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Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: The manitoba study
Open accessAbstract
The measurement of BMD by dual-energy X-ray absorptiometry (DXA) is the “gold standard” for diagnosing osteoporosis but does not directly reflect deterioration in bone microarchitecture. The trabecular bone score (TBS), a novel gray-level texture measurement that can be extracted from DXA images, correlates with 3D parameters of bone microarchitecture. Our aim was to evaluate the ability of lumbar spine TBS to predict future clinical osteoporotic fractures. A total of 29,407 women 50 years of age or older at the time of baseline hip and spine DXA were identified from a database containing all clinical results for the Province of Manitoba, Canada. Health service records were assessed for the incidence of nontraumatic osteoporotic fracture codes subsequent to BMD testing (mean follow-up 4.7 years). Lumbar spine TBS was derived for each spine DXA examination blinded to clinical parameters and outcomes. Osteoporotic fractures were identified in 1668 (5.7%) women, including 439 (1.5%) spine and 293 (1.0%) hip fractures. Significantly lower spine TBS and BMD were identified in women with major osteoporotic, spine, and hip fractures (all p < 0.0001). Spine TBS and BMD predicted fractures equally well, and the combination was superior to either measurement alone (p < 0.001). Spine TBS predicts osteoporotic fractures and provides information that is independent of spine and hip BMD. Combining the TBS trabecular texture index with BMD incrementally improves fracture prediction in postmenopausal women. © 2011 American Society for Bone and Mineral Research
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DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Incidence and Economic Burden of Osteoporosis-Related Fractures in the United States, 2005–2025
Burge, R., Dawson-Hughes, B., Solomon, D. H., Wong, J. B., King, A., & Tosteson, A. (2007) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.061113 · Cited by 4,026
Cited by
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Greenblatt, M. B., Tsai, J. N., & Wein, M. N. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2016.259085 · Cited by 376
Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia
Guerri, S., Mercatelli, D., Aparisi Gómez, M. P., Napoli, A., Battista, G., Guglielmi, G., & Bazzocchi, A. (2018) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2018.01.05 · Cited by 169
Utility of the trabecular bone score (TBS) in secondary osteoporosis
Ulivieri, F. M., Silva, B. C., Sardanelli, F., Hans, D., Bilezikian, J. P., & Caudarella, R. (2014) · Endocrine · doi:10.1007/s12020-014-0280-4 · Cited by 161
Self-citationEller-Vainicher, C., Morelli, V., Ulivieri, F. M., Palmieri, S., Zhukouskaya, V. V., Cairoli, E., Pino, R., Naccarato, A., Scillitani, A., Beck-Peccoz, P., et al. (2012) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.1648 · Cited by 143
Burch, J., Rice, S., Yang, H., Neilson, A., Stirk, L., Francis, R., Holloway, P., Selby, P., & Craig, D. (2014) · Health Technology Assessment · doi:10.3310/hta18110 · Cited by 132
Metadata
- Authors
- Hans, D., Goertzen, A. L., Krieg, M.-A., & Leslie, W. D.
- Venue
- Journal of Bone and Mineral Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-01
- Volume
- 26
- Issue
- 11
- Pages
- 2762-2769
- ISSN
- 0884-0431 (ISSN-L)
- 1523-4681
- OpenAlex
- W1983211249
- Cited by
- 643
- References
- 2
- FWCI
- 25.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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