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Osteoarthritis Cartilage. 2015 Dec;23(12):2206-2213. doi: 10.1016/j.joca.2015.05.034. Epub 2015 Jun 6.

Estimation of articular cartilage properties using multivariate analysis of optical coherence tomography signal.

Author information

1
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland. Electronic address: pia.puhakka@uef.fi.
2
Department of Equine Sciences, Utrecht University, Utrecht, Netherlands. Electronic address: n.c.r.temoller@uu.nl.
3
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: isaac.afara@uef.fi.
4
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: janne.makela@uef.fi.
5
School of Medicine, Institute of Biomedicine, Anatomy, University of Eastern Finland, Kuopio, Finland. Electronic address: virpi.tiitu@uef.fi.
6
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: rami.korhonen@uef.fi.
7
Department of Equine Sciences, Utrecht University, Utrecht, Netherlands. Electronic address: h.brommer@uu.nl.
8
Cancer Center, Kuopio University Hospital, Kuopio, Finland. Electronic address: tuomas.viren@kuh.fi.
9
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: jukka.jurvelin@uef.fi.
10
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland. Electronic address: juha.toyras@uef.fi.

Abstract

OBJECTIVE:

The aim was to investigate the applicability of multivariate analysis of optical coherence tomography (OCT) information for determining structural integrity, composition and mechanical properties of articular cartilage.

DESIGN:

Equine osteochondral samples (N = 65) were imaged with OCT, and their total attenuation and backscattering coefficients (μt and μb) were measured. Subsequently, the Mankin score, optical density (OD) describing the fixed charge density, light absorbance in amide I region (Aamide), collagen orientation, permeability, fibril network modulus (Ef) and non-fibrillar matrix modulus (Em) of the samples were determined. Partial least squares (PLS) regression model was calculated to predict tissue properties from the OCT signals of the samples.

RESULTS:

Significant correlations between the measured and predicted mean collagen orientation (R(2) = 0.75, P < 0.0001), permeability (R(2) = 0.74, P < 0.0001), mean OD (R(2) = 0.73, P < 0.0001), Mankin scores (R(2) = 0.70, P < 0.0001), Em (R(2) = 0.50, P < 0.0001), Ef (R(2) = 0.42, P < 0.0001), and Aamide (R(2) = 0.43, P < 0.0001) were obtained. Significant correlation was also found between μb and Ef (ρ = 0.280, P = 0.03), but not between μt and any of the determined properties of articular cartilage (P > 0.05).

CONCLUSION:

Multivariate analysis of OCT signal provided good estimates for tissue structure, composition and mechanical properties. This technique may significantly enhance OCT evaluation of articular cartilage integrity, and could be applied, for example, in delineation of degenerated areas around cartilage injuries during arthroscopic repair surgery.

KEYWORDS:

Articular cartilage; Degeneration; Optical coherence tomography; Partial least squares regression

PMID:
26057849
DOI:
10.1016/j.joca.2015.05.034
[Indexed for MEDLINE]
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