Show simple item record

dc.contributor.author
Christen, Patrik
dc.contributor.author
Schulte, Friederike A.
dc.contributor.author
Zwahlen, Alexander
dc.contributor.author
van Rietbergen, Bert
dc.contributor.author
Boutroy, Stephanie
dc.contributor.author
Melton, L. Joseph
dc.contributor.author
Amin, Shreyasee
dc.contributor.author
Khosla, Sundeep
dc.contributor.author
Goldhahn, Jörg
dc.contributor.author
Müller, Ralph
dc.date.accessioned
2021-04-20T07:49:48Z
dc.date.available
2017-06-12T01:59:42Z
dc.date.available
2021-04-20T07:49:48Z
dc.date.issued
2016-01
dc.identifier.issn
1742-5689
dc.identifier.issn
1742-5662
dc.identifier.other
10.1098/rsif.2015.0991
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/113727
dc.description.abstract
A bone loading estimation algorithm was previously developed that provides in vivo loading conditions required for in vivo bone remodelling simulations. The algorithm derives a bone's loading history from its microstructure as assessed by high-resolution (HR) computed tomography (CT). This reverse engineering approach showed accurate and realistic results based on micro-CT and HR-peripheral quantitative CT images. However, its voxel size dependency, reproducibility and sensitivity still need to be investigated, which is the purpose of this study. Voxel size dependency was tested on cadaveric distal radii with micro-CT images scanned at 25 µm and downscaled to 50, 61, 75, 82, 100, 125 and 150 µm. Reproducibility was calculated with repeated in vitro as well as in vivo HR-pQCT measurements at 82 µm. Sensitivity was defined using HR-pQCT images from women with fracture versus non-fracture, and low versus high bone volume fraction, expecting similar and different loading histories, respectively. Our results indicate that the algorithm is voxel size independent within an average (maximum) error of 8.2% (32.9%) at 61 µm, but that the dependency increases considerably at voxel sizes bigger than 82 µm. In vitro and in vivo reproducibility are up to 4.5% and 10.2%, respectively, which is comparable to other in vitro studies and slightly higher than in other in vivo studies. Subjects with different bone volume fraction were clearly distinguished but not subjects with and without fracture. This is in agreement with bone adapting to customary loading but not to fall loads. We conclude that the in vivo bone loading estimation algorithm provides reproducible, sensitive and fairly voxel size independent results at up to 82 µm, but that smaller voxel sizes would be advantageous.
en_US
dc.language.iso
en
en_US
dc.publisher
Royal Society of London
en_US
dc.subject
Bone loading estimation
en_US
dc.subject
Voxel size dependency
en_US
dc.subject
Reproducibility
en_US
dc.subject
Sensitivity
en_US
dc.subject
Human distal radius
en_US
dc.subject
HR-pQCT
en_US
dc.title
Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm
en_US
dc.type
Journal Article
ethz.journal.title
Journal of the Royal Society. Interface
ethz.journal.volume
13
en_US
ethz.journal.issue
114
en_US
ethz.journal.abbreviated
J. R. Soc. Interface
ethz.pages.start
20150991
en_US
ethz.size
8 p.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.pubmed
26790999
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02540 - Institut für Translationale Medizin / Institute of Translational Medicine::08827 - Goldhahn, Jörg (Tit.-Prof.)
ethz.date.deposited
2017-06-12T02:00:31Z
ethz.source
ECIT
ethz.identifier.importid
imp5936542dda17e51934
ethz.ecitpid
pub:175456
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T23:14:13Z
ethz.rosetta.lastUpdated
2022-03-29T06:39:53Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Voxel%20size%20dependency,%20reproducibility%20and%20sensitivity%20of%20an%20in%20vivo%20bone%20loading%20estimation%20algorithm&rft.jtitle=Journal%20of%20the%20Royal%20Society.%20Interface&rft.date=2016-01&rft.volume=13&rft.issue=114&rft.spage=20150991&rft.issn=1742-5689&1742-5662&rft.au=Christen,%20Patrik&Schulte,%20Friederike%20A.&Zwahlen,%20Alexander&van%20Rietbergen,%20Bert&Boutroy,%20Stephanie&rft.genre=article&rft_id=info:doi/10.1098/rsif.2015.0991&
 Search print copy at ETH Library

Files in this item

FilesSizeFormatOpen in viewer

There are no files associated with this item.

Publication type

Show simple item record