{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T05:11:39Z","timestamp":1792213899531,"version":"4.4.0"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100000038","name":"NSERC","doi-asserted-by":"crossref","award":["RES0048642"],"award-info":[{"award-number":["RES0048642"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100010090","name":"Women and Children's Health Research Institute","doi-asserted-by":"publisher","award":["RES0050278"],"award-info":[{"award-number":["RES0050278"]}],"id":[{"id":"10.13039\/100010090","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009192","name":"Alberta Innovates","doi-asserted-by":"crossref","award":["RES0060509"],"award-info":[{"award-number":["RES0060509"]}],"id":[{"id":"10.13039\/501100009192","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Spine J"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Purpose<\/jats:title>\n            <jats:p>To validate a fast 3D biplanar spinal radiograph reconstruction method with automatic extract curvature parameters using artificial intelligence (AI).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>Three-hundred eighty paired, posteroanterior and lateral, radiographs from the EOS X-ray system of children with adolescent idiopathic scoliosis were randomly selected from the database. For the AI model development, 304 paired images were used for training; 76 pairs were employed for testing. The validation was evaluated by comparing curvature parameters, including Cobb angles (CA), apical axial vertebral rotation (AVR), kyphotic angle (T1\u2013T12 KA), and lordotic angle (L1\u2013L5 LA), to manual measurements from a rater with 8\u00a0years of scoliosis experience. The mean absolute differences\u2009\u00b1\u2009standard deviation (MAD\u2009\u00b1\u2009SD), the percentage of measurements within the clinically acceptable errors, the standard error of measurement (SEM), and the inter-method intraclass correlation coefficient ICC<jats:sub>[2,1]<\/jats:sub> were calculated. The average reconstruction speed of the 76 test images was recorded.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Among the 76 test images, 134 and 128 CA were exported automatically and measured manually, respectively. The MAD\u2009\u00b1\u2009SD for CA, AVR at apex, KA, and LA were 3.3\u00b0\u2009\u00b1\u20093.5\u00b0, 1.5\u00b0\u2009\u00b1\u20091.5\u00b0, 3.3\u00b0\u2009\u00b1\u20092.6\u00b0 and 3.5\u00b0\u2009\u00b1\u20092.5\u00b0, respectively, and 98% of these measurements were within the clinical acceptance errors. The SEMs and the ICC<jats:sub>[2,1]<\/jats:sub> for the compared parameters were all less than 0.7\u00b0 and\u2009&gt;\u20090.94, respectively. The average time to display the 3D spine and report the measurements was 5.2\u2009\u00b1\u20091.3\u00a0s.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The developed AI algorithm could reconstruct a 3D scoliotic spine within 6\u00a0s, and the automatic curvature parameters were accurately and reliably extracted from the reconstructed images.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00586-024-08375-7","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T03:40:43Z","timestamp":1719459643000},"page":"1614-1621","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Validity of a fast automated 3d spine reconstruction measurements for biplanar radiographs: SOSORT 2024 award winner"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9212-0745","authenticated-orcid":false,"given":"Weiying","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2563-8636","authenticated-orcid":false,"given":"Mahdieh","family":"Khodaei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4783-0717","authenticated-orcid":false,"given":"Marek","family":"Reformat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7531-8377","authenticated-orcid":false,"given":"Edmond","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,27]]},"reference":[{"key":"8375_CR1","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1016\/S0140-6736(08)60658-3","volume":"371","author":"S Weinstein","year":"2008","unstructured":"Weinstein S, Dolan L, Cheng J et al (2008) Adolescent idiopathic scoliosis. 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