{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T17:14:10Z","timestamp":1789578850586,"version":"build-2803163510"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Bone"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.bone.2025.117735","type":"journal-article","created":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T00:54:01Z","timestamp":1763772841000},"page":"117735","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["AI-supported opportunistic detection of vertebral fractures on routine CT scans: Diagnostic performance and clinical relevance"],"prefix":"10.1016","volume":"203","author":[{"given":"Martina","family":"Behanova","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anton","family":"Sokhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judith","family":"Haschka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahin","family":"Zandieh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph","family":"Salzlechner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Ljuhar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jochen","family":"Zwerina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roland","family":"Kocijan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.bone.2025.117735_bb0005","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.bone.2019.01.009","article-title":"Prevalent vertebral fracture on bone density lateral spine (VFA) images in routine clinical practice predict incident fractures","volume":"121","author":"Schousboe","year":"2019","journal-title":"Bone"},{"issue":"8","key":"10.1016\/j.bone.2025.117735_bb0010","article-title":"Red flags to screen for vertebral fracture in people presenting with low back pain","volume":"8","author":"Han","year":"2023","journal-title":"Cochrane Database Syst. Rev."},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0015","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1093\/ageing\/afs003","article-title":"Effect of vertebral fractures on function, quality of life and hospitalisation the AGES-Reykjavik study","volume":"41","author":"Siggeirsdottir","year":"2012","journal-title":"Age Ageing"},{"key":"10.1016\/j.bone.2025.117735_bb0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.bone.2021.115868","article-title":"Associations of clinically recognized vs unrecognized vertebral fracture with mortality","volume":"145","author":"Schousboe","year":"2021","journal-title":"Bone"},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0025","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1007\/s00198-020-05804-3","article-title":"Vertebral fracture: epidemiology, impact and use of DXA vertebral fracture assessment in fracture liaison services","volume":"32","author":"Lems","year":"2021","journal-title":"Osteoporos. Int."},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0030","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1016\/j.ejrad.2007.11.036","article-title":"Prevalence of thoracolumbar vertebral fractures on multidetector CT: underreporting by radiologists","volume":"69","author":"Bartalena","year":"2009","journal-title":"Eur. J. Radiol."},{"issue":"7","key":"10.1016\/j.bone.2025.117735_bb0035","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1007\/s001980070078","article-title":"Recognition of vertebral fracture in a clinical setting","volume":"11","author":"Gehlbach","year":"2000","journal-title":"Osteoporos. Int."},{"issue":"6","key":"10.1016\/j.bone.2025.117735_bb0040","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1007\/s00223-003-0064-y","article-title":"Evaluation of vertebral fractures on lateral chest radiographs of inner-city postmenopausal women","volume":"73","author":"Mui","year":"2003","journal-title":"Calcif. Tissue Int."},{"issue":"2","key":"10.1016\/j.bone.2025.117735_bb0045","doi-asserted-by":"crossref","first-page":"297","DOI":"10.2214\/ajr.182.2.1820297","article-title":"Underreporting of vertebral fractures on routine chest radiography","volume":"182","author":"Kim","year":"2004","journal-title":"AJR Am. J. Roentgenol."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0050","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.ejrad.2007.08.028","article-title":"Under-reporting of osteoporotic vertebral fractures on computed tomography","volume":"69","author":"Williams","year":"2009","journal-title":"Eur. J. Radiol."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0055","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1148\/radiol.13121632","article-title":"Unreported vertebral body compression fractures at abdominal multidetector CT","volume":"268","author":"Carberry","year":"2013","journal-title":"Radiology"},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0060","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/s00198-021-06169-x","article-title":"Epidemiology and reporting of osteoporotic vertebral fractures in patients with long-term hospital records based on routine clinical CT imaging","volume":"33","author":"L\u00f6ffler","year":"2022","journal-title":"Osteoporos. Int."},{"issue":"10","key":"10.1016\/j.bone.2025.117735_bb0065","doi-asserted-by":"crossref","first-page":"399","DOI":"10.4329\/wjr.v2.i10.399","article-title":"Incidental vertebral compression fractures in imaging studies: lessons not learned by radiologists","volume":"2","author":"Bartalena","year":"2010","journal-title":"World J. Radiol."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0070","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1007\/s11657-020-00871-9","article-title":"SCOPE 2021: a new scorecard for osteoporosis in Europe","volume":"16","author":"Kanis","year":"2021","journal-title":"Arch. Osteoporos."},{"issue":"4","key":"10.1016\/j.bone.2025.117735_bb0075","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1210\/clinem\/dgac702","article-title":"New horizons: artificial intelligence tools for managing osteoporosis","volume":"108","author":"Dimai","year":"2023","journal-title":"J. Clin. Endocrinol. Metab."