The DOI matches its Crossref record.
Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT
Open accessAbstract
Quantitative cortical micro-architectural endpoints are important for understanding structure-function relations in the context of fracture risk and therapeutic efficacy. This technique study details new image-processing methods to automatically segment and directly quantify cortical density, geometry, and micro-architecture from HR-pQCT images of the distal radius and tibia. An automated segmentation technique was developed to identify the periosteal and endosteal margins of the distal radius and tibia, and detect intra-cortical pore space morphologically consistent with Haversian canals. The reproducibility of direct quantitative cortical bone indices based on this method was assessed in a pooled dataset of 56 subjects with two repeat acquisitions for each site. The in vivo precision error was characterized using root mean square coefficient of variation (RMSCV%) from which, the least significant change (LSC) was calculated. Bland-Altman plots were used to characterize bias in the precision estimates. The reproducibility of cortical density and cross-sectional area measures was high (RMSCV <1% and <1.5%, respectively) with good agreement between young and elder medians. The LSC for cortical porosity (Ct.Po) was somewhat smaller in the radius (0.58%) compared with the distal tibia (0.84%) and significantly different between young and elder medians in the distal tibia (LSC: 0.75% vs. 0.92%; p<0.001). The LSC for pore diameter and distribution (Po.Dm and Po.Dm.SD) ranged between 15 and 23μm. Bland-Altman analysis revealed moderate bias for integral measures of area and volume, but not density nor microarchitecture. This study indicates HR-pQCT measures of cortical bone density and architecture can be measured in vivo with high reproducibility and limited bias across a biologically relevant range of values. The results of this study provide informative data for the design of future clinical studies of bone quality.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nilsson, A. G., Sundh, D., Johansson, L., Nilsson, M., Mellström, D., Rudäng, R., Zoulakis, M., Wallander, M., Darelid, A., & Lorentzon, M. (2017) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3057 · Cited by 217
Gonadal steroid–dependent effects on bone turnover and bone mineral density in men
Finkelstein, J. S., Lee, H., Leder, B. Z., Burnett-Bowie, S.-A. M., Goldstein, D. W., Hahn, C. W., Hirsch, S. C., Linker, A., Perros, N., Servais, A. B., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci84137 · Cited by 198
Sornay-Rendu, E., Boutroy, S., Vilayphiou, N., Claustrat, B., & Chapurlat, R. D. (2013) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.1880 · 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
Sundh, D., Rudäng, R., Zoulakis, M., Nilsson, A. G., Darelid, A., & Lorentzon, M. (2016) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2747 · Cited by 76
Heilmeier, U., Cheng, K., Pasco, C., Parrish, R., Nirody, J., Patsch, J. M., Zhang, C. A., Joseph, G. B., Burghardt, A. J., Schwartz, A. V., et al. (2016) · Osteoporosis International · doi:10.1007/s00198-016-3614-7 · Cited by 60
Self-citationTurnbull, T. L., Baumann, A. P., & Roeder, R. K. (2014) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2014.06.022 · Cited by 41
Metadata
- Authors
- Burghardt, A. J., Buie, H. R., Laib, A., Majumdar, S., & Boyd, S. K.
- Venue
- Bone
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 47
- Issue
- 3
- Pages
- 519-528
- ISSN
- 1873-2763 (ISSN-L)
- 8756-3282
- OpenAlex
- W2014973716
- Cited by
- 459
- References
- 0
- FWCI
- 21.29
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
