Open AccessSpatial mapping of proteoglycan content in articular cartilage using near-infrared (NIR) spectroscopy
Author(s) -
Isaac O. Afara,
Hayley Moody,
Samarendra P. Singh,
Indira Prasadam,
Adekunle Oloyede
Publication year - 2014
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.6.000144
Subject(s) - cartilage , principal component analysis , articular cartilage , osteoarthritis , near infrared spectroscopy , spectroscopy , biomedical engineering , partial least squares regression , materials science , pathology , chemistry , anatomy , medicine , optics , mathematics , computer science , artificial intelligence , physics , alternative medicine , quantum mechanics , statistics
Diagnosis of articular cartilage pathology in the early disease stages using current clinical diagnostic imaging modalities is challenging, particularly because there is often no visible change in the tissue surface and matrix content, such as proteoglycans (PG). In this study, we propose the use of near infrared (NIR) spectroscopy to spatially map PG content in articular cartilage. The relationship between NIR spectra and reference data (PG content) obtained from histology of normal and artificially induced PG-depleted cartilage samples was investigated using principal component (PC) and partial least squares (PLS) regression analyses. Significant correlation was obtained between both data (R(2) = 91.40%, p<0.0001). The resulting correlation was used to predict PG content from spectra acquired from whole joint sample, this was then employed to spatially map this component of cartilage across the intact sample. We conclude that NIR spectroscopy is a feasible tool for evaluating cartilage contents and mapping their distribution across mammalian joint.