},{"key":"10.1016\/j.bone.2025.117735_bb0080","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.clinimag.2023.04.015","article-title":"Application of an artificial intelligence ensemble for detection of important secondary findings on lung ventilation and perfusion SPECT-CT","volume":"100","author":"Smith","year":"2023","journal-title":"Clin. Imaging"},{"issue":"6","key":"10.1016\/j.bone.2025.117735_bb0085","doi-asserted-by":"crossref","first-page":"2486","DOI":"10.21037\/qims-20-1037","article-title":"Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance","volume":"11","author":"Rueckel","year":"2021","journal-title":"Quant. Imaging Med. Surg."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0090","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/s11657-025-01524-5","article-title":"Breaking the silence: AI\u2019s contribution to detecting vertebral fractures in opportunistic CT scans in the elderly\u2014a validation study","volume":"20","author":"Sp\u00e5ngeus","year":"2025","journal-title":"Arch. Osteoporos."},{"key":"10.1016\/j.bone.2025.117735_bb0095","doi-asserted-by":"crossref","DOI":"10.1177\/1759720X211024029","article-title":"Opportunistic diagnosis of osteoporosis, fragile bone strength and vertebral fractures from routine CT scans; a review of approved technology systems and pathways to implementation","volume":"13","author":"Aggarwal","year":"2021","journal-title":"Ther. Adv. Musculoskelet. Dis."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0100","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s11914-022-00764-5","article-title":"Opportunistic screening techniques for analysis of CT scans","volume":"21","author":"Engelke","year":"2023","journal-title":"Curr. Osteoporos. Rep."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0105","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/s00198-023-06903-7","article-title":"External validation of a convolutional neural network algorithm for opportunistically detecting vertebral fractures in routine CT scans","volume":"35","author":"Nicolaes","year":"2024","journal-title":"Osteoporos. Int."},{"key":"10.1016\/j.bone.2025.117735_bb0110","series-title":"Docker Container for the VerSe20 Challenge","author":"Payer","year":"2020"},{"issue":"4","key":"10.1016\/j.bone.2025.117735_bb0115","article-title":"A vertebral segmentation dataset with fracture grading, radiology","volume":"2","author":"L\u00f6ffler","year":"2020","journal-title":"Artif Intell"},{"key":"10.1016\/j.bone.2025.117735_bb0120","series-title":"A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data","author":"Liebl","year":"2021"},{"key":"10.1016\/j.bone.2025.117735_bb0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102166","article-title":"VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images","volume":"73","author":"Sekuboyina","year":"2021","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0130","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1038\/s41597-021-01060-0","article-title":"A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data","volume":"8","author":"Liebl","year":"2021","journal-title":"Sci. Data"},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0135","doi-asserted-by":"crossref","first-page":"276","DOI":"10.11613\/BM.2012.031","article-title":"Interrater reliability: the kappa statistic","volume":"22","author":"McHugh","year":"2012","journal-title":"Biochem. Med. (Zagreb)"},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0140","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1148\/radiol.2017162100","article-title":"Vertebral body compression fractures and bone density: automated detection and classification on CT images","volume":"284","author":"Burns","year":"2017","journal-title":"Radiology"},{"issue":"5","key":"10.1016\/j.bone.2025.117735_bb0145","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1007\/s00330-018-5846-8","article-title":"Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning","volume":"29","author":"Muehlematter","year":"2019","journal-title":"Eur. Radiol."},{"issue":"8","key":"10.1016\/j.bone.2025.117735_bb0150","first-page":"1113","article-title":"Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment, and evaluation of an AI algorithm","volume":"39","author":"Wiklund","year":"2024","journal-title":"J. Bone Miner. Res."},{"issue":"5","key":"10.1016\/j.bone.2025.117735_bb0155","doi-asserted-by":"crossref","first-page":"2428","DOI":"10.1007\/s10278-024-01135-5","article-title":"An automated vertebrae localization, segmentation, and osteoporotic compression fracture detection pipeline for computed tomographic imaging","volume":"37","author":"Y\u0131ld\u0131z Potter","year":"2024","journal-title":"J. Imaging Inform. Med."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0160","doi-asserted-by":"crossref","first-page":"14408","DOI":"10.1038\/s41598-025-98518-7","article-title":"Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images","volume":"15","author":"D","year":"2025","journal-title":"Sci. Rep."},{"issue":"4","key":"10.1016\/j.bone.2025.117735_bb0165","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1097\/RCT.0000000000001726","article-title":"Validation of a deep learning tool for detection of incidental vertebral compression fractures","volume":"49","author":"Dai","year":"2025","journal-title":"J. Comput. Assist. Tomogr."},{"key":"10.1016\/j.bone.2025.117735_bb0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.crad.2025.106831","article-title":"Automated vertebral compression fracture detection and quantification on opportunistic CT scans: a performance evaluation","volume":"83","author":"Guenoun","year":"2025","journal-title":"Clin. Radiol."