{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T07:15:20Z","timestamp":1789802120358,"version":"4.0.1"},"reference-count":4,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T00:00:00Z","timestamp":1789776000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T00:00:00Z","timestamp":1789776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Virchows Arch"],"DOI":"10.1007\/s00428-026-04725-6","type":"journal-article","created":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T06:21:07Z","timestamp":1789798867000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comment on: \"deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy\""],"prefix":"10.1007","author":[{"given":"Lu","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6034-4905","authenticated-orcid":false,"given":"Xiaohu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,19]]},"reference":[{"key":"4725_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00428-026-04680-2","author":"M Takadate","year":"2026","unstructured":"Takadate M, Aizawa R, Numata Y et al (2026) Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy. Virchows Arch. https:\/\/doi.org\/10.1007\/s00428-026-04680-2","journal-title":"Virchows Arch"},{"key":"4725_CR2","doi-asserted-by":"publisher","first-page":"e069249","DOI":"10.1136\/bmj-2021-069249","volume":"377","author":"N van Geloven","year":"2022","unstructured":"van Geloven N, Giardiello D, Bonneville EF et al (2022) Validation of prediction models in the presence of competing risks: a guide through modern methods. BMJ 377:e069249. https:\/\/doi.org\/10.1136\/bmj-2021-069249","journal-title":"BMJ"},{"key":"4725_CR3","doi-asserted-by":"publisher","first-page":"e074820","DOI":"10.1136\/bmj-2023-074820","volume":"384","author":"RD Riley","year":"2024","unstructured":"Riley RD, Archer L, Snell KIE et al (2024) Evaluation of clinical prediction models (part 2): how to undertake an external validation study. BMJ 384:e074820. https:\/\/doi.org\/10.1136\/bmj-2023-074820","journal-title":"BMJ"},{"issue":"1","key":"4725_CR4","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1002\/(SICI)1097-0045","volume":"43","author":"RJ Cohen","year":"2000","unstructured":"Cohen RJ, McNeal JE, Baillie T (2000) Patterns of differentiation and proliferation in intraductal carcinoma of the prostate: significance for cancer progression. Prostate 43(1):11\u201319. https:\/\/doi.org\/10.1002\/(SICI)1097-0045::AID-PROS3>3.0.CO;2-B","journal-title":"Prostate"}],"container-title":["Virchows Archiv"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00428-026-04725-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00428-026-04725-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00428-026-04725-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T06:21:11Z","timestamp":1789798871000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00428-026-04725-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,19]]},"references-count":4,"alternative-id":["4725"],"URL":"https:\/\/doi.org\/10.1007\/s00428-026-04725-6","relation":{},"ISSN":["0945-6317","1432-2307"],"issn-type":[{"value":"0945-6317","type":"print"},{"value":"1432-2307","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,19]]},"assertion":[{"value":"9 September 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 September 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"During the preparation of this work, the authors used ChatGPT (OpenAI) in order to assist with grammar corrections and improve the readability of the text. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.","order":3,"name":"Ethics","label":"Declaration of generative AI and AI-assisted technologies in the manuscript preparation process","group":{"name":"EthicsHeading","label":"Declarations"}}]}}