{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T09:06:11Z","timestamp":1785229571129,"version":"3.55.0"},"reference-count":40,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T00:00:00Z","timestamp":1576800000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81572665"],"award-info":[{"award-number":["81572665"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81872375"],"award-info":[{"award-number":["81872375"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>To explore the prognostic value and the role for treatment decision of pathological microscopic features in patients with nasopharyngeal carcinoma (NPC) using the method of deep learning.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The pathological microscopic features were extracted using the software QuPath (version 0.1.3. Queen's University) in the training cohort (Guangzhou training cohort, n\u00a0=\u00a0843). We used the neural network DeepSurv to analyze the pathological microscopic features (DSPMF) and then classified patients into high\u2010risk and low\u2010risk groups through the time\u2010dependent receiver operating characteristic (ROC). The prognosis accuracy of the pathological feature was validated in a validation cohort (n\u00a0=\u00a0212). The primary endpoint was progression\u2010free survival (PFS).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We found 429 pathological microscopic features in the H&amp;E image. Patients with high\u2010risk scores in the training cohort had shorter 5\u2010year PFS (HR 10.03, 6.06\u201016.61; <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.0001). The DSPMF (C\u2010index: 0.723) had the higher C\u2010index than the EBV DNA (C\u2010index: 0.612) copies and the N stage (C\u2010index: 0.593). Furthermore, induction chemotherapy (ICT) plus concomitant chemoradiotherapy (CCRT) had better 5\u2010year PFS to those received CCRT (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.0001) in the high\u2010risk group.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The DSPMF is a reliable prognostic tool for survival risk in patients with NPC and might be able to guide the treatment decision.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.2802","type":"journal-article","created":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T17:03:52Z","timestamp":1576861432000},"page":"1298-1306","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Deep learning pathological microscopic features in endemic nasopharyngeal cancer: Prognostic value and protentional role for individual induction chemotherapy"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4572-2018","authenticated-orcid":false,"given":"Kuiyuan","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou Guangdong China"},{"name":"Department of nasopharyngeal carcinoma Sun Yat\u2010sen University Cancer Centre Guangzhou Guangdong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2828-5963","authenticated-orcid":false,"given":"Weixiong","family":"Xia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou Guangdong China"},{"name":"Department of nasopharyngeal carcinoma Sun Yat\u2010sen University Cancer Centre Guangzhou Guangdong 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