Comparison of Clinical Performance Between Digital Breast Tomosynthesis and MammouS-N
Sung Ui Shin, Mijung Jang, Bo La Yun, Su Min Cho, Yoon Yeong Choi, Bohyoung Kim, Min Jung Kim, Sun Mi Kim

TL;DR
A new standing automated ultrasound system (MammouS-N) complements digital breast tomosynthesis by better detecting non-calcified breast cancers in dense tissue.
Contribution
The study introduces and evaluates MammouS-N, a novel automated ultrasound system for breast imaging, and compares its performance with digital breast tomosynthesis.
Findings
MammouS-N showed significantly higher visibility scores for non-calcified lesions compared to digital breast tomosynthesis.
Ultrasound provided superior visualization of non-calcified lesions without radiation exposure.
MammouS-N is a promising complementary tool for breast cancer screening in women with dense breast tissue.
Abstract
Dense breast tissue complicates breast cancer detection using mammography alone. This study compared digital breast tomosynthesis with a novel standing automated breast ultrasound system in women with biopsy-confirmed breast cancer. Tomosynthesis effectively detected calcified lesions, while ultrasound provided superior visualization of non-calcified lesions without radiation exposure. The ultrasound system offers automated and reproducible imaging that integrates seamlessly into existing workflows, making it a valuable complement to tomosynthesis, especially for women with dense breasts. These findings support further studies on combined imaging approaches to improve breast cancer screening and diagnosis. Background/Objectives: We compared the visibility of breast cancer using the newly developed standing automated breast ultrasound system (MammouS-N) and digital breast tomosynthesis…
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Taxonomy
TopicsDigital Radiography and Breast Imaging · Breast Lesions and Carcinomas · AI in cancer detection
