DBT-based radiomics for differentiating benign and malignant breast lesions
JIANG Wen-yan1, NIU Shu-xian2, ZHANG Meng-yao2, CUI Lin-peng2, #br#
DONG Yue1, AI Hua1, ZHOU Xiao-ya3, YU Tao1, LUO Ya-hong1
1. Department of Imaging, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang 110042, China;
2. Department of Biomedical Engineering, China Medical University, Shenyang 110122, China;
3. College of Basic Medicine, Jining Medical University, Jining Shandong 272067, China
Abstract：Objective: To evaluate the role of DBT-based radiomics in differentiating benign and malignant breast lesions. Methods: Breast DBT data of 160 patients were collected from Liaoning Cancer Hospital from September 2017 to April 2018 were analyzed. Radiomics features were extracted and analyzed. A nomogram model for distinguishing benign and malignant lesions was constructed. The clinical applicability of the nomogram was further evaluated by decision curve analysis. The predictive abilities of the models were evaluated by ROC curves and AUC values. Result: The AUC values of the constructed nomogram were 0.942(SEN=0.833, SPE=0.928) and 0.928(SEN=0.926, SPE=0.839) in the training and validation cohorts, respectively. The DCA analyses showed that our nomogram had good clinical value. Conclusion: Our nomogram model based on breast DBT image features has great potential in non-invasive distinguishing benign and malignant lesions.
姜文研1，牛淑娴2，张梦瑶2，崔林鹏2，董 越1，艾 华2，周晓娅3，于 韬1，罗娅红1. 乳腺DBT影像组学对乳腺肿块良恶性的鉴别研究[J]. 中国临床医学影像杂志, 2020, 31(6): 398-402.
JIANG Wen-yan1, NIU Shu-xian2, ZHANG Meng-yao2, CUI Lin-peng2, . DBT-based radiomics for differentiating benign and malignant breast lesions. JOURNAL OF CHINA MEDICAL IMAGING, 2020, 31(6): 398-402.
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