{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4(5)"],"submitter":["Sarin JK"],"pubmed_abstract":["Purpose
To develop the means to estimate cartilage histologic grades and proteoglycan content in ex vivo arthroscopy using near-infrared spectroscopy (NIRS).Methods
In this experimental study, arthroscopic NIR spectral measurements were performed on both knees of 9 human cadavers, followed by osteochondral block extraction and in vitro measurements: reacquisition of spectra and reference measurements (proteoglycan content, and three histologic scores). A hybrid model, combining principal component analysis and linear mixed-effects model (PCA-LME), was trained for each reference to investigate its relationship with in vitro NIR spectra. The performance of the PCA-LME model was validated with ex vivo spectra before and after the exclusion of outlying spectra. Model performanc"],"journal":["Arthroscopy, sports medicine, and rehabilitation"],"pagination":["e1767-e1775"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9596902"],"repository":["biostudies-literature"],"pubmed_title":["Near-Infrared Spectroscopy Enables Arthroscopic Histologic Grading of Human Knee Articular Cartilage."],"pmcid":["PMC9596902"],"pubmed_authors":["Shaikh R","Torniainen J","Toyras J","Kroger H","Sarin JK","Joukainen A","Afara IO","Prakash M"],"additional_accession":[]},"is_claimable":false,"name":"Near-Infrared Spectroscopy Enables Arthroscopic Histologic Grading of Human Knee Articular Cartilage.","description":"Purpose
To develop the means to estimate cartilage histologic grades and proteoglycan content in ex vivo arthroscopy using near-infrared spectroscopy (NIRS).Methods
In this experimental study, arthroscopic NIR spectral measurements were performed on both knees of 9 human cadavers, followed by osteochondral block extraction and in vitro measurements: reacquisition of spectra and reference measurements (proteoglycan content, and three histologic scores). A hybrid model, combining principal component analysis and linear mixed-effects model (PCA-LME), was trained for each reference to investigate its relationship with in vitro NIR spectra. The performance of the PCA-LME model was validated with ex vivo spectra before and after the exclusion of outlying spectra. Model performanc","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-22T02:08:00.32Z","creation":"2025-04-05T20:14:14.097Z"},"accession":"S-EPMC9596902","cross_references":{"pubmed":["36312728"],"doi":["10.1016/j.asmr.2022.07.002"]}}