The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Postmenopausal women with osteopenia have higher cortical porosity and thinner cortices at the distal radius and tibia than women with normal aBMD: An in vivo HR-pQCT study
Open accessAbstract
Increases in cortical porosity (Ct.Po) and decreases in cortical thickness (Ct.Th) are associated with increased bone fragility. The purpose of this study was to validate an autosegmentation method for high-resolution peripheral quantitative computed tomography (HR-pQCT) scans to measure Ct.Po and Ct.Th and use it to compare Ct.Po and Ct.Th between pre- and postmenopausal women with normal, osteopenic, and osteoporotic areal bone mineral density (aBMD). The Ct.Po and Ct.Th measurements were validated using cadaver forearms (n = 10) and micro-computed tomography (µCT) as the gold standard. The analysis was applied to distal radius and tibia HR-pQCT scans from a subset of participants from the Calgary, Alberta, cohort of the Canadian Multicentre Osteoporosis Study (n = 280, 18 to 90 years). Analysis of covariance compared Ct.Po and Ct.Th outcomes between 63 normal premenopausal (dual-energy X-ray absorptiometry femoral neck T-score > −1), 87 normal postmenopausal, 121 osteopenic postmenopausal, and 9 osteoporotic postmenopausal women. Linear regression analysis and Bland-Altman plots were used to assess the agreement between the HR-pQCT and µCT measurements, resulting in r2 values of 0.80 for Ct.Po and 0.98 for Ct.Th. At both sites, Ct.Po was higher in postmenopausal (all groups) than in premenopausal women (3.2% to 12.9%, p < .001). Ct.Th was not significantly different between normal premenopausal and postmenopausal women at either site; however, both osteopenic and osteoporotic women had thinner (−12.8% to −30.3%, p < .01), more porous (2.1% to 8.1%, p < .001) cortices than normal postmenopausal women. Our method offers promise as a valuable tool to measure Ct.Po and Ct.Th in vivo and investigate associations among cortical bone structure, age, and disease status. © 2010 American Society for Bone and Mineral Research.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Bone Quality — The Material and Structural Basis of Bone Strength and Fragility
Seeman, E., & Delmas, P. D. (2006) · New England Journal of Medicine · doi:10.1056/nejmra053077 · Cited by 2,080
A new method for the model‐independent assessment of thickness in three‐dimensional images
Hildebrand, T., & Rüegsegger, P. (1997) · Journal of Microscopy · doi:10.1046/j.1365-2818.1997.1340694.x · Cited by 1,818
Boutroy, S., Bouxsein, M. L., Munoz, F., & Delmas, P. D. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1258 · Cited by 1,192
Parfitt, A. M. (1994) · Journal of Cellular Biochemistry · doi:10.1002/jcb.240550303 · Cited by 1,001
The effect of porosity and mineral content on the Young's modulus of elasticity of compact bone
Currey, J. D. (1988) · Journal of Biomechanics · doi:10.1016/0021-9290(88)90006-1 · Cited by 799
McCalden, R. W., McGeough, J. A., Barker, M. B., & Court-Brown, C. M. (1993) · The Journal of Bone & Joint Surgery · doi:10.2106/00004623-199308000-00009 · Cited by 709
Stiffness of compact bone: Effects of porosity and density
Schaffler, M. B., & Burr, D. B. (1988) · Journal of Biomechanics · doi:10.1016/0021-9290(88)90186-8 · Cited by 652
Buie, H. R., Campbell, G. M., Klinck, R. J., MacNeil, J. A., & Boyd, S. K. (2007) · Bone · doi:10.1016/j.bone.2007.07.007 · Cited by 601
Self-citationKhosla, S., Riggs, B. L., Atkinson, E. J., Oberg, A. L., McDaniel, L. J., Holets, M., Peterson, J. M., & Melton, L. J. (2006) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.050916 · Cited by 583
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Shanbhogue, V. V., Hansen, S., Frost, M., Jørgensen, N. R., Hermann, A. P., Henriksen, J. E., & Brixen, K. (2015) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2573 · Cited by 183
Nishiyama, K. K., Macdonald, H. M., Moore, S. A., Fung, T., Boyd, S. K., & McKay, H. A. (2012) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.552 · Cited by 122
Self-citationMadeira, M., Neto, L. V., de Paula Paranhos Neto, F., Barbosa Lima, I. C., Carvalho de Mendonça, L. M., Gadelha, M. R., & Fleiuss de Farias, M. L. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4073 · Cited by 114
Farr, J. N., Charkoudian, N., Barnes, J. N., Monroe, D. G., McCready, L. K., Atkinson, E. J., Amin, S., Melton, L. J., Joyner, M. J., & Khosla, S. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2381 · Cited by 79
Brennan, T. A., Egan, K. P., Lindborg, C. M., Chen, Q., Sweetwyne, M. T., Hankenson, K. D., Xie, S. X., Johnson, F. B., & Pignolo, R. J. (2014) · Disease Models & Mechanisms · doi:10.1242/dmm.014928 · Cited by 45
Metadata
- Authors
- Nishiyama, K. K., Macdonald, H. M., Buie, H. R., Hanley, D. A., & Boyd, S. K.
- Venue
- Journal of Bone and Mineral Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-04-01
- Volume
- 25
- Issue
- 4
- Pages
- 882-890
- ISSN
- 0884-0431 (ISSN-L)
- 1523-4681
- OpenAlex
- W2081070012
- Cited by
- 313
- References
- 49
- FWCI
- 16.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Nishiyama, K. K., Macdonald, H. M., Buie, H. R., Hanley, D. A., & Boyd, S. K. (2010). Postmenopausal women with osteopenia have higher cortical porosity and thinner cortices at the distal radius and tibia than women with normal aBMD: An in vivo HR-pQCT study. Journal of Bone and Mineral Research. https://doi.org/10.1359/jbmr.091020
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