},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0175","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1055\/a-2673-6204","volume":"34","author":"Stangelmaier","year":"2025","journal-title":"Osteologie"},{"issue":"8","key":"10.1016\/j.bone.2025.117735_bb0180","doi-asserted-by":"crossref","first-page":"3269","DOI":"10.1093\/rheumatology\/keab878","article-title":"Fully automated opportunistic screening of vertebral fractures and osteoporosis on more than 150000 routine computed tomography scans","volume":"61","author":"Roux","year":"2022","journal-title":"Rheumatology (Oxford)"},{"issue":"4","key":"10.1016\/j.bone.2025.117735_bb0185","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1359\/JBMR.041214","article-title":"Underdiagnosis of vertebral fractures is a worldwide problem: the IMPACT study","volume":"20","author":"Delmas","year":"2005","journal-title":"J. Bone Miner. Res."},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0190","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1002\/jbmr.3669","article-title":"The radiology of osteoporotic vertebral fractures revisited","volume":"34","author":"Lentle","year":"2019","journal-title":"J. Bone Miner. Res."},{"issue":"3","key":"10.1016\/j.bone.2025.117735_bb0195","doi-asserted-by":"crossref","first-page":"171","DOI":"10.5312\/wjo.v7.i3.171","article-title":"Major osteoporotic fragility fractures: risk factor updates and societal impact","volume":"7","author":"Pisani","year":"2016","journal-title":"World J. Orthop."},{"issue":"7","key":"10.1016\/j.bone.2025.117735_bb0200","doi-asserted-by":"crossref","DOI":"10.1093\/jbmrpl\/ziaf077","article-title":"Longitudinal patient outcomes over 18 months following a hip, clinical vertebral, distal forearm, or proximal humerus fracture in the United States: results from the ICUROS US study","volume":"9","author":"Silverman","year":"2025","journal-title":"JBMR Plus"},{"issue":"10","key":"10.1016\/j.bone.2025.117735_bb0205","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1093\/gerona\/glt092","article-title":"Epidemiology of fracture risk with advancing age","volume":"68","author":"Ensrud","year":"2013","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0210","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1186\/s12891-025-08928-x","article-title":"Osteoporotic fractures in adults under 65 without prior indications for BMD testing: a call to reevaluate screening guidelines","volume":"26","author":"Mirzaei","year":"2025","journal-title":"BMC Musculoskelet. Disord."},{"key":"10.1016\/j.bone.2025.117735_bb0215","series-title":"Journal of Physics: Conference Series","article-title":"A comparison of traditional machine learning and deep learning in image recognition","author":"Lai","year":"2019"},{"issue":"1","key":"10.1016\/j.bone.2025.117735_bb0220","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-024-75628-2","article-title":"Artificial intelligence in risk prediction and diagnosis of vertebral fractures","volume":"14","author":"Namireddy","year":"2024","journal-title":"Sci. Rep."},{"issue":"9","key":"10.1016\/j.bone.2025.117735_bb0225","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1002\/jbmr.5650080915","article-title":"Vertebral fracture assessment using a semiquantitative technique","volume":"8","author":"Genant","year":"1993","journal-title":"J. Bone Miner. Res."},{"issue":"6","key":"10.1016\/j.bone.2025.117735_bb0230","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1007\/s00198-021-06287-6","article-title":"Osteoporotic vertebral fracture (OVF): diagnosis requires an informed observer","volume":"33","author":"Lentle","year":"2022","journal-title":"Osteoporos. Int."},{"issue":"Suppl. 16","key":"10.1016\/j.bone.2025.117735_bb0235","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1007\/s00508-024-02441-2","article-title":"Osteoporosis-Definition, risk assessment, diagnosis, prevention and treatment (update 2024): Guidelines of the Austrian Society for Bone and Mineral Research","volume":"136","author":"Dimai","year":"2024","journal-title":"Wien. Klin. Wochenschr."},{"issue":"11","key":"10.1016\/j.bone.2025.117735_bb0240","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s00198-004-1626-1","article-title":"Comparison of methods for the visual identification of prevalent vertebral fracture in osteoporosis","volume":"15","author":"Jiang","year":"2004","journal-title":"Osteoporos. Int."},{"issue":"10","key":"10.1016\/j.bone.2025.117735_bb0245","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1002\/jbmr.4108","article-title":"Grade 1 vertebral fractures identified by densitometric lateral spine imaging predict incident major osteoporotic fracture independently of clinical risk factors and bone mineral density in older women","volume":"35","author":"Johansson","year":"2020","journal-title":"J. Bone Miner. Res."},{"issue":"6","key":"10.1016\/j.bone.2025.117735_bb0250","doi-asserted-by":"crossref","first-page":"3786","DOI":"10.1007\/s00330-020-07684-x","article-title":"To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines)","volume":"31","author":"Omoumi","year":"2021","journal-title":"Eur. Radiol."}],"container-title":["Bone"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S8756328225003473?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S8756328225003473?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T07:44:36Z","timestamp":1781077476000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S8756328225003473"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":50,"alternative-id":["S8756328225003473"],"URL":"https:\/\/doi.org\/10.1016\/j.bone.2025.117735","relation":{},"ISSN":["8756-3282"],"issn-type":[{"value":"8756-3282","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"AI-supported opportunistic detection of vertebral fractures on routine CT scans: Diagnostic performance and clinical relevance","name":"articletitle","label":"Article Title"},{"value":"Bone","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bone.2025.117735","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"117735"}}