ArticleThe American journal of sports medicine2012
Infrared fiber optic probe evaluation of degenerative cartilage correlates to histological grading.
Article in The American journal of sports medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 40 citations in OpenAlex.
- Depth-Wise Changes in Tibial and Femoral Human Knee Joint Cartilage at Different Severities of Osteoarthritis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026Article
- Semiconducting polymer dots for multifunctional integrated nanomedicine carriers.Materials today. Bio · 2024Review
- Raman Spectroscopy and Machine Learning Enables Estimation of Articular Cartilage Structural, Compositional, and Functional Properties.Annals of biomedical engineering · 2023Article
- Infrared spectroscopy is suitable for objective assessment of articular cartilage health.Osteoarthritis and cartilage open · 2022Article
- Raman spectroscopic insight into osteoarthritic cartilage regeneration by mRNA therapeutics encoding cartilage-anabolic transcription factor Runx1.Materials today. Bio · 2022Article
- Article
- Vibrational Spectroscopy in Assessment of Early Osteoarthritis-A Narrative Review.International journal of molecular sciences · 2021Review
- Applications of Vibrational Spectroscopy for Analysis of Connective Tissues.Molecules (Basel, Switzerland) · 2021Review
- Characterization of connective tissues using near-infrared spectroscopy and imaging.Nature protocols · 2021Article
- Non-Destructive Spectroscopic Assessment of High and Low Weight Bearing Articular Cartilage Correlates with Mechanical Properties.Cartilage · 2019Article
- Near-Infrared Spectroscopy Predicts Compositional and Mechanical Properties of Hyaluronic Acid-Based Engineered Cartilage Constructs.Tissue engineering. Part A · 2018Article
- Imaging of Osteoarthritic Human Articular Cartilage using Fourier Transform Infrared Microspectroscopy Combined with Multivariate and Univariate Analysis.Scientific reports · 2016Article
- Near infrared spectroscopic imaging assessment of cartilage composition: Validation with mid infrared imaging spectroscopy.Analytica chimica acta · 2016Article
- Nondestructive Assessment of Engineered Cartilage Composition by Near Infrared Spectroscopy.Annals of biomedical engineering · 2016Article
- Monitoring the Progression of Spontaneous Articular Cartilage Healing with Infrared Spectroscopy.Cartilage · 2015Article
- Fourier transform infrared spectroscopy to quantify collagen and elastin in an in vitro model of extracellular matrix degradation in aorta.The Analyst · 2014Article
- The contribution of bone and cartilage to the near-infrared spectrum of osteochondral tissue.Applied spectroscopy · 2014Article
- Near infrared spectroscopic evaluation of water in hyaline cartilage.Annals of biomedical engineering · 2013Article
- Fourier-transform infrared spectroscopic imaging of articular cartilage and biomaterials: A review.Trends in applied spectroscopy · 2013Article
- Fourier transform infrared imaging and infrared fiber optic probe spectroscopy identify collagen type in connective tissues.PloS one · 2013Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundOsteoarthritis (OA), a degenerative cartilage disease, results in alterations of the chemical and structural properties of 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 fiber optics 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
designComparative laboratory study.
methodsInfrared 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. A multivariate partial least squares algorithm using second-derivative spectra was developed to predict the histological modified Mankin score.
resultsThe partial least squares model derived from IFOP spectra predicted the modified Mankin score with a prediction error of approximately 1.4, which resulted in approximately 72% of the Mankin-scored tissues being predicted correctly and 96% being predicted within 1 grade of their true score.
conclusionThese data demonstrate that IFOP spectral parameters correlate with histological tissue grade and can be used to provide information on tissue composition. CLINICAL RELEVANCE: Infrared fiber optic probe studies have significant potential for the evaluation of cartilage tissue quality without the need for tissue harvest. Combined with arthroscopy, IFOP analysis could facilitate the definition of tissue margins in debridement procedures.
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Registered trials
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