Enhancing Diagnostic Precision in Breast Cancer Detection: A Digital Breast Tomosynthesis Workshop Approach for Clinicians in the Southeast Asian Population
Training sessions with simultaneous-double readers significantly improved Vietnamese clinicians' breast cancer detection capabilities, highlighting the importance of tailored educational programs to enhance diagnostic accuracy in regions lacking formal screening initiatives.
Authors
- Linh T. Nguyen (ORCID: https://orcid.org/0000-0002-3228-6520)
- Dania Abu Awwad (ORCID: https://orcid.org/0000-0003-4327-0724)
- Lam Le Ngo
- Jillian Clarke (ORCID: https://orcid.org/0000-0003-3241-1229)
- J.M. O'Sullivan
- Nguyen Thi Hao
- Due The Ong
- Garvin Williamsz
- Sarah Jayne Lewis (ORCID: https://orcid.org/0000-0002-4791-9845)
- Phuong Dung Trieu (ORCID: https://orcid.org/0000-0001-7021-6331)
- Melissa L. Barron (ORCID: https://orcid.org/0000-0002-1143-5486)
- Oanh T. Tran
Institutions
- Camden and Campbelltown Hospitals (AU)
- The University of Sydney (AU)
- Hanoi Medical University (VN)
- BreastScreen WA (AU)
- Health Strategy and Policy Institute (VN)
- Vietnam National Children's Hospital (VN)
- Breastscreen Victoria (AU)
- Western Sydney University (AU)
Publication Details
- Journal
- Asia-Pacific Journal of Clinical Oncology
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1111/ajco.70033
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Government
- University of Sydney
- Sydney Southeast Asia Centre, University of Sydney