Breast imaging reporting and data system classification combined with mammography radiomics for differentiating breast benign and malignant amorphous calcification lesions
10.13929/j.issn.1003-3289.2024.10.013
- VernacularTitle:乳腺影像报告和数据系统分类联合乳腺X线摄影影像组学鉴别诊断乳腺良、恶性无定形钙化灶
- Author:
Xinxin LI
1
,
2
;
Xiuting CHEN
;
Jie LI
;
Li YANG
;
Xiaomin TANG
;
Jing YAN
;
Chengcheng MA
;
Zhizhen GAO
Author Information
1. 蚌埠医科大学第一附属医院放射科,安徽蚌埠 233004
2. 蚌埠医科大学研究生院,安徽蚌埠 233030
- Keywords:
breast neoplasms;
mammography;
radiomics;
breast imaging reporting and data system
- From:
Chinese Journal of Medical Imaging Technology
2024;40(10):1519-1523
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of breast imaging reporting and data system(BI-RADS)classification combined with mammography(MG)radiomics for differentiating breast benign and malignant amorphous calcification lesions.Methods A total of 217 breast amorphous calcification lesions in 206 female patients,including 43 malignant and 174 benign ones were retrospectively enrolled and randomly divided into training set(n=151)and validation set(n=66)at the ratio of 7∶3.Then radiomics features were screened based on breast MG images.BI-RADS model,radiomics model and combined model were established,and the value of each model for distinguishing benign and malignant lesions was observed.Results Eight optimal radiomics features were selected.The area under the curve(AUC)of BI-RADS model,radiomics model and combined model for differentiating breast benign and malignant amorphous calcification lesions was 0.821,0.763 and 0.897 in training set,0.800,0.746 and 0.893 in validation set,respectively,AUC of combined model was significantly higher than that of the other two(both P＜0.05).Conclusion BI-RADS classification combined with MG radiomics was helpful for differential diagnosis of breast benign and malignant amorphous calcification lesions,with efficacy higher than that of each alone.
