Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees.

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dc.contributor.author Lynch, Joseph T en
dc.contributor.author Schneider, Marco en
dc.contributor.author Perriman, Diana M en
dc.contributor.author Scarvell, Jennie M en
dc.contributor.author Pickering, Mark R en
dc.contributor.author Asikuzzaman, Md en
dc.contributor.author Galvin, Catherine R en
dc.contributor.author Besier, Thor en
dc.contributor.author Smith, Paul N en
dc.date.accessioned 2019-10-29T02:39:16Z en
dc.date.issued 2019-08 en
dc.identifier.issn 0021-9290 en
dc.identifier.uri http://hdl.handle.net/2292/48736 en
dc.description.abstract Knee osteoarthritis (OA) results in changes such as joint-space narrowing and osteophyte formation. Radiographic classification systems group patients by the presence or absence of these gross anatomical features but are poorly correlated to function. Statistical-shape modelling (SSM) can detect subtle differences in 3D-bone geometry, providing an opportunity for accurate predictive models. The aim of this study was to describe and quantify the main modes of shape variation which distinguish end-stage OA from asymptomatic knees. Seventy-six patients with OA and 77 control participants received a CT of their knee. 3D models of the joint were created by manual segmentation. A template mesh was fitted to all meshes and rigidly aligned resulting in a set of correspondent meshes. Principal Component Analysis (PCA) was performed to create the SSM. Logistic regression was performed on the PCA weights to distinguish morphological features of the two groups. The first 7 modes of the SSM captured >90% shape variation with 6 modes best distinguishing between OA and asymptomatic knees. OA knees displayed sub-chondral bone expansion particularly in the condyles and posterior medial tibial plateau of up to 10 mm. The model classified the two groups with 95% accuracy, 96% sensitivity, 94% specificity, and 97% AUC. There were distinct features which differentiated OA from asymptomatic knees. Further research will elucidate how magnitude and location of shape changes in the knee influence clinical and functional outcomes. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Journal of biomechanics en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject Tibia en
dc.subject Knee Joint en
dc.subject Humans en
dc.subject Osteoarthritis, Knee en
dc.subject Tomography, X-Ray Computed en
dc.subject Models, Statistical en
dc.subject Logistic Models en
dc.subject Principal Component Analysis en
dc.subject Aged en
dc.subject Middle Aged en
dc.subject Female en
dc.subject Male en
dc.title Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees. en
dc.type Journal Article en
dc.identifier.doi 10.1016/j.jbiomech.2019.07.003 en
pubs.begin-page 177 en
pubs.volume 93 en
dc.rights.holder Copyright: The author en
pubs.end-page 184 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Comparative Study en
pubs.subtype Journal Article en
pubs.elements-id 777447 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
dc.identifier.eissn 1873-2380 en
pubs.record-created-at-source-date 2019-07-23 en
pubs.dimensions-id 31327525 en


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