Precision of 3D Registration Analysis for Longitudinal Study of Second-Generation HR-pQCT.
3D matching
3D registration
HR-pQCT
longitudinal analysis
precision
second-generation
Journal
Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
ISSN: 1094-6950
Titre abrégé: J Clin Densitom
Pays: United States
ID NLM: 9808212
Informations de publication
Date de publication:
Historique:
received:
20
05
2020
revised:
03
10
2020
accepted:
06
10
2020
pubmed:
12
11
2020
medline:
29
10
2021
entrez:
11
11
2020
Statut:
ppublish
Résumé
The objective of this research was to develop 3D registration analysis method in longitudinal studies of high-resolution peripheral quantitative computed tomography (HR-pQCT), to analyze ranges of bone microstructure parameters in addition to standard parameters, and to test the precision of these measurements. Scans of HR-pQCT and analysis of bone microstructure were performed at 3 times in 15 subjects. The 3 images were matched 3-dimensionally, and bone microstructures were analyzed in the common region. In addition to standard measurement parameters of geometry, bone mineral density (BMD), trabecular bone, and cortical bone, parameters showing plate to rod-like structure, connectivity, cavity formation of trabecular bone, and bending stability of cortical bone were also measured. Precision was evaluated with the root mean square percent coefficient variance (RMS%CV). RMS%CV was 0.1%-1.3% for geometry, 0.6%-1.9% for BMD, 0.8%-3.3% for trabecular bone, 2.1%-9.8% for additionally measured trabecular bone, 1.0%-3.4% for cortical bone excluding Ct.Po, 6.0%-6.1% for Ct.Po, and 0.8%-1.5% for additionally measured cortical bone. Precision was higher for 3D registration than for 2D registration in geometry, BV/TV, and Ct.Po. 3D registration analysis of a range of bone microstructural parameters in longitudinal analysis of HR-pQCT showed good precision, offering potential for contributing to future research on osteoporosis and bone metabolic diseases.
Identifiants
pubmed: 33172803
pii: S1094-6950(20)30117-7
doi: 10.1016/j.jocd.2020.10.001
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
319-329Informations de copyright
Copyright © 2020 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.