Optical investigation of osteoarthritic human cartilage (ICRS grade) by confocal Raman spectroscopy: a pilot study

Kumar, Rajesh; Grønhaug, Kirsten Marie; Afseth, Nils Kristian; Isaksen, Vidar; Davies, Catharina de Lange; Drogset, Jon Olav; Lilledahl, Magnus B.

doi:10.1007/s00216-015-8979-5

Cited by 40 publications

(50 citation statements)

References 56 publications

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“…The relationships between ICRS grades and cartilage properties obtained in this study are in agreement with previously observed variations 34 , 35 , therefore supporting the reliability of the scoring. The quantification of PG amount varied slightly between the two methods, i.e.…”

Section: Discussionsupporting

confidence: 91%

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

Sarin

Rieppo

Brommer

et al. 2017

Sci Rep

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Conventional arthroscopic evaluation of articular cartilage is subjective and poorly reproducible. Therefore, implementation of quantitative diagnostic techniques, such as near infrared spectroscopy (NIRS) and optical coherence tomography (OCT), is essential. Locations (n = 44) with various cartilage conditions were selected from mature equine fetlock joints (n = 5). These locations and their surroundings were measured with NIRS and OCT (n = 530). As a reference, cartilage proteoglycan (PG) and collagen contents, and collagen network organization were determined using quantitative microscopy. Additionally, lesion severity visualized in OCT images was graded with an automatic algorithm according to International Cartilage Research Society (ICRS) scoring system. Artificial neural network with variable selection was then employed to predict cartilage composition in the superficial and deep zones from NIRS data, and the performance of two models, generalized (including all samples) and condition-specific models (based on ICRS-grades), was compared. Spectral data correlated significantly (p < 0.002) with PG and collagen contents, and collagen orientation in the superficial and deep zones. The combination of NIRS and OCT provided the most reliable outcome, with condition-specific models having lower prediction errors (9.2%) compared to generalized models (10.4%). Therefore, the results highlight the potential of combining both modalities for comprehensive evaluation of cartilage during arthroscopy.

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Section: Discussionsupporting

confidence: 91%

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

Sarin

Rieppo

Brommer

et al. 2017

Sci Rep

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“…Other studies have shown that inflammatory mediators are increased in OA in comparison to healthy subjects, which can be reflected outside the joint tissues in blood plasma and peripheral blood leucocytes . Similar to a number of preceding studies demonstrating increased levels of collagen in OA subjects after analysing cartilage or blood samples, our results also showed a statistically significant increase of the collagen band (1034 cm −1 ) in OA (Fig ) . For instance, the observed increase may be explained by the overexpression of collagen type X, which has been previously found elevated in serum samples of OA patients and has been associated with cartilage degradation and inflammation .…”

Section: Discussionsupporting

confidence: 90%

Attenuated total reflection Fourier‐transform infrared (ATR‐FTIR) spectroscopy to diagnose osteoarthritis in equine serum

Paraskevaidi

Hook

Morais

et al. 2019

Equine Veterinary Journal

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Summary Background Reliable and validated biomarkers for osteoarthritis (OA) are currently lacking. Objectives To develop an accurate and minimally invasive method to assess OA‐affected horses and provide potential spectral markers indicative of disease. Study design Observational, cross‐sectional study. Methods Our cohort consisted of 15 horses with OA and 48 without clinical signs of the disease, which were used as controls. Attenuated total reflection Fourier‐transform infrared (ATR‐FTIR) spectroscopy was used to investigate serum samples (50 μL) collected from these horses. Spectral processing and multivariate analysis revealed differences and similarities, allowing for detection of spectral biomarkers that discriminated between the two cohorts. A supervised classification algorithm, namely principal component analysis coupled with quadratic discriminant analysis (PCA‐QDA), was applied to evaluate the diagnostic accuracy. Results Segregation between the two different cohorts, OA‐affected and controls, was achieved with 100% sensitivity and specificity. The six most discriminatory peaks were attributed to proteins and lipids. Four of the spectral peaks were elevated in OA horses, which could be potentially due to an increase in lipids, protein expression levels and collagen, all of which have been previously reported in OA. Two peaks were found decreased and were tentatively assigned to the reduction of proteoglycan content that is observed during OA. Main limitations The control group had a wide range of ages and breeds. Presymptomatic OA cases were not included. Therefore, it remains unknown whether this test could also be used as an early diagnostic tool. Conclusions This spectrochemical approach could provide an accurate and cost‐effective blood test, facilitating point‐of‐care diagnosis of equine OA.

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“…In our previous study, a comparison among ICRS grades of osteoarthritic cartilage was reported that showed a significant reduction in PG content between grades I and III, and between grades II and III, but not between grades I and II [ 5 ]. This means that the change in Young’s modulus shows the same trend as the change in PG content between the ICRS grades I, II, and III.…”

Section: Discussionmentioning

confidence: 99%

“…Early degenerative changes in articular cartilage associated with OA are most often not visible by standard clinical imaging system (e.g., X-ray, MRI, Ultrasound, Arthroscopy). Our previous studies have shown biochemical and structural changes in early stage of osteoarthritic cartilage [ 4 , 5 , 6 ]. In addition to the biochemical and structural changes, the biomechanical properties of the articular cartilage have been shown to evolve with the stage of OA [ 7 , 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Compressive Stress-Relaxation Behavior in Osteoarthritic (ICRS Graded) Human Articular Cartilage

Kumar

Pierce

Isaksen

et al. 2018

IJMS

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Osteoarthritis (OA) is a common joint disorder found mostly in elderly people. The role of mechanical behavior in the progression of OA is complex and remains unclear. The stress-relaxation behavior of human articular cartilage in clinically defined osteoarthritic stages may have importance in diagnosis and prognosis of OA. In this study we investigated differences in the biomechanical responses among human cartilage of ICRS grades I, II and III using polymer dynamics theory. We collected 24 explants of human articular cartilage (eight each of ICRS grade I, II and III) and acquired stress-relaxation data applying a continuous load on the articular surface of each cartilage explant for 1180 s. We observed a significant decrease in Young’s modulus, stress-relaxation time, and stretching exponent in advanced stages of OA (ICRS grade III). The stretch exponential model speculated that significant loss in hyaluronic acid polymer might be the reason for the loss of proteoglycan in advanced OA. This work encourages further biomechanical modelling of osteoarthritic cartilage utilizing these data as input parameters to enhance the fidelity of computational models aimed at revealing how mechanical behaviors play a role in pathogenesis of OA.

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Optical investigation of osteoarthritic human cartilage (ICRS grade) by confocal Raman spectroscopy: a pilot study

Abstract: Biomolecular changes in the cartilage matrix dur-

Cited by 40 publications

References 56 publications

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

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

Attenuated total reflection Fourier‐transform infrared (ATR‐FTIR) spectroscopy to diagnose osteoarthritis in equine serum

Comparison of Compressive Stress-Relaxation Behavior in Osteoarthritic (ICRS Graded) Human Articular Cartilage

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