{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T14:00:19Z","timestamp":1785765619582,"version":"3.56.0"},"reference-count":40,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,4,27]],"date-time":"2024-04-27T00:00:00Z","timestamp":1714176000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal Orthopaedic Research"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>To validate 3D methods for femoral version measurement, we asked: (1) Can a fully automated segmentation of the entire femur and 3D measurement of femoral version using a neck based method and a head\u2010shaft based method be performed? (2) How do automatic 3D\u2010based computed tomography (CT) measurements of femoral version compare to the most commonly used 2D\u2010based measurements utilizing four different landmarks? Retrospective study (May 2017 to June 2018) evaluating 45 symptomatic patients (57 hips, mean age 18.7\u2009\u00b1\u20095.1 years) undergoing pelvic and femoral CT. Femoral version was assessed using four previously described methods (Lee, Reikeras, Tomczak, and Murphy). Fully\u2010automated segmentation yielded 3D femur models used to measure femoral version via femoral neck\u2010 and head\u2010shaft approaches. Mean femoral version with 95% confidence intervals, and intraclass correlation coefficients were calculated, and Bland\u2010Altman analysis was performed. Automatic 3D segmentation was highly accurate, with mean dice coefficients of 0.98\u2009\u00b1\u20090.03 and 0.97\u2009\u00b1\u20090.02 for femur\/pelvis, respectively. Mean difference between 3D head\u2010shaft\u2010 (27.4\u2009\u00b1\u200916.6\u00b0) and 3D neck methods (12.9\u2009\u00b1\u200913.7\u00b0) was 14.5\u2009\u00b1\u200910.7\u00b0 (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). The 3D neck method was closer to the proximal Lee (\u22122.4\u2009\u00b1\u20095.9\u00b0, \u22124.4 to 0.5\u00b0, <jats:italic>p<\/jats:italic>\u2009=\u20090.009) and Reikeras (2\u2009\u00b1\u20095.6\u00b0, 95% CI: 0.2 to 3.8\u00b0, <jats:italic>p<\/jats:italic>\u2009=\u20090.03) methods. The 3D head\u2010shaft method was closer to the distal Tomczak (\u22121.3\u2009\u00b1\u20097.5\u00b0, 95% CI: \u22123.8 to 1.1\u00b0, <jats:italic>p<\/jats:italic>\u2009=\u20090.57) and Murphy (1.5\u2009\u00b1\u20095.4\u00b0, \u22120.3 to 3.3\u00b0, <jats:italic>p<\/jats:italic>\u2009=\u20090.12) methods. Automatic 3D neck\u2010based\u2010\/head\u2010shaft methods yielded femoral version angles comparable to the proximal\/distal 2D\u2010based methods, when applying fully\u2010automated segmentations.<\/jats:p>","DOI":"10.1002\/jor.25865","type":"journal-article","created":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T06:29:24Z","timestamp":1714285764000},"page":"2237-2248","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Computed tomography\u2010based automated 3D measurement of femoral version: Validation against standard 2D measurements in symptomatic patients"],"prefix":"10.1002","volume":"42","author":[{"given":"Florian","family":"Schmaranzer","sequence":"first","affiliation":[{"name":"Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital Bern University Hospital, University of Bern Bern Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammadreza","family":"Movahhedi","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Sports Medicine Boston Children's Hospital, Harvard Medical School Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mallika","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Sports Medicine Boston Children's Hospital, Harvard Medical School Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer R.","family":"Kallini","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Sports Medicine Boston Children's Hospital, Harvard Medical School Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas K.","family":"Nanavati","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Traumatology, Inselspital Bern University Hospital, University of Bern Bern Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon D.","family":"Steppacher","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Traumatology, Inselspital Bern University Hospital, University of Bern Bern Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6578-5759","authenticated-orcid":false,"given":"Alexander F.","family":"Heimann","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Traumatology, HFR \u2013 Cantonal Hospital University of Fribourg Fribourg Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ata M.","family":"Kiapour","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery and Sports Medicine Boston Children's Hospital, Harvard Medical School Boston Massachusetts 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