Artificial Intelligence‐Derived Intramuscular Adipose Tissue Assessment Predicts Perineal Wound Complications Following Abdominoperineal Resection
This study is the first to use AI derived 3D body composition analysis to assess perineal wound complications after APR. IMAT volume significantly influences wound healing in male patients having IGAM reconstruction.
Authors
- Ke Cao (ORCID: https://orcid.org/0000-0002-7437-8845)
- Lori J. Wirth (ORCID: https://orcid.org/0000-0002-2629-2289)
- Emina Hajdarevic
- A Besson (ORCID: https://orcid.org/0000-0001-9134-7509)
- Justin Yeung (ORCID: https://orcid.org/0000-0002-7230-149X)
- Rory Kokelaar (ORCID: https://orcid.org/0000-0002-1076-7294)
- Josephine Yeung
Institutions
- The University of Melbourne (AU)
- Footscray Hospital (AU)
- Western Health (AU)
- Melbourne Health (AU)
Publication Details
- Journal
- World Journal of Surgery
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1002/wjs.70095
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00