ArticleScientific reports2018
Arthroscopic near infrared spectroscopy enables simultaneous quantitative evaluation of articular cartilage and subchondral bone in vivo.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 43 citations in OpenAlex.
- Visible and near-infrared spectroscopic method for correlative joint tissue analysis and visual and histologic grading.MethodsX · 2026Article
- Ex Vivo Differentiation of Cartilage Degeneration Severity and Subchondral Bone Using Vibroacoustic Signals from Instrument-Tissue Interaction.Sensors (Basel, Switzerland) · 2026Article
- Knee Osteoarthritis Diagnosis: Future and Perspectives.Biomedicines · 2025Review
- The transepicondylar distance is a reliable and easily measured parameter for estimating femoral cartilage surface area using MRI.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Article
- Spatial analysis of the osteoarthritis microenvironment: techniques, insights, and applications.Bone research · 2024Review
- Visible and Near-Infrared Spectroscopy Enables Differentiation of Normal and Early Osteoarthritic Human Knee Joint Articular Cartilage.Annals of biomedical engineering · 2023Article
- Near-Infrared Spectroscopy Enables Arthroscopic Histologic Grading of Human Knee Articular Cartilage.Arthroscopy, sports medicine, and rehabilitation · 2022Article
- Near infrared spectroscopic evaluation of biochemical and crimp properties of knee joint ligaments and patellar tendon.PloS one · 2022Article
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- Vibrational Spectroscopy in Assessment of Early Osteoarthritis-A Narrative Review.International journal of molecular sciences · 2021Review
- Optical Biomarkers for the Diagnosis of Osteoarthritis through Raman Spectroscopy: Radiological and Biochemical Validation Using Ex Vivo Human Cartilage Samples.Diagnostics (Basel, Switzerland) · 2021Article
- 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
- Evaluation of articular cartilage with quantitative MRI in an equine model of post-traumatic osteoarthritis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021Article
- Tissue optical properties combined with machine learning enables estimation of articular cartilage composition and functional integrity.Biomedical optics express · 2020Article
- Near Infrared Spectroscopy Enables Differentiation of Mechanically and Enzymatically Induced Cartilage Injuries.Annals of biomedical engineering · 2020Article
- Surgical osteochondral defect repair in the horse-a matter of form or function?Equine veterinary journal · 2020Review
- Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy.Cellular and molecular bioengineering · 2020Article
- Dataset on equine cartilage near infrared spectra, composition, and functional properties.Scientific data · 2019Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Arthroscopic assessment of articular tissues is highly subjective and poorly reproducible. To ensure optimal patient care, quantitative techniques (e.g., near infrared spectroscopy (NIRS)) could substantially enhance arthroscopic diagnosis of initial signs of post-traumatic osteoarthritis (PTOA). Here, we demonstrate, for the first time, the potential of arthroscopic NIRS to simultaneously monitor progressive degeneration of cartilage and subchondral bone in vivo in Shetland ponies undergoing different experimental cartilage repair procedures. Osteochondral tissues adjacent to the repair sites were evaluated using an arthroscopic NIRS probe and significant (p < 0.05) degenerative changes were observed in the tissue properties when compared with tissues from healthy joints. Artificial neural networks (ANN) enabled reliable (ρ = 0.63-0.87, NMRSE = 8.5-17.2%, RPIQ = 1.93-3.03) estimation of articular cartilage biomechanical properties, subchondral bone plate thickness and bone mineral density (BMD), and subchondral trabecular bone thickness, bone volume fraction (BV), BMD, and structure model index (SMI) from in vitro spectral data. The trained ANNs also reliably predicted the properties of an independent in vitro test group (ρ = 0.54-0.91, NMRSE = 5.9-17.6%, RPIQ = 1.68-3.36). However, predictions based on arthroscopic NIR spectra were less reliable (ρ = 0.27-0.74, NMRSE = 14.5-24.0%, RPIQ = 1.35-1.70), possibly due to errors introduced during arthroscopic spectral acquisition. Adaptation of NIRS could address the limitations of conventional arthroscopy through quantitative assessment of lesion severity and extent, thereby enhancing detection of initial signs of PTOA. This would be of high clinical significance, for example, when conducting orthopaedic repair surgeries.
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