Literature DB >> 26245143

Optical absorption spectra of human articular cartilage correlate with biomechanical properties, histological score and biochemical composition.

Isaac O Afara1, Markku Hauta-Kasari, Jukka S Jurvelin, Adekunle Oloyede, Juha Töyräs.   

Abstract

This study investigates the relationship between the optical response of human articular cartilage in the visible (VIS) and near infrared (NIR) spectral range and its matrix properties.Full-thickness osteochondral cores (dia. = 16 mm, n = 50) were extracted from human cadaver knees (N = 13) at four anatomical locations and divided into quadrants. Absorption spectra were acquired in the spectral range 400-1100 nm from one quadrant. Reference biomechanical, biochemical composition, histological, and cartilage thickness measurements were obtained from two other quadrants. A multivariate statistical technique based on partial least squares (PLS) regression was then employed to investigate the correlation between the absorption spectra and tissue properties.Our results demonstrate that cartilage optical response correlates with its function, composition and morphology, as indicated by the significant relationship between spectral predicted and measured biomechanical (79.0%  ⩽  R(2)  ⩽  80.3%, p  <  0.0001), biochemical (65.1%  ⩽  R(2)  ⩽  81.0%, p  < 0.0001), and histological scores ([Formula: see text] = 83.3%, p  < 0.0001) properties. Significant correlation was also obtained with the non-calcified cartilage thickness ([Formula: see text] = 83.2%, p  <  0.0001).We conclude that optical absorption of human cartilage in the VIS and NIR spectral range correlates with the overall tissue properties, thus providing knowledge that could facilitate development of systems for rapid assessment of tissue integrity.

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Year:  2015        PMID: 26245143     DOI: 10.1088/0967-3334/36/9/1913

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  11 in total

1.  Characterization of connective tissues using near-infrared spectroscopy and imaging.

Authors:  Isaac O Afara; Rubina Shaikh; Ervin Nippolainen; William Querido; Jari Torniainen; Jaakko K Sarin; Shital Kandel; Nancy Pleshko; Juha Töyräs
Journal:  Nat Protoc       Date:  2021-01-18       Impact factor: 13.491

2.  Resolving the Near-Infrared Spectrum of Articular Cartilage.

Authors:  Isaac O Afara; Adekunle Oloyede
Journal:  Cartilage       Date:  2021-10-13       Impact factor: 3.117

3.  Non-Destructive Spectroscopic Assessment of High and Low Weight Bearing Articular Cartilage Correlates with Mechanical Properties.

Authors:  James P Karchner; Farzad Yousefi; Stephanie R Bitman; Kurosh Darvish; Nancy Pleshko
Journal:  Cartilage       Date:  2018-04-24       Impact factor: 4.634

4.  Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure.

Authors:  Jaakko K Sarin; Lassi Rieppo; Harold Brommer; Isaac O Afara; Simo Saarakkala; Juha Töyräs
Journal:  Sci Rep       Date:  2017-09-06       Impact factor: 4.379

5.  Characterizing human subchondral bone properties using near-infrared (NIR) spectroscopy.

Authors:  Isaac O Afara; Cristina Florea; Ismail A Olumegbon; Chibuzor T Eneh; Markus K H Malo; Rami K Korhonen; Juha Töyräs
Journal:  Sci Rep       Date:  2018-06-27       Impact factor: 4.379

6.  Near Infrared Spectroscopy Enables Differentiation of Mechanically and Enzymatically Induced Cartilage Injuries.

Authors:  Ervin Nippolainen; Rubina Shaikh; Vesa Virtanen; Lassi Rieppo; Simo Saarakkala; Juha Töyräs; Isaac O Afara
Journal:  Ann Biomed Eng       Date:  2020-04-16       Impact factor: 3.934

7.  Arthroscopic near infrared spectroscopy enables simultaneous quantitative evaluation of articular cartilage and subchondral bone in vivo.

Authors:  Jaakko K Sarin; Nikae C R Te Moller; Irina A D Mancini; Harold Brommer; Jetze Visser; Jos Malda; P René van Weeren; Isaac O Afara; Juha Töyräs
Journal:  Sci Rep       Date:  2018-09-07       Impact factor: 4.379

8.  Arthroscopic Determination of Cartilage Proteoglycan Content and Collagen Network Structure with Near-Infrared Spectroscopy.

Authors:  Jaakko K Sarin; Olli Nykänen; Virpi Tiitu; Irina A D Mancini; Harold Brommer; Jetze Visser; Jos Malda; P René van Weeren; Isaac O Afara; Juha Töyräs
Journal:  Ann Biomed Eng       Date:  2019-05-06       Impact factor: 3.934

9.  Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy.

Authors:  Isaac O Afara; Jaakko K Sarin; Simo Ojanen; Mikko A J Finnilä; Walter Herzog; Simo Saarakkala; Rami K Korhonen; Juha Töyräs
Journal:  Cell Mol Bioeng       Date:  2020-03-09       Impact factor: 2.321

10.  Monitoring osteoarthritis progression using near infrared (NIR) spectroscopy.

Authors:  Isaac O Afara; Indira Prasadam; Zohreh Arabshahi; Yin Xiao; Adekunle Oloyede
Journal:  Sci Rep       Date:  2017-09-13       Impact factor: 4.379

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