Artificial Intelligence–Based Assessment of Preoperative Body Composition is Associated With Early Complications After Radical Cystectomy
Automated AI body composition measurements preoperatively are associated with post-RCx complications. These measurements, in addition to patient (Eastern Cooperative Oncology Group performance status and smoking status) and surgical (robotic approach and continent diversion) characteristics, can then be used to individualize patient counseling and facilitate triage of nutritional and rehabilitation efforts.
Authors
- Boyd R. Viers (ORCID: https://orcid.org/0000-0003-2733-6623)
- Anthony Fadel (ORCID: https://orcid.org/0009-0004-8183-8047)
- Robert P. Hartman (ORCID: https://orcid.org/0000-0003-1994-6237)
- Igor Frank
- Matthew K. Tollefson (ORCID: https://orcid.org/0000-0002-9960-4124)
- Stephen A. Boorjian (ORCID: https://orcid.org/0000-0002-8705-6650)
- Daniel J. Blezek (ORCID: https://orcid.org/0000-0002-6498-6273)
- Prabin Bikram Thapa (ORCID: https://orcid.org/0000-0003-3304-2410)
- Robert F. Tarrell
- Lyndsay D. Viers
- Aaron M. Potretzke (ORCID: https://orcid.org/0000-0003-4619-1773)
- Sarah P. Psutka (ORCID: https://orcid.org/0000-0002-4207-7490)
- Vidit Sharma (ORCID: https://orcid.org/0000-0002-4715-5451)
Institutions
- Mayo Clinic (US)
- University of Washington (US)
- Fred Hutch Cancer Center (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- The Journal of Urology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1097/ju.0000000000004292
- Citations
- 8
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 2.75