aceAn artificial intelligence algorithm characterizes the deterioration of body composition from systemic therapy for patients with advanced prostate cancer
Skeletal muscle is a major determinant of functional status. The impact of advanced prostate cancer (aPC) systemic therapies on body composition is unknown. We identified aPC patients with serial PET-CTs receiving androgen deprivation therapy (ADT), androgen receptor pathway inhibitors (ARPI), chemotherapy, and/or Lutetium-177. An artificial intelligence algorithm quantified body composition changes from PET-CT images. Linear mixed effects models examined body composition changes over time by treatment type. The…
An automated PET-CT algorithm can measure body composition changes in advanced prostate cancer patients and identify those on systemic therapy who are at risk for muscle wasting.
Evidence
- Peer-reviewedJNCI: Journal of the National Cancer Institute2026-10-01
How should this claim be treated?
Truvace Impact Record TRV-2026-1416, v1: “An artificial intelligence algorithm characterizes the deterioration of body composition from systemic therapy for patients with advanced prostate cancer.” Truvace, 2026-10-15. /record/TRV-2026-1416 (accessed at citation time). sha256 11f6dab9085a3a1e…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1416 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.