Longitudinal bone microarchitectural changes are best detected using image registration
T D Kemp
1, 2
,
C M J De Bakker
2, 3
,
L Gabel
2, 3
,
D. A. Hanley
2
,
E O Billington
2
,
L A Burt
2, 3
,
Steven A. Boyd
1, 2, 3
Publication type: Journal Article
Publication date: 2020-05-19
scimago Q1
wos Q1
SJR: 1.466
CiteScore: 8.6
Impact factor: 5.4
ISSN: 0937941X, 14332965
PubMed ID:
32430614
Endocrinology, Diabetes and Metabolism
Abstract
Longitudinal studies of bone using high-resolution medical imaging may result in non-physiological measurements of longitudinal changes. In this study, we determined that three-dimensional image processing techniques best capture realistic longitudinal changes in bone density and should therefore be used with high-resolution imaging when studying bone changes over time. The purpose of this study was to determine which longitudinal analysis technique (no registration (NR), slice-match (SM) registration, or three-dimensional registration (3DR)) produced the most realistic longitudinal changes in a 3-year study of bone density and structure using high-resolution peripheral quantitative computed tomography (HR-pQCT). We assessed HR-pQCT scans of the distal radius and tibia for men and women (N = 40) aged 55–70 years at baseline and 6, 12, 24, and 36 months. To evaluate which longitudinal analysis technique (NR, SM, or 3DR) best captured physiologically reasonable 3-year changes, we calculated the standard deviation of the absolute rate of change in each bone parameter. The data were compared between longitudinal analysis techniques using repeated measures ANOVA and post hoc analysis. As expected, both SM and 3DR better captured physiological longitudinal changes than NR. At the tibia, there were no differences between SM and 3DR; however, at the radius where precision was lower, 3DR produced better results for total bone mineral density. At least SM or 3DR should be implemented in longitudinal studies using HR-pQCT. 3DR is preferable, particularly at the radius, to ensure that physiological changes in bone density are observed.
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Metrics
31
Total citations:
31
Citations from 2024:
13
(41.94%)
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MLA
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GOST
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Kemp T. D. et al. Longitudinal bone microarchitectural changes are best detected using image registration // Osteoporosis International. 2020. Vol. 31. No. 10. pp. 1995-2005.
GOST all authors (up to 50)
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Kemp T. D., De Bakker C. M. J., Gabel L., Hanley D. A., Billington E. O., Burt L. A., Boyd S. A. Longitudinal bone microarchitectural changes are best detected using image registration // Osteoporosis International. 2020. Vol. 31. No. 10. pp. 1995-2005.
Cite this
RIS
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TY - JOUR
DO - 10.1007/s00198-020-05449-2
UR - https://doi.org/10.1007/s00198-020-05449-2
TI - Longitudinal bone microarchitectural changes are best detected using image registration
T2 - Osteoporosis International
AU - Kemp, T D
AU - De Bakker, C M J
AU - Gabel, L
AU - Hanley, D. A.
AU - Billington, E O
AU - Burt, L A
AU - Boyd, Steven A.
PY - 2020
DA - 2020/05/19
PB - Springer Nature
SP - 1995-2005
IS - 10
VL - 31
PMID - 32430614
SN - 0937-941X
SN - 1433-2965
ER -
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BibTex (up to 50 authors)
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@article{2020_Kemp,
author = {T D Kemp and C M J De Bakker and L Gabel and D. A. Hanley and E O Billington and L A Burt and Steven A. Boyd},
title = {Longitudinal bone microarchitectural changes are best detected using image registration},
journal = {Osteoporosis International},
year = {2020},
volume = {31},
publisher = {Springer Nature},
month = {may},
url = {https://doi.org/10.1007/s00198-020-05449-2},
number = {10},
pages = {1995--2005},
doi = {10.1007/s00198-020-05449-2}
}
Cite this
MLA
Copy
Kemp, T. D., et al. “Longitudinal bone microarchitectural changes are best detected using image registration.” Osteoporosis International, vol. 31, no. 10, May. 2020, pp. 1995-2005. https://doi.org/10.1007/s00198-020-05449-2.