{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T09:42:10Z","timestamp":1792662130142,"version":"4.5.0"},"reference-count":27,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T00:00:00Z","timestamp":1783814400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T00:00:00Z","timestamp":1783814400000},"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":["Intl Journal of Cancer"],"published-print":{"date-parts":[[2026,12,15]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    To improve the prediction of relapse for clinical stage I seminoma, we aimed to validate the Boormans model (incorporating tumor size, rete testis invasion, and lymphovascular invasion) against the conventional classification (tumor size &gt;\u20094\u2009cm\/rete testis invasion). Consecutive cSI seminoma patients managed with active surveillance after orchidectomy across multiple centers were retrospectively analyzed (1994\u20132024). Part of the data was provided by the prospective Swiss\u2010Austrian\u2010German Testicular Cancer Cohort Study Group. The primary outcome was relapse. Among the 1025 patients, 116 (11.3%) relapsed during a median follow\u2010up of 45\u2009months (95% CI 42\u201348). In the descriptive multivariable analysis, TS (HR 1.03, 95% CI 1.01\u20131.04) and RTI (HR 2.73, 95% CI 1.83\u20134.06) were found to be independent predictors of relapse. The Boormans model classified 645 (62.9%) men as low\u2010, 356 (34.7%) as intermediate\u2010, and 24 (2.3%) men as high\u2010risk candidates. The 5\u2010year relapse risk was 0.07 (95% CI 0.04\u20130.09), 0.24 (0.19\u20130.29), and 0.35 (0.10\u20130.53) for the low\u2010, intermediate\u2010, and high\u2010risk groups, respectively. The Boormans model outperformed the conventional model (\n                    <jats:italic>C<\/jats:italic>\n                    \u2010index 0.66 vs. 0.61; \u03940.06,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001). Despite improved discrimination, clinical utility was limited across risk\u2010adapted treatment scenarios compared with the conventional model. The Boormans model demonstrated superior discrimination but limited gains in clinical utility. Integrating novel biomarkers may enable more accurate, risk\u2010adapted management.\n                  <\/jats:p>","DOI":"10.1002\/ijc.70647","type":"journal-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T03:57:16Z","timestamp":1783915036000},"page":"3008-3015","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparison of Relapse Risk Prediction Models During Active Surveillance in Stage I Seminoma: A Retrospective Multicenter Cohort Study"],"prefix":"10.1002","volume":"159","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8402-8574","authenticated-orcid":false,"given":"Andreas","family":"Banner","sequence":"first","affiliation":[{"name":"Department of Urology Klinik Favoriten  Vienna Austria"},{"name":"Department of Social and Preventive Medicine, Center for Public Health Medical University of Vienna  Vienna 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