Comparison of Clinical Performance Between Digital Breast Tomosynthesis and MammouS-N
<b>Background/Objectives</b>: We compared the visibility of breast cancer using the newly developed standing automated breast ultrasound system (MammouS-N) and digital breast tomosynthesis (DBT), and identified factors influencing lesion visibility. <b>Methods</b>: We prospectively enrolled 100 women (mean age: 51.6 years; range: 26-76 years) who were diagnosed with breast cancer and were scheduled to undergo DBT between January and July 2024. They underwent DBT and an ultrasound on the same day. Two radiologists evaluated the visibility scores (0-5) of lesions corresponding to biopsy-confirmed breast cancers identified using magnetic resonance imaging. The Wilcoxon signed-rank test was used to compare the visibility scores of cancers identified on DBT and/or MammouS-N images. <b>Results</b>: Among the 100 women, invasive ductal carcinoma was the most common malignancy (73%). DBT findings included negative findings (7%), masses (46%), masses with calcification (29%), calcifications only (15%), and architectural distortions (3%). On MammouS-N ultrasound, most lesions were classified as masses (93%), whereas 7% were non-mass lesions. For Reviewer 1, MammouS-N demonstrated significantly higher visibility scores (higher scores: 26 on MammouS-N, seven on DBT; equal scores: 67, z = -3.234, <i>p</i> = 0.001). For Reviewer 2, the two modalities showed no significant difference in visibility (higher scores: 27 on MammouS-N, 28 on DBT, equal scores: 45, z = -0.040, <i>p</i> = 0.968). Noncalcified lesions that were obscured on DBT were better visualized on MammouS-N (<i>p</i> < 0.001) by both reviewers. <b>Conclusions</b>: MammouS-N holds promise as an imaging modality complementary to DBT in women with dense breast tissue, particularly for non-calcified lesion detection.
Authors
- Sung Ui Shin (ORCID: https://orcid.org/0000-0001-6049-8419)
- Yoon Yeong Choi (ORCID: https://orcid.org/0000-0003-2702-1779)
- S. Kim
- Bo La Yun
- Su Min Cho
- Min Jung Kim
- Bohyoung Kim
- Mijung Jang
Institutions
- Yonsei University (KR)
- Severance Hospital (KR)
- Seoul National University Bundang Hospital (KR)
- Hankuk University of Foreign Studies (KR)
Publication Details
- Journal
- Tomography
- Published
- 2026-01-30
- DOI
- https://doi.org/10.3390/tomography12020017
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00