Artificial intelligence-based radiomics on computed tomography of lumbar spine in subjects with fragility vertebral fractures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Link
https://link.springer.com/content/pdf/10.1007/s40618-022-01837-z.pdf
Reference38 articles.
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3. Adachi JD, Adami S, Gehlbach S, Anderson FA Jr, Boonen S, Chapurlat RD, Compston JE, Cooper C, Delmas P, Díez-Pérez A, Greenspan SL, Hooven FH, LaCroix AZ, Lindsay R, Netelenbos JC, Wu O, Pfeilschifter J, Roux C, Saag KG, Sambrook PN, Silverman S, Siris ES, Nika G, Watts NB (2010) Impact of prevalent fractures on quality of life: baseline results from the global longitudinal study of osteoporosis in women. Mayo Clin Proc 85(9):806–813. https://doi.org/10.4065/mcp.2010.0082
4. Lems WF, Paccou J, Zhang J, Fuggle NR, Chandran M, Harvey NC, Cooper C, Javaid K, Ferrari S, Akesson KE (2021) Vertebral fracture: epidemiology, impact and use of DXA vertebral fracture assessment in fracture liaison services. Osteoporosis Int 32(3):399–411. https://doi.org/10.1007/s00198-020-05804-3
5. Prince RL, Lewis JR, Lim WH, Wong G, Wilson KE, Khoo BC, Zhu K, Kiel DP, Schousboe JT (2019) Adding lateral spine imaging for vertebral fractures to densitometric screening: improving ascertainment of patients at high risk of incident osteoporotic fractures. J Bone Mineral Res 34(2):282–289. https://doi.org/10.1002/jbmr.3595
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