{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:01:25Z","timestamp":1757617285220,"version":"3.44.0"},"reference-count":31,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515110599"],"award-info":[{"award-number":["2020A1515110599"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Reports"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>Pineoblastomas (PBs) are rare central nervous system tumors primarily affecting children and adolescents, with limited data on clinical characteristics and survival outcomes. Prognosis prediction models for this disease are lacking. The purpose of this study was to develop deep learning (DL) models for predicting 3\u2010year survival in patients with pineoblastoma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Patients with pineoblastomas of all ages were identified from the Surveillance, Epidemiology, and End Results (SEER) database (1975\u20132019). Deep neural networks (DNN) were trained and tested at a ratio of 7:3 in a 5\u2010fold cross\u2010validated fashion. Multivariate CPH models were constructed for comparison. The primary outcomes were 3\u2010year overall survival (OS) and disease\u2010specific survival (DSS). All the variables were included in the analysis. Receiver operating characteristic (ROC) curve analysis and calibration plots were used to evaluate the model performance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 145 patients were included in this study. The area under the curve (AUC) for the DNN models was 0.92, 0.91, and 0.749 for OS and 0.76 for DSS. The DNN models exhibited good calibration: the OS model (slope\u2009=\u20090.94, intercept\u2009=\u20090.07) and DSS model (slope\u2009=\u20090.81, intercept\u2009=\u20090.20).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our DNN models showed a more accurate prediction of survival outcomes in patients with pineoblastoma than the widely used CPH models. These results indicate the potential of DL algorithms to improve outcome prediction in patients with rare tumors.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cnr2.70303","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T07:11:33Z","timestamp":1754550693000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Validation of Survival Prediction Models for Patients With Pineoblastomas Using Deep Learning: A <scp>SEER<\/scp>\u2010Based Study"],"prefix":"10.1002","volume":"8","author":[{"given":"Xuanzi","family":"Li","sequence":"first","affiliation":[{"name":"The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiotherapy of The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingpeng","family":"Peng","sequence":"additional","affiliation":[{"name":"The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueqiang","family":"You","sequence":"additional","affiliation":[{"name":"School of Innovative Engineering Macao University of Science and Technology  Macao Macao Special Administrative Region China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunli","family":"Peng","sequence":"additional","affiliation":[{"name":"The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyang","family":"Wang","sequence":"additional","affiliation":[{"name":"The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dasong","family":"Zha","sequence":"additional","affiliation":[{"name":"The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0049-8497","authenticated-orcid":false,"given":"Chuntao","family":"Deng","sequence":"additional","affiliation":[{"name":"Department of Radiotherapy of The Cancer Center The Fifth Affiliated Hospital of Sun Yat\u2010sen University  Zhuhai Guang dong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-05029-3"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/nop\/npac009"},{"issue":"5","key":"e_1_2_11_4_1","doi-asserted-by":"crossref","first-page":"v1","DOI":"10.1093\/neuonc\/noac202","article-title":"CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2015\u20102019","volume":"24","author":"Ostrom Q. 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