Estimation of articular cartilage properties using multivariate analysis of optical coherence tomography signal.
Abstract: 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. Methods: 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 0.05). Conclusions: 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.
Copyright © 2015 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
Publication Date: 2015-06-06 PubMed ID: 26057849DOI: 10.1016/j.joca.2015.05.034Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research aimed to determine if the use of multivariate analysis of optical coherence tomography (OCT) information could assess the structural integrity, composition, and mechanical properties of articular cartilage. The results suggest that this technique could significantly enhance OCT evaluation of articular cartilage integrity.
Research Methods
- Equine osteochondral samples were used as a study weapon, with a total number of 65 samples.
- The OCT was used to obtain images of the samples, after which the total attenuation and backscattering coefficients were measured.
- Following this, various properties of the samples were identified, such as the Mankin score (measures cartilage damage severity), the optical density, which reveals the fixed charge density, light absorbance in the amide I region, collage orientation, permeability, fibril network modulus, and non-fibrillar matrix modulus.
- A partial least squares regression model was then developed to predict tissue properties from the OCT signals of the samples.
Results
- Significant correlations were observed between the measured and predicted mean collagen orientation, permeability, mean optical density, Mankin scores, non-fibrillar matrix modulus, fibril network modulus, and light absorbance in the amide I region.
- A significant correlation was found between the backscattering coefficient and the fibril network modulus. However, no significant correlation was found between total attenuation and any determined properties of articular cartilage.
Conclusions
- The results of the research suggest that the multivariate analysis of OCT signal provides good estimates for tissue structure, composition and mechanical properties.
- This novel approach can enhance OCT evaluation of articular cartilage integrity and could potentially be applicable in surgical settings, for instance, in outlining degenerated regions around cartilage injuries during arthroscopic repair surgery.
Cite This Article
APA
Puhakka PH, Te Moller NCR, Afara IO, Mäkelä JTA, Tiitu V, Korhonen RK, Brommer H, Virén T, Jurvelin JS, Töyräs J.
(2015).
Estimation of articular cartilage properties using multivariate analysis of optical coherence tomography signal.
Osteoarthritis Cartilage, 23(12), 2206-2213.
https://doi.org/10.1016/j.joca.2015.05.034 Publication
Researcher Affiliations
- 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.
- Department of Equine Sciences, Utrecht University, Utrecht, Netherlands. Electronic address: n.c.r.temoller@uu.nl.
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: isaac.afara@uef.fi.
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: janne.makela@uef.fi.
- School of Medicine, Institute of Biomedicine, Anatomy, University of Eastern Finland, Kuopio, Finland. Electronic address: virpi.tiitu@uef.fi.
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: rami.korhonen@uef.fi.
- Department of Equine Sciences, Utrecht University, Utrecht, Netherlands. Electronic address: h.brommer@uu.nl.
- Cancer Center, Kuopio University Hospital, Kuopio, Finland. Electronic address: tuomas.viren@kuh.fi.
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: jukka.jurvelin@uef.fi.
- 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.
MeSH Terms
- Animals
- Cartilage, Articular / metabolism
- Cartilage, Articular / pathology
- Collagen / metabolism
- Horses
- Least-Squares Analysis
- Multivariate Analysis
- Permeability
- Spectroscopy, Fourier Transform Infrared
- Tomography, Optical Coherence
Citations
This article has been cited 3 times.- Khan B, Kafian-Attari I, Nippolainen E, Shaikh R, Semenov D, Hauta-Kasari M, Töyräs J, Afara IO. Articular cartilage optical properties in the near-infrared (NIR) spectral range vary with depth and tissue integrity.. Biomed Opt Express 2021 Oct 1;12(10):6066-6080.
- Afara IO, Oloyede A. Resolving the Near-Infrared Spectrum of Articular Cartilage.. Cartilage 2021 Dec;13(1_suppl):729S-737S.
- Afara IO, Singh S, Moody H, Zhang L, Oloyede A. Characterization of Articular Cartilage Recovery and Its Correlation with Optical Response in the Near-Infrared Spectral Range.. Cartilage 2017 Jul;8(3):307-316.
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