU
1
;
Hong PENG
1
Author Information
1. 湖北医药学院附属国药东风总医院医学影像科,湖北 十堰 442000
- Publication Type:Journal Article
- Keywords:
mammography;
magnetic resonance imaging;
multimodal ultrasound;
breast imaging reporting and data system
- From:
Journal of Practical Radiology
2025;41(7):1144-1147
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct and validate a diagnostic model based on mammography,MRI,and multimodal ultrasound for diagnosing benign and malignant for the breast imaging reporting and data system(BI-RADS)4 category breast nodule with malig-nant microcalcifications.Methods The data of 243 patients with BI-RADS 4 category breast nodule with malignant microcalcifica-tions were retrospectively analyzed and randomly divided into training set(194 cases)and validation set(49 cases)according to a ratio of 8︰2.According to the pathological results,the factors affecting the benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifications were analyzed,then constructed a diganostic model and validated it.Results There were 118 cases and 29 cases with malignant nodules and 76 cases and 20 cases with benign nodules in the training and validation sets,respectively.Logistic regression analysis of the training set showed that fine pleomorphic microcalcification morphology,apparent dif-fusion coefficient(ADC)value,low or very low echogenicity,and heterogeneous enhancement of microvesicle distribution within the nodules were the risk factors for benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifica-tions(P<0.05).The nomogram prediction model based on the above factors corresponded to a risk rate range of 0.05 to 0.86,and the calibration curve for diagnosing benign and malignant BI-RADS 4 category breast nodule with malignant microcalcifications tended to be close to the ideal curve(P>0.05).The nomogram model for diagnosing malignant nodule for BI-RADS 4 category breast nod-ule with malignant microcalcifications showed that the sensitivity was 81.39%and 88.73%,the specificity was 90.02%and 82.51%,and the area under the curve(AUC)was 0.874 and 0.891 in the training set and validation set,respectively.Conclusion The model constructed based on mammography,MRI,and multimodal ultrasound has good diagnostic efficacy for BI-RADS 4 category breast nodule with malignant microcalcifications.
