Matches in SemOpenAlex for { <https://semopenalex.org/work/W2940576799> ?p ?o ?g. }
- W2940576799 endingPage "1243" @default.
- W2940576799 startingPage "1235" @default.
- W2940576799 abstract "ObjectiveTo investigate the feasibility of near-infrared (NIR) spectroscopy (NIRS) for evaluation of human articular cartilage biomechanical properties during arthroscopy.DesignA novel arthroscopic NIRS probe designed in our research group was utilized by an experienced orthopedic surgeon to measure NIR spectra from articular cartilage of human cadaver knee joints (ex vivo, n = 18) at several measurement locations during an arthroscopic surgery. Osteochondral samples (n = 265) were extracted from the measurement sites for reference analysis. NIR spectra were remeasured in a controlled laboratory environment (in vitro), after which the corresponding cