Computational Modeling of Patient-Specific Healing and Deformation Outcomes Following Breast-Conserving Surgery Based on MRI Data
This framework has the potential to provide a personalized, predictive tool for surgical planning and decision-making, enabling clinicians and patients to anticipate healing trajectories and cosmetic outcomes, with the goal of optimizing surgical results and enhancing patient quality of life.
Authors
- Adrián Buganza Tepole (ORCID: https://orcid.org/0000-0001-8531-0603)
- Zachary Harbin (ORCID: https://orcid.org/0009-0000-9204-9626)
- Sherry L. Voytik‐Harbin (ORCID: https://orcid.org/0000-0001-6210-3724)
- Carla Suzanne Fisher
Institutions
- Purdue University West Lafayette (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Annals of Biomedical Engineering
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1007/s10439-025-03902-z
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Division of Civil, Mechanical and Manufacturing Innovation