{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:59:22Z","timestamp":1780635562115,"version":"3.54.1"},"reference-count":32,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T00:00:00Z","timestamp":1743638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontierspartnerships.org"],"crossmark-restriction":true},"short-container-title":["Transpl. Int."],"abstract":"<jats:p>This study developed a predictive model for Post-Transplant Diabetes Mellitus (PTDM) by integrating clinical and radiological data to identify at-risk kidney transplant recipients. In a retrospective analysis across three Mayo Clinic sites, clinical metrics were combined with deep learning analysis of pre-transplant CT images, focusing on body composition parameters like adipose tissue and muscle mass instead of BMI or other biomarkers. Among 2,005 nondiabetic kidney recipients, 335 (16.7%) developed PTDM within the first year. PTDM patients were older, had higher BMIs, elevated triglycerides, and were more likely to be male and non-White. They exhibited lower skeletal muscle area, greater visceral adipose tissue (VAT), more intermuscular fat, and higher subcutaneous fat (all p &amp;lt; 0.001). Multivariable analysis identified age (OR: 1.05, 95% CI: 1.03\u20131.08, p &amp;lt; 0.0001), family diabetes history (OR: 1.55, CI: 1.14\u20132.09, p = 0.0061), White race (OR: 0.43, CI: 0.28\u20130.66, p &amp;lt; 0.0001), and VAT area (OR: 1.37, CI: 1.14\u20131.64, p = 0.0009) as predictors. The combined model achieved C-statistic of 0.724 (CI: 0.692\u20130.757), outperforming the clinical-only model (C-statistic 0.68). Patients with PTDM in the first year had higher mortality than those without PTDM. This model improves predictive precision, enabling accurate identification and intervention for at risk patients.<\/jats:p>","DOI":"10.3389\/ti.2025.14377","type":"journal-article","created":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T04:13:31Z","timestamp":1743653611000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Clinical and Radiological Fusion: A New Frontier in Predicting Post-Transplant Diabetes Mellitus"],"prefix":"10.3389","volume":"38","author":[{"given":"Pooja","family":"Budhiraja","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byron H.","family":"Smith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandra","family":"Kukla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy L.","family":"Kline","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panagiotis","family":"Korfiatis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark D.","family":"Stegall","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline C.","family":"Jadlowiec","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wisit","family":"Cheungpasitporn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hani M.","family":"Wadei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yogish C.","family":"Kudva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salah","family":"Alajous","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suman S.","family":"Misra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hay Me","family":"Me","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ian P.","family":"Rios","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harini A.","family":"Chakkera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,4,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.2337\/dc12-2067","article-title":"Can New-Onset Diabetes after Kidney Transplant Be Prevented?","volume":"36","author":"Chakkera","year":"2013","journal-title":"Diabetes Care"},{"key":"B2","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.trim.2013.10.006","article-title":"New Onset of Diabetes after Transplantation - 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