ArticleScientific reports2017
Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Relationship between depth-wise refractive index and biomechanical properties of human articular cartilage.Journal of biomedical optics · 2024Article
- Near-Infrared Spectroscopy Enables Arthroscopic Histologic Grading of Human Knee Articular Cartilage.Arthroscopy, sports medicine, and rehabilitation · 2022Article
- Nondestructive testing of native and tissue-engineered medical products: adding numbers to pictures.Trends in biotechnology · 2022Review
- Assessing collagen alterations in enzymatic degradation models of osteoarthritis via second harmonic generation microscopy.Osteoarthritis and cartilage · 2021Article
- Articular cartilage optical properties in the near-infrared (NIR) spectral range vary with depth and tissue integrity.Biomedical optics express · 2021Article
- A review of low-cost and portable optical coherence tomography.Progress in biomedical engineering (Bristol, England) · 2021Article
- Engineering fiber anisotropy within natural collagen hydrogels.American journal of physiology. Cell physiology · 2021Review
- Characterization of connective tissues using near-infrared spectroscopy and imaging.Nature protocols · 2021Article
- Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy.Cellular and molecular bioengineering · 2020Article
- Non-Destructive Spectroscopic Assessment of High and Low Weight Bearing Articular Cartilage Correlates with Mechanical Properties.Cartilage · 2019Article
- Dataset on equine cartilage near infrared spectra, composition, and functional properties.Scientific data · 2019Article
- Arthroscopic Determination of Cartilage Proteoglycan Content and Collagen Network Structure with Near-Infrared Spectroscopy.Annals of biomedical engineering · 2019Article
- Arthroscopic near infrared spectroscopy enables simultaneous quantitative evaluation of articular cartilage and subchondral bone in vivo.Scientific reports · 2018Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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