{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T11:26:43Z","timestamp":1786706803371,"version":"build-2736575974"},"reference-count":28,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T00:00:00Z","timestamp":1770249600000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To evaluate the independent predictive value of tumour\u2013periprostatic adipose tissue (PPAT) interface features on preoperative multiparametric magnetic resonance imaging (mpMRI) for extraprostatic extension (EPE) in prostate cancer and to compare discrimination and clinical net benefit with a baseline clinical model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This single\u2010centre retrospective cohort included patients who underwent radical prostatectomy with mpMRI completed within 8\u2009weeks. On a single axial slice at maximum tumour diameter, five simplified interface features were measured using standard PACS tools: contact length, contact angle, T2 signal intensity ratio, interface apparent diffusion coefficient (3\u2010mm annular zone) and capsular integrity score (0\u20132 scale). A baseline clinical model (prostate\u2010specific antigen [PSA], PSA density, PI\u2010RADS and biopsy Gleason score) and a combined model (baseline variables plus LASSO\u2010selected interface features) were constructed. Bootstrap internal validation (1000 iterations) with bias correction was performed. Discrimination was assessed using the area under the curve (AUC), and calibration curves and decision curve analysis evaluated accuracy and net clinical benefit.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 240 patients were included, with an EPE prevalence of 34.2% (82\/240). The combined model achieved a bias\u2010corrected AUC of 0.823 (95% confidence interval [CI]: 0.768\u20130.878), suggesting improvement over the baseline model's AUC of 0.744 (95% CI: 0.680\u20130.808). Decision curve analysis revealed a higher net benefit for the combined model across clinically relevant threshold probabilities (10%\u201350%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Simplified tumour\u2013PPAT interface features independently predict EPE without increasing imaging complexity, improving discrimination and clinical value for preoperative risk stratification.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.71613","type":"journal-article","created":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T04:22:23Z","timestamp":1770351743000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Preoperative Multiparametric\n                    <scp>MRI<\/scp>\n                    \u2010Based Tumour\u2013Periprostatic Adipose Tissue Interface Characterisation for Extraprostatic Extension Prediction in Prostate Cancer"],"prefix":"10.1002","volume":"15","author":[{"given":"Subo","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Medical Imaging The Second People's Hospital of Lianyungang  Lianyungang Jiangsu China"},{"name":"Department of Medical Imaging Lianyungang Clinical College of Jiangsu University  Lianyungang Jiangsu China"},{"name":"Department of Medical Imaging The Second People's Hospital of Lianyungang Affiliated With Kangda College of Nanjing Medical University  Lianyungang Jiangsu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leiming","family":"Huo","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging The Second People's Hospital of Lianyungang  Lianyungang Jiangsu China"},{"name":"Department of Medical Imaging Lianyungang Clinical College of Jiangsu University  Lianyungang Jiangsu China"},{"name":"Department of Medical Imaging The Second People's Hospital of Lianyungang 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