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Title: Non-invasive bone monitoring by high-resolution pQCT: A reproducibility study on structural and mechanical properties at the human radius
Authors: Mueller, Thomas ×
Stauber, Martin
Kohler, Thomas
Eckstein, Felix
Müller, Ralph
van Lenthe, Harry #
Issue Date: Feb-2009
Publisher: Pergamon Press
Series Title: Bone vol:44 issue:2 pages:364-371
Abstract: Osteoporosis is defined as a skeletal disorder characterized by compromised bone strength. Bone strength
depends, among others, on bone density, bone geometry and its internal architecture. With the recent
introduction of a new generation high-resolution 3D peripheral quantitative computed tomography (HRpQCT)
system, direct quantification of structural bone parameters has become feasible. Furthermore, it has
recently been demonstrated that bone mechanical competence can be derived from HR-pQCT based microfinite
element modeling (μFE). However, reproducibility data for HR-pQCT-derived mechanical indices is not
well-known. Therefore, the aim of this study was to quantify reproducibility of HR-pQCT-derived indices. We
measured 14 distal formalin-fixed cadaveric forearms three times and analyzed three different regions for
each measurement. For each region cortical and trabecular parameters were determined. Reproducibility was
assessed with respect to precision error (PE) and intraclass correlation coefficient (ICC).
Reproducibility values were found to be best in all three regions for the full bone compartment with an
average PE of 0.79%, followed by the cortical compartment (PE=1.19%) and the trabecular compartment with
an average PE of 2.31%. The mechanical parameters showed similar reproducibility (PE=0.48%–2.93% for
bone strength and stiffness, respectively). ICC showed a very high reproducibility of subject-specific
measurements, ranging from 0.982 to 1.000, allowing secure identification of individual donors ranging from
healthy to severely osteoporotic subjects. From these in vitro results we conclude that HR-pQCT derived
morphometric and mechanical parameters are highly reproducible such that differences in bone structure
and strength can be detected with a reproducibility error smaller than 3%; hence, the technique has a high
potential to become a tool for detecting bone quality and bone competence of individual subjects.
ISSN: 8756-3282
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Biomechanics Section
× corresponding author
# (joint) last author

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