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The Added Value of High‐Resolution Peripheral Quantitative Computed Tomography in Fracture Risk Prediction

2023; Oxford University Press; Volume: 38; Issue: 9 Linguagem: Inglês

10.1002/jbmr.4909

1523-4681

Mattias Lorentzon, Andrew J. Burghardt,

Radiomics and Machine Learning in Medical Imaging

Journal of Bone and Mineral ResearchVolume 38, Issue 9 p. 1225-1226 Editorial The Added Value of High-Resolution Peripheral Quantitative Computed Tomography in Fracture Risk Prediction Mattias Lorentzon, Corresponding Author Mattias Lorentzon [email protected] orcid.org/0000-0003-0749-1431 Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden Sahlgrenska Osteoporosis Centre, Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia Address correspondence to: Mattias Lorentzon, MD, Head of Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, Mölndal, 431 80 Mölndal, Sweden. E-mail: [email protected]Search for more papers by this authorAndrew J. Burghardt, Andrew J. Burghardt Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USASearch for more papers by this author Mattias Lorentzon, Corresponding Author Mattias Lorentzon [email protected] orcid.org/0000-0003-0749-1431 Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden Sahlgrenska Osteoporosis Centre, Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia Address correspondence to: Mattias Lorentzon, MD, Head of Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, Mölndal, 431 80 Mölndal, Sweden. E-mail: [email protected]Search for more papers by this authorAndrew J. Burghardt, Andrew J. Burghardt Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USASearch for more papers by this author First published: 13 September 2023 https://doi.org/10.1002/jbmr.4909Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1Camacho PM, Petak SM, Binkley N, et al. American association of clinical endocrinologists/American college of endocrinology clinical practice guidelines for the diagnosis and treatment of postmenopausal osteoporosis-2020 update. Endocr Pract. 2020; 26(Suppl 1): 1–46. 10.4158/GL-2020-0524SUPPL PubMedWeb of Science®Google Scholar 2McCloskey EV, Harvey NC, Johansson H, et al. Fracture risk assessment by the FRAX model. Climacteric Jul. 2021; 28: 1–7. Google Scholar 3Hippisley-Cox J, Coupland C, Robson J, Brindle P. Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database. BMJ. 2010; 341:c6624. 10.1136/bmj.c6624 PubMedWeb of Science®Google Scholar 4Samelson EJ, Broe KE, Xu H, et al. Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study. Lancet Diabetes Endocrinol. 2019; 7(1): 34–43. 10.1016/S2213-8587(18)30308-5 PubMedWeb of Science®Google Scholar 5Whittier DE, Samelson EJ, Hannan MT, et al. A fracture risk assessment tool for high resolution peripheral quantitative computed tomography. J Bone Miner Res. 2023; 38(9): 1234–1244. doi:10.1002/jbmr.4808. 10.1002/jbmr.4808 Google Scholar 6Kanis JA, Oden A, Johansson H, McCloskey E. Pitfalls in the external validation of FRAX. Osteoporos Int. 2012; 23(2): 423–431. 10.1007/s00198-011-1846-0 CASPubMedWeb of Science®Google Scholar 7van den Bergh JP, Szulc P, Cheung AM, Bouxsein M, Engelke K, Chapurlat R. The clinical application of high-resolution peripheral computed tomography (HR-pQCT) in adults: state of the art and future directions. Osteoporos Int. 2021; 32(8): 1465–1485. 10.1007/s00198-021-05999-z PubMedWeb of Science®Google Scholar 8Baffour FI, Glazebrook KN, Ferrero A, et al. Photon-counting detector CT for musculoskeletal imaging: a clinical perspective. AJR Am J Roentgenol. 2023; 220(4): 551–560. 10.2214/AJR.22.28418 PubMedWeb of Science®Google Scholar Volume38, Issue9September 2023Pages 1225-1226 ReferencesRelatedInformation