ArticleScientific reports2017
Monitoring osteoarthritis progression using near infrared (NIR) spectroscopy.
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 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 35 citations in OpenAlex.
- Ex Vivo Differentiation of Cartilage Degeneration Severity and Subchondral Bone Using Vibroacoustic Signals from Instrument-Tissue Interaction.Sensors (Basel, Switzerland) · 2026Article
- Developing a fiber-based diffuse reflectance spectroscopy setup for tissue optical property estimation.Biomedical optics express · 2026Article
- Protein Analysis by FT-IR/ATR Spectroscopy.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Harnessing Raman spectroscopy and multimodal imaging of cartilage for osteoarthritis diagnosis.Scientific reports · 2024Article
- Holistic vibrational spectromics assessment of human cartilage for osteoarthritis diagnosis.Biomedical optics express · 2024Article
- 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
- A Review of Machine Learning for Near-Infrared Spectroscopy.Sensors (Basel, Switzerland) · 2022Review
- Optical photothermal infrared spectroscopy can differentiate equine osteoarthritic plasma extracellular vesicles from healthy controls.Analytical methods : advancing methods and applications · 2022Article
- Assessment of Ligament Viscoelastic Properties Using Raman Spectroscopy.Annals of biomedical engineering · 2022Article
- Articular cartilage optical properties in the near-infrared (NIR) spectral range vary with depth and tissue integrity.Biomedical optics express · 2021Article
- Vibrational Spectroscopy in Assessment of Early Osteoarthritis-A Narrative Review.International journal of molecular sciences · 2021Review
- Characterization of connective tissues using near-infrared spectroscopy and imaging.Nature protocols · 2021Article
- Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer.Cancer management and research · 2021Review
- Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy.Cellular and molecular bioengineering · 2020Article
- Designing a super broadband near infrared material MgRSC advances · 2020Article
- Dataset on equine cartilage near infrared spectra, composition, and functional properties.Scientific data · 2019Article
- Standardization of complex biologically derived spectrochemical datasets.Nature protocols · 2019Article
- Protective Effect of Genistein on Condylar Cartilage through Downregulating NF-BioMed research international · 2019Article
- Characterizing human subchondral bone properties using near-infrared (NIR) spectroscopy.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We demonstrate in this study the potential of near infrared (NIR) spectroscopy as a tool for monitoring progression of cartilage degeneration in an animal model. Osteoarthritic degeneration was artificially induced in one joint in laboratory rats, and the animals were sacrificed at four time points: 1, 2, 4, and 6 weeks (3 animals/week). NIR spectra were acquired from both (injured and intact) knees. Subsequently, the joint samples were subjected to histological evaluation and glycosaminoglycan (GAG) content analysis, to assess disease severity based on the Mankin scoring system and to determine proteoglycan loss, respectively. Multivariate spectral techniques were then employed for classification (principal component analysis and support vector machines) and prediction (partial least squares regression) of the samples' Mankin scores and GAG content from their NIR spectra. Our results demonstrate that NIR spectroscopy is sensitive to degenerative changes in articular cartilage, and is capable of distinguishing between mild (weeks 1&2; Mankin <=2) and advanced (weeks 4&6; Mankin =>3) cartilage degeneration. In addition, the spectral data contains information that enables estimation of the tissue's Mankin score (error = 12.6%, R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.