{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:41:15Z","timestamp":1768340475562,"version":"3.49.0"},"reference-count":36,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:00:00Z","timestamp":1766448000000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012353","name":"German Cancer Consortium","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012353","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Metastatic uveal melanoma (MUM) has a poor prognosis, but hepatic arterial infusion chemotherapy (HAIC) may improve outcomes in patients with hepatic metastases. To identify reliable prognostic factors for patient stratification and treatment allocation, we analyzed the clinical and imaging data from a large single-center cohort using machine learning (ML) models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Pre\u2013 and post\u2013first treatment clinical data of 235 patients with MUM treated with HAIC between 2009 and 2019 were retrospectively analyzed using Cox regression to identify prognostic factors for overall survival (OS) and time to change treatment strategy (TTCS). Furthermore, ML models were trained on clinical and computed tomography (CT) data for endpoint prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Pre-treatment multi-variate analysis identified elevated lactate dehydrogenase (LDH) (OS: 6.5 vs. 16.4 months, hazard ratio [HR])\u2009=\u20091.87, P\u2009=\u20090.006) and gamma-glutamyl transpeptidase (GGT) (OS: 7.6 vs. 16.4 months, HR\u2009=\u20091.67, P\u2009=\u20090.012) as prognostic factors for inferior OS. Decreased albumin (TTCS: 1.3 vs. 6.1 months, HR\u2009=\u20096.26, P\u2009&amp;lt;\u20090.001) and elevated LDH (TTCS: 2.9 vs. 7.6 months, HR\u2009=\u20091.72, P\u2009=\u20090.011) and alanine aminotransferase (ALT) (TTCS: 3.7 vs. 6.4 months, HR\u2009=\u20091.65, P\u2009=\u20090.004) predicted shorter TTCS. Scoring enhanced the power of the prognosticators for OS and TTCS. Post\u2013first treatment multi-variate analysis emphasized the importance of inflammation management and liver protection. ML models incorporating radiomics features from baseline CT imaging were not superior to models based on pre-treatment clinical data alone.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We identified independent but synergistic prognostic factors for outcome stratification to guide treatment decisions and optimize patient management. ML-based radiomics features did not significantly enhance prognostic performance.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/oncolo\/oyaf385","type":"journal-article","created":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T12:55:46Z","timestamp":1766148946000},"source":"Crossref","is-referenced-by-count":0,"title":["Clinical and radiomics parameter prognostication in metastatic uveal melanoma patients treated with hepatic arterial infusion chemotherapy"],"prefix":"10.1093","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1373-0840","authenticated-orcid":false,"given":"Tanja","family":"Gromke","sequence":"first","affiliation":[{"name":"West German Cancer Center, Department of Medical Oncology, University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juliane","family":"Durand","sequence":"additional","affiliation":[{"name":"West German Cancer Center, 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50937,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7712-5920","authenticated-orcid":false,"given":"Sven T","family":"Liffers","sequence":"additional","affiliation":[{"name":"West German Cancer Center, Bridge Institute of Experimental Tumor Therapy (BIT) and Division of Solid Tumor Translational Oncology (DKTK), University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]},{"name":"German Cancer Consortium (DKTK), a Partnership between German Cancer Research Center (DKFZ) and University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6081-0978","authenticated-orcid":false,"given":"Heike","family":"Richly","sequence":"additional","affiliation":[{"name":"West German Cancer Center, Department of Medical Oncology, University Hospital Essen, University of 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Radiology and Nuclear Medicine, Berufsgenossenschaftliches Universit\u00e4tsklinikum Bergmannsheil GmbH, Ruhr University Bochum , Bochum 44789,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0090-4080","authenticated-orcid":false,"given":"Halime","family":"Kalkavan","sequence":"additional","affiliation":[{"name":"West German Cancer Center, Department of Medical Oncology, University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0180-1112","authenticated-orcid":false,"given":"Nikolaos E","family":"Bechrakis","sequence":"additional","affiliation":[{"name":"National Center for Tumor Diseases (NCT) West, University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]},{"name":"Department of Ophthalmology, University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2166-3394","authenticated-orcid":false,"given":"Martin","family":"Schuler","sequence":"additional","affiliation":[{"name":"West German Cancer Center, Department of Medical Oncology, University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]},{"name":"German Cancer Consortium (DKTK), a Partnership between German Cancer Research Center (DKFZ) and University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]},{"name":"National Center for Tumor Diseases (NCT) West, University Hospital Essen, University of Duisburg-Essen , Essen 45122,","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6039-6957","authenticated-orcid":false,"given":"Rickmer","family":"Braren","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and 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