{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T07:32:52Z","timestamp":1786692772734,"version":"build-2736575974"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100002839","name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100002839","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Oral Invest"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To test whether pre-operative primary CT-based 3D tumor volume (TV) improves prediction of cervical spread in oral squamous cell carcinoma (OSCC) beyond conventional size metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>\n                      We retrospectively analyzed 132 consecutive primary OSCC patients (2014\u20132019). Contrast-enhanced CT datasets were semi-automatically segmented to obtain 3D TV (cm\n                      <jats:sup>3<\/jats:sup>\n                      ), verified by a second observer. Multivariable logistic regression related log-TV to pathologic lymph-node metastasis (LNM), extranodal extension (ENE), and skip metastasis. Performance of radiologic TV, depth of invasion (DOI), and ellipsoid pathologic volume was compared by ROC\/AUC and decision-curve analyses.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Median CT-derived TV was 12.6 cm\n                      <jats:sup>3<\/jats:sup>\n                      . Log-TV independently predicted LNM (odds ratio 3.00, 95% CI 1.21\u20137.68; AUC 0.815), outperforming DOI (AUC 0.541) and pathologic volume (AUC 0.498). A non-linear pattern linked very small (&lt;\u20091.8 cm\n                      <jats:sup>3<\/jats:sup>\n                      ) and large (&gt;\u200916 cm\n                      <jats:sup>3<\/jats:sup>\n                      ) tumors to increased skip-metastasis probability (AUC 0.733). Radiologic and pathologic volumes showed minimal concordance (R\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20090.0002). Decision-curve analysis demonstrated consistent net benefit of the volume model across clinically relevant threshold probabilities for elective neck dissection.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CT-based 3D volumetry is an independent pre-operative predictor of cervical LNM, flags tumors prone to skip spread, and offers greater clinical utility than linear measures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Clinical relevance<\/jats:title>\n                    <jats:p>Integrating radiologic volumetry into staging could refine nodal management\u2014particularly in clinically node-negative patients\u2014by supporting risk-adapted selection between sentinel lymph-node biopsy and elective neck dissection; prospective validation is warranted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00784-026-07043-y","type":"journal-article","created":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T09:20:16Z","timestamp":1784798416000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Radiologic 3D tumor volume predicts cervical metastasis in oral squamous cell carcinoma"],"prefix":"10.1007","volume":"30","author":[{"given":"A.","family":"Schmitz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"Corneo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.","family":"Rendenbach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.","family":"Doll","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Elsholtz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.","family":"Kreutzer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Mrosk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Alfertshofer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Heiland","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Koerdt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,23]]},"reference":[{"key":"7043_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2024.1444326","volume":"14","author":"AS Ghanem","year":"2024","unstructured":"Ghanem AS, Memon HA, Nagy AC (2024) Evolving trends in oral cancer burden in Europe: a systematic review. 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