Near Infrared Spectroscopy for Rapid Determination of Mankin Score Components: A Potential Tool for Quantitative Characterization of Articular Cartilage at Surgery

Afara, Isaac O.; Prasadam, Indira; Moody, Hayley; Crawford, Ross; Xiao, Yin; Oloyede, Adekunle

doi:10.1016/j.arthro.2014.04.097

Cited by 27 publications

(26 citation statements)

References 19 publications

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“…The findings in this study are supported by results from earlier studies on articular cartilage, which consists of similar matrix components as meniscus, although the collagen types differ. The NIR region where correlation was optimized is also consistent with earlier studies on cartilage . It is worth noting at this stage that the present optical method is not proposed as a replacement for the reference techniques, but merely as a means of estimating the composition of meniscus during arthroscopy.…”

Section: Discussionsupporting

confidence: 90%

“…The proposed optical technique takes advantage of light interaction with meniscus matrix on a molecular level, and is sensitive to micro‐ and macroscopic changes in the tissue structure and composition . Thus, it could be useful for rapid tracking of changes in meniscus composition, resulting from either matrix degeneration or tissue recovery/regeneration in follow up procedures after repair surgeries.…”

Section: Discussionmentioning

confidence: 99%

“…In earlier studies, the capacity of spectroscopy‐based method to characterize the integrity and health of articular cartilage has been demonstrated . Adult human knee menisci possess proteoglycan macromolecules of similar size and glycosaminoglycan (GAG) content to those present in articular cartilage, although at lower tissue concentrations .…”

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confidence: 99%

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Optical spectroscopic determination of human meniscus composition

Ala-Myllymäki

Honkanen

Töyräs

et al. 2015

Journal Orthopaedic Research

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This study investigates the correlation between the composition of human meniscus and its absorption spectrum in the visible (VIS) and near infrared (NIR) spectral range. Meniscus samples (n ¼ 24) were obtained from nonarthritic knees of human cadavers with no history of joint diseases. Specimens (n ¼ 72) were obtained from three distinct sections of the meniscus, namely; anterior, center, posterior. Absorption spectra were acquired from each specimen in the VIS and NIR spectral range (400-1,100 nm). Following spectroscopic probing, the specimens were subjected to biochemical analyses to determine the matrix composition, that is water, hydroxyproline, and uronic acid contents. Multivariate analytical techniques, including principal component analysis (PCA) and partial least squares (PLS) regression, were then used to investigate the correlation between the matrix composition and it spectral response. Our results indicate that the optical absorption of meniscus matrix is related to its composition, and this relationship is optimal in the NIR spectral range (750-1,100 nm). High correlations (R 2 uronic ¼ 86.9%, R 2 water ¼ 83.8%, R 2 hydroxyproline ¼ 81.7%, p < 0.0001) were obtained between the spectral predicted and measured meniscus composition, thus suggesting that spectral data in the NIR range can be utilized for estimating the matrix composition of human meniscus. In conclusion, optical spectroscopy, particularly in the NIR spectral range, is a potential method for evaluating the composition of human meniscus. This presents a promising technique for rapid and nondestructive evaluation of meniscus integrity in real-time during arthroscopic surgery. ß

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

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Optical spectroscopic determination of human meniscus composition

Ala-Myllymäki

Honkanen

Töyräs

et al. 2015

Journal Orthopaedic Research

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“…An excellent correlation between NIR spectra and Mankin score OA grading was achieved by using PLS regression (83). Further, different components of Mankin score were successfully predicted using separate PLS regression models (89).…”

Section: ¡1mentioning

confidence: 99%

Vibrational spectroscopy of articular cartilage

Rieppo

Töyräs

Saarakkala

2016

Applied Spectroscopy Reviews

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Articular cartilage is a connective tissue that is located at the ends of long bones. Type II collagen, proteoglycans, water, and chondrocytes are the main constituents of articular cartilage. Osteoarthritis, the most common joint disease in the world, causes degenerative changes in articular cartilage tissue. Fourier transform infrared, Raman, and near infrared spectroscopic techniques offer versatile tools to assess biochemical composition and quality of articular cartilage. These vibrational spectroscopic techniques can be used to broaden our understanding about the compositional changes during osteoarthritis, and they also hold promise in disease diagnostics. In this article, the current literature of articular cartilage spectroscopic studies is reviewed.

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“…1, 2, 10, 12–15, 23, 38, 68, 126, 131, 137, 154, 155, 178 The specificity and sensitivity of spectroscopic methods make them a potentially attractive approach for evaluating cartilage development. Using FTIR, for example, images of the distribution of tissue components can be made with a resolution of 6.25 µm.…”

Section: Spectroscopic Methods (Table 10)mentioning

confidence: 99%

Nondestructive Techniques to Evaluate the Characteristics and Development of Engineered Cartilage

2016

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In this review, methods for evaluating the properties of tissue engineered (TE) cartilage are described. Many of these have been developed for evaluating properties of native and osteoarthritic articular cartilage. However, with the increasing interest in engineering cartilage, specialized methods are needed for nondestructive evaluation of tissue while it is developing and after it is implanted. Such methods are needed, in part, due to the large inter- and intra-donor variability in the performance of the cellular component of the tissue, which remains a barrier to delivering reliable TE cartilage for implantation. Using conventional destructive tests, such variability makes it near-impossible to predict the timing and outcome of the tissue engineering process at the level of a specific piece of engineered tissue and also makes it difficult to assess the impact of changing tissue engineering regimens. While it is clear that the true test of engineered cartilage is its performance after it is implanted, correlation of pre and post implantation properties determined non-destructively in vitro and/or in vivo with performance should lead to predictive methods to improve quality-control and to minimize the chances of implanting inferior tissue.

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Near Infrared Spectroscopy for Rapid Determination of Mankin Score Components: A Potential Tool for Quantitative Characterization of Articular Cartilage at Surgery

Cited by 27 publications

References 19 publications

Optical spectroscopic determination of human meniscus composition

Optical spectroscopic determination of human meniscus composition

Vibrational spectroscopy of articular cartilage

Nondestructive Techniques to Evaluate the Characteristics and Development of Engineered Cartilage

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