{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T10:10:07Z","timestamp":1778148607706,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686608","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T00:00:00Z","timestamp":1778112000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,7]]},"abstract":"<jats:p>Background: TNM staging is essential for cancer registries but is often embedded in unstructured pathology reports, requiring manual extraction. Transformer-based models have recently been proposed for automated TNM classification from English pathology texts. Objectives: To assess the robustness and cross-lingual transferability of pre-trained English-language TNM classifiers applied without fine-tuning to German pathology reports. Methods: Three publicly available transformer-based TNM classifiers (T, N, M) were applied to a synthetic German pathology dataset of 109 breast, lung, and prostate cancer reports, using expert-assigned TNM labels as the gold standard. Results: The models achieved high precision and specificity but moderate sensitivity for tumor and nodal staging and low sensitivity for metastasis, frequently abstaining by predicting \u201cUnknown.\u201d Conclusion: English-trained TNM classifiers can extract staging information from German pathology reports in a zero-shot setting with high reliability when predictions are made, but reduced recall. This conservative behavior supports their use as high-precision screening tools in registry workflows and could be improved through limited domain adaptation.<\/jats:p>","DOI":"10.3233\/shti260089","type":"book-chapter","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T09:12:15Z","timestamp":1778145135000},"source":"Crossref","is-referenced-by-count":0,"title":["Zero-Shot TNM Staging from German Pathology Reports Using Pre-Trained Transformer Models (BB-TEN)"],"prefix":"10.3233","author":[{"given":"Hasan","family":"Taha","sequence":"first","affiliation":[{"name":"Health Data Competence Center, Tirol Kliniken GmbH, Innsbruck, Austria"},{"name":"Division for Digital Health and Telemedicine, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall i.T., Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Werner O.","family":"Hackl","sequence":"additional","affiliation":[{"name":"Health Data Competence Center, Tirol Kliniken GmbH, Innsbruck, Austria"},{"name":"Division for Digital Health and Telemedicine, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall i.T., Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabrina B.","family":"Neururer","sequence":"additional","affiliation":[{"name":"Health Data Competence Center, Tirol Kliniken GmbH, Innsbruck, Austria"},{"name":"Division for Digital Health and Telemedicine, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall i.T., Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patricia","family":"Gscheidlinger","sequence":"additional","affiliation":[{"name":"Health Data Competence Center, Tirol Kliniken GmbH, Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph","family":"Hickmann","sequence":"additional","affiliation":[{"name":"Health Data Competence Center, Tirol Kliniken GmbH, Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helmut","family":"M\u00fchlb\u00f6ck","sequence":"additional","affiliation":[{"name":"Health Data Competence Center, Tirol Kliniken GmbH, Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernhard E.","family":"Pfeifer","sequence":"additional","affiliation":[{"name":"Division for Digital Health and Telemedicine, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall i.T., Austria"},{"name":"Tyrolean Federal Institute for Integrated Care, Tirol Kliniken GmbH, Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","dHealth 2026"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T09:12:16Z","timestamp":1778145136000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260089"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,7]]},"ISBN":["9781643686608"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260089","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,7]]}}}