How do visual, spectroscopic and biomechanical changes of cartilage correlate in osteoarthritic knee joints?

Marticke, Julia; Hösselbarth, Anja; Hoffmeier, Konrad; Marintschev, Ivan; Otto, Steffi; Lange, Matthias; Plettenberg, Holger; Spahn, Günter; Hofmann, Gunther O.

doi:10.1016/j.clinbiomech.2009.12.008

Cited by 43 publications

(55 citation statements)

References 21 publications

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“…5 There can be a high interobserver variability in arthroscopic grading of cartilage, and the final grade can be highly subjective, and dependent on the level of clinical experience of the surgeon. 37 It is possible that tissue regions that appear visually normal may indeed have begun to degenerate, and thus should be removed. Attempts to identify such regions, although not possible visually, may be possible using either indentation or spectroscopic methods, or a combination of these two.…”

Section: Discussionmentioning

confidence: 99%

Infrared Fiber Optic Probe Evaluation of Degenerative Cartilage Correlates to Histological Grading

Hanifi

Yang

et al. 2012

Am J Sports Med

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Background Osteoarthritis (OA), a degenerative cartilage disease, results in alterations of the chemical and structural properties of the tissue. Arthroscopic evaluation of full-depth tissue composition is limited and would require tissue harvesting, which is inappropriate in daily routine. Fourier transform infrared (FT-IR) spectroscopy is a modality based on molecular vibrations of matrix components that can be used in conjunction with a fiber optic to acquire quantitative compositional data from the cartilage matrix. Purpose To develop a model based on infrared spectra of articular cartilage to predict the histological Mankin score as an indicator of tissue quality. Study Design Descriptive laboratory study Methods Infrared fiber optic probe (IFOP) spectra were collected from nearly normal and more degraded regions of tibial plateau articular cartilage harvested during knee arthroplasty (N = 61). Each region was graded using a modified Mankin score (MMS). A multivariate partial least squares (PLS) algorithm using second derivative spectra was developed to predict histological MMS. Results The PLS model derived from IFOP spectra predicted the MMS with a prediction error of ~1.4, which resulted in ~72% of the Mankin scored tissues being predicted correctly, and 96% being predicted within one grade of their true modified Mankin score. Conclusion These data demonstrate that IFOP spectral parameters correlate with histological tissue grade, and can be used to provide information on tissue composition. Clinical Relevance IFOP studies have significant potential for evaluation of cartilage tissue quality without the need for tissue harvest. Combined with arthroscopy, IFOP analysis could facilitate definition of tissue margins in debridement procedures.

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Section: Discussionmentioning

confidence: 99%

Infrared Fiber Optic Probe Evaluation of Degenerative Cartilage Correlates to Histological Grading

Hanifi

Yang

et al. 2012

Am J Sports Med

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“…The water peak ratio also correlated with Knee Injury and Osteoarthritis Outcome Score (KOOS) sub-parameters in a clinical knee pain study, but the correlations were only weak (r 0.3) (94). Linear combination of the water peaks was shown to correlate negatively with the degree of degeneration, and positively with Young's modulus in human AC (95). A commercial NIR spectroscopic arthroscopic probe has been introduced based on the aforementioned studies.…”

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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“…The second study showed that NIR spectral data obtained frorm human cartilage had better intraobserver agreement for prediction of early cartilage disease than MRI or arthroscopy 27 . Finally, Marticke et al correlated NIR data with cartilage mechanical properties, showing a positive correlation between NIR spectra and Young’s modulus for osteoarthritic cartilage 43 . Together, these studies demonstrate the potential for NIR spectroscopy to aid in evaluation of cartilage matrix changes in a clinical environment.…”

Section: Introductionmentioning

confidence: 99%

Near Infrared Spectroscopic Evaluation of Water in Hyaline Cartilage

2013

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In diseased conditions of cartilage such as osteoarthritis, there is typically an increase in water content from the average normal of 60–85% to greater than 90%. As cartilage has very little capability for self-repair, methods of early detection of degeneration are required, and assessment of water could prove to be a useful diagnostic method. Current assessment methods are either destructive, time consuming or have limited sensitivity. Here, we investigated the hypotheses that non-destructive near infrared spectroscopy (NIRS) of articular cartilage can be used to differentiate between free and bound water, and to quantitatively assess water content. The absorbances centered at 5200 cm−1 and 6890 cm−1 were attributed to a combination of free and bound water, and to free water only, respectively. The integrated areas of both absorbance bands were found to correlate linearly with the absolute water content (R=0.87 and R= 0.86) and with percent water content (R=0.97 and R=0.96) of the tissue. Partial least square models were also successfully developed and were used to predict water content, and percent free water. These data demonstrate that NIRS can be utilized to quantitatively determine water content in articular cartilage, and may aid in early detection of degenerative tissue changes in a laboratory setting, and with additional validations, possibly in a clinical setting.

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How do visual, spectroscopic and biomechanical changes of cartilage correlate in osteoarthritic knee joints?

Cited by 43 publications

References 21 publications

Infrared Fiber Optic Probe Evaluation of Degenerative Cartilage Correlates to Histological Grading

Infrared Fiber Optic Probe Evaluation of Degenerative Cartilage Correlates to Histological Grading

Vibrational spectroscopy of articular cartilage

Near Infrared Spectroscopic Evaluation of Water in Hyaline Cartilage

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