{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T09:44:29Z","timestamp":1785750269612,"version":"3.56.0"},"reference-count":32,"publisher":"IOP Publishing","issue":"15","license":[{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62075042\uff0c62205060"],"award-info":[{"award-number":["62075042\uff0c62205060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guangdong Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology","award":["2020B1212030010"],"award-info":[{"award-number":["2020B1212030010"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2026,8,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . To develop a robust and accurate multi-parameter assessment framework for adolescent idiopathic scoliosis based on spinal x-ray images, overcoming the limitations of traditional Cobb angle (CA)-based evaluation.\n                    <jats:italic>Approach<\/jats:italic>\n                    . We proposed a dual-view labeling protocol and employed a Residual U-Net architecture to segment vertebral bodies in 700 paired anteroposterior and lateral x-rays. A novel Local Sine-based Spinal Projection Model was introduced to calculate vertebral inclination angles and derive consecutive CAs. Additional spinal parameters, including coronal balance (T1PL-CSVL), force line (FL), and FL balance, were computed to enable comprehensive spinal evaluation.\n                    <jats:italic>Main results<\/jats:italic>\n                    . The proposed method achieved a vertebral segmentation Dice coefficient of 94.7%. The mean absolute error of the CA was\n                    <jats:inline-formula>\n                      <jats:tex-math>\n                        \n                      <\/jats:tex-math>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:msup>\n                            <mml:mn>2.71<\/mml:mn>\n                            <mml:mo>\u2218<\/mml:mo>\n                          <\/mml:msup>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    , outperforming the minimum bounding rectangle method (\n                    <jats:inline-formula>\n                      <jats:tex-math>\n                        \n                      <\/jats:tex-math>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:msup>\n                            <mml:mn>3.46<\/mml:mn>\n                            <mml:mo>\u2218<\/mml:mo>\n                          <\/mml:msup>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ) and novice manual measurements (\n                    <jats:inline-formula>\n                      <jats:tex-math>\n                        \n                      <\/jats:tex-math>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:msup>\n                            <mml:mn>5.40<\/mml:mn>\n                            <mml:mo>\u2218<\/mml:mo>\n                          <\/mml:msup>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ), with an intraclass correlation coefficient of 0.958. In diagnostic grading, 120 out of 142 patients were correctly classified (84.5% success rate). Longitudinal follow-up demonstrated accurate tracking of structural improvements and coronal balance recovery following conservative treatment.\n                    <jats:italic>Significance<\/jats:italic>\n                    . This approach enables automatic, precise, and comprehensive scoliosis evaluation by integrating fine-grained segmentation with geometric modeling of spinal curvature. The proposed method improves spinal assessment accuracy and facilitates longitudinal scoliosis monitoring, offering substantial clinical utility and impact in computer-aided orthopedic diagnosis.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ae8ca3","type":"journal-article","created":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T22:55:45Z","timestamp":1784328945000},"page":"155009","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-parameter scoliosis evaluation from dual-view x-rays via a local sine-based projection model"],"prefix":"10.1088","volume":"71","author":[{"given":"Xianbin","family":"Wang","sequence":"first","affiliation":[{"name":"The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guobao","family":"Ma","sequence":"additional","affiliation":[{"name":"Foshan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenrui","family":"Wu","sequence":"additional","affiliation":[{"name":"Foshan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9862-3657","authenticated-orcid":true,"given":"Wenzheng","family":"Ding","sequence":"additional","affiliation":[{"name":"Foshan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Honglian","family":"Xiong","sequence":"additional","affiliation":[{"name":"Foshan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyi","family":"Wang","sequence":"additional","affiliation":[{"name":"Foshan University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"pmbae8ca3bib1","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1302\/0301-620X.98B9.37273","type":"journal-article","article-title":"Coronal imbalance in degenerative lumbar scoliosis: prevalence and influence on surgical decision-making for spinal osteotomy","volume":"98","author":"Bao","year":"2016","journal-title":"Bone Joint J."},{"key":"pmbae8ca3bib2","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1053\/crad.2001.0909","type":"journal-article","article-title":"Imaging in scoliosis: what, why and how?","volume":"57","author":"Cassar-Pullicino","year":"2002","journal-title":"Clin. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2026-01-21","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-07-17","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-08-03","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}