{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:15:44Z","timestamp":1767183344479,"version":"3.37.3"},"reference-count":31,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/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>Pelvic tilt (PT) is an important parameter for orthopedic surgeries involving hip and spine, typically determined from sagittal pelvic radiographs. However, various challenges can compromise the feasibility of measurement from sagittal imaging, including obscured landmarks, anatomical variations, hardware interference, and limited medical resources. Addressing these challenges and with the aim of reducing radiation exposure to patients, our study developed a novel method to estimate PT from antero\u2010posterior (AP) radiographs, using vertical distances from the pelvic outlet and obturator foramen. We correlated these measurements with PT, defined both anatomically (anterior pelvic plane, PT<jats:sub>a<\/jats:sub>) and mechanically (centers of femoral heads and sacral plate, PT<jats:sub>m<\/jats:sub>). The study explored creating linear, exponential, and multivariate regression models based on twelve 3D CT\u2010derived pelvic models (six men, six women), simulating AP radiograph projections with controlled PTs. We then validated these models against 105 pairs of patient stereoradiographs. Statistical analysis revealed that combined exponential\u2010linear models yielded the most accurate results, with Pearson correlation coefficients of 0.75 for PT<jats:sub>a<\/jats:sub> and 0.77 for PT<jats:sub>m<\/jats:sub>, and mean absolute errors of 3.7\u00b0\u2009\u00b1\u20092.6\u00b0 for PT<jats:sub>a<\/jats:sub> and 4.5\u00b0\u2009\u00b1\u20093.4\u00b0 for PT<jats:sub>m<\/jats:sub>, showing excellent measurement reliability (all ICCs\u2009&gt;\u20090.9) without significant gender discrepancies. In conclusion, this study presents a validated, simple, and accessible method for estimating PT using AP radiograph parameters, supported by the Supporting Information S1: Excel Tool, showing great potential for clinical application in hip and spine procedures.<\/jats:p>","DOI":"10.1002\/jor.25907","type":"journal-article","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T13:39:46Z","timestamp":1717076386000},"page":"2318-2326","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Evaluating pelvic tilt using the pelvic antero\u2010posterior radiographs: A novel method"],"prefix":"10.1002","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6977-6155","authenticated-orcid":false,"given":"Yuan","family":"Chai","sequence":"first","affiliation":[{"name":"Sydney Muskuloskeletal Health, Kolling Institute, Northern Clinical School, Faculty of Medicine and Health University of Sydney Sydney New South Wales Australia"},{"name":"Institute of Future Health South China University of Technology Guangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. 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