{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T02:32:24Z","timestamp":1793241144175,"version":"4.5.0"},"reference-count":18,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Mayo Clinic CCaTS","award":["UL1TR002377"],"award-info":[{"award-number":["UL1TR002377"]}],"id":[{"id":"https:\/\/ror.org\/02qp3tb03","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Mayo Clinic CCaTS","award":["R01 AG081223"],"award-info":[{"award-number":["R01 AG081223"]}],"id":[{"id":"https:\/\/ror.org\/02qp3tb03","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>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 (ARPIs), 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 algorithm examined 2342 PET-CTs from 468 patients. On multivariable analysis, ADT was associated with a 9% reduction in muscle density (\u22121.91 Hounsfield units), ARPIs an additional 6% (\u22121.4 Hounsfield units), and Lutetium-177 a subsequent 6% (\u22121.3 Hounsfield units), demonstrating progressive reduction in muscle density across later stages of systemic therapy. This large longitudinal analysis of body composition in aPC patients supports the use of an automated PET-CT algorithm to identify aPC patients on systemic therapy at risk for muscle wasting.<\/jats:p>","DOI":"10.1093\/jnci\/djag349","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T11:21:20Z","timestamp":1790594480000},"source":"Crossref","is-referenced-by-count":0,"title":["An artificial intelligence algorithm characterizes the deterioration of body composition from systemic therapy for patients with advanced prostate cancer"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8036-7365","authenticated-orcid":false,"given":"Chloe","family":"Shi","sequence":"first","affiliation":[{"name":"Department of Urology, Mayo Clinic , Rochester, MN,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nancy","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Urology, Mayo 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