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Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine 5/2022

14.03.2022 | Research Article

Investigating acute changes in osteoarthritic cartilage by integrating biomechanics and statistical shape models of bone: data from the osteoarthritis initiative

verfasst von: Anthony A. Gatti, Peter J. Keir, Michael D. Noseworthy, Monica R. Maly

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 5/2022

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Abstract

Objective

This proof-of-principle study integrates joint reaction forces (JRFs) and bone shape to assess acute cartilage changes from walking and cycling.

Methods

Sixteen women with symptomatic knee osteoarthritis were recruited. Biomechanical assessment estimated JRFs during walking and cycling. Subsamples had magnetic resonance imaging (MRI) performed before and after a 25-min walking (n = 7) and/or cycling (n = 9) activity. MRI scans were obtained to assess cartilage shape and composition (T2 relaxation time). Bone shape was quantified using a statistical shape model built from 13 local participants and 100 MRI scans from the Osteoarthritis Initiative. Statistical parametric mapping quantified cartilage change and correlations between cartilage change with JRFs and statistical shape model features.

Results

Cartilage thickness (interior lateral, Δ − 0.10 mm) and T2 (medial, Δ − 4 ms) decreased on the tibial plateau. On the femur, T2 change depended on the activity. Greater tibiofemoral JRF was associated with more cartilage deformation on the lateral femoral trochlea after walking (r − 0.56). Knees more consistent with osteoarthritis showed smaller decreases in tibial cartilage thickness.

Discussion

Walking and cycling caused distinct patterns of cartilage deformation, which depended on knee JRFs and bone morphology. For the first time, these results show that cartilage deformation is dependent on bone shapes and JRFs in vivo.
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Metadaten
Titel
Investigating acute changes in osteoarthritic cartilage by integrating biomechanics and statistical shape models of bone: data from the osteoarthritis initiative
verfasst von
Anthony A. Gatti
Peter J. Keir
Michael D. Noseworthy
Monica R. Maly
Publikationsdatum
14.03.2022
Verlag
Springer International Publishing
Erschienen in
Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 5/2022
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-022-01004-8

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