201. Improving ultrasound diagnostic Precision for breast cancer and adenosis with modality-specific enhancement (MSE) - Breast Net.
- Author
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Lin, Zimei, Chen, Libin, Wang, Yunzhong, Zhang, Tao, and Huang, Pintong
- Subjects
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DIAGNOSTIC ultrasonic imaging , *BREAST cancer , *ULTRASONIC imaging , *CARCINOMA - Abstract
Adenosis is a benign breast condition whose lesions can mimic breast carcinoma and is evaluated for malignancy with the Breast Imaging–Reporting and Data System (BI-RADS). We construct and validate the performance of modality-specific enhancement (MSE)-Breast Net based on multimodal ultrasound images and compare it to the BI-RADS in differentiating adenosis from breast cancer. A total of 179 patients with breast carcinoma and 229 patients with adenosis were included in this retrospective, two-institution study, then divided into a training cohort (institution I, n = 292) and a validation cohort (institution II, n = 116). In the training cohort, the final model had a significantly greater AUC (0.82; P < 0.05) than B-mode–based model (0.69, 95% CI [0.49–0.90]). In the validation cohort, the AUC of the final model was 0.81, greater than that of the BI-RADS (0.75, P < 0.05). The multimodal model outperformed the individual and bimodal models, reaching a significantly greater AUC of 0.87 (95% CI = 0.69–1.0) (P < 0.05). MSE-Breast Net, based on multimodal ultrasound images, exhibited better diagnostic performance than the BI-RADS in differentiating adenosis from breast cancer and may contribute to clinical diagnosis and treatment. • Guiding the development of clinical treatment strategies has proven challenging due to the distinct treatment approaches used for adenosis and invasive carcinoma. • MSE aims to improve the quality of images obtained from a particular imaging modality by taking into account its specific characteristics and optimizing the enhancement process to better suit the modality. • We established a model-MSE-Breast Net, based on multimodal ultrasound images to distinguish adenosis from cancer and evaluate its ability to differentiate adenosis from breast carcinoma. • MSE-Breast Net, based on multimodal ultrasound images, exhibited better diagnostic performance than the BI-RADS in differentiating adenosis from breast cancer. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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