Validation of a Machine Learning Model for Predicting Postmastectomy Radiotherapy Recommendation Following Immediate Breast Reconstruction
An ML model for predicting PMRT recommendations following IIBBR was validated. This prediction model may be helpful in the preoperative clinical setting to inform the discussion of reconstructive options.
Authors
- Kathryn V. Isaac (ORCID: https://orcid.org/0000-0002-9374-031X)
- Gregory Arbour (ORCID: https://orcid.org/0009-0008-7323-4701)
- Alan Nichol (ORCID: https://orcid.org/0000-0002-4146-881X)
- Yifu Chen (ORCID: https://orcid.org/0000-0003-4674-5705)
- Jaimie J. Lee (ORCID: https://orcid.org/0009-0009-6246-2773)
- Raymond T. Ng (ORCID: https://orcid.org/0000-0003-3692-8524)
Institutions
- University of British Columbia (CA)
Publication Details
- Journal
- Plastic & Reconstructive Surgery Global Open
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1097/gox.0000000000007311
- Primary Topic
- Breast Implant and Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00