Invasion prediction with artificial intelligence in ductal carcinoma in situ (DCIS) patients: a proof-of-concept study
The high NPV suggests AI-assisted mammography analysis could serve as an effective rule-out tool for invasion in DCIS patients, potentially identifying candidates for less aggressive surgical treatment. Further validation in larger, multi-center studies is necessary to confirm these findings.
Authors
- Levent Çelìk (ORCID: https://orcid.org/0000-0001-6692-0828)
- Osman Cem Yilmaz (ORCID: https://orcid.org/0000-0002-8418-0234)
- Ayhan Alpar (ORCID: https://orcid.org/0000-0003-0568-706X)
- Ceyda Sönmez Wetherilt (ORCID: https://orcid.org/0009-0002-5252-479X)
- Adnan Gündoğdu (ORCID: https://orcid.org/0000-0003-2341-3572)
- Sabzar Abdullah (ORCID: https://orcid.org/0009-0009-8046-8490)
Institutions
- Istanbul University-Cerrahpaşa (TR)
- Breast Center (CH)
- Education Training And Research (US)
- Istanbul Eye Hospital (TR)
Publication Details
- Journal
- BMC Surgery
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12893-025-03252-6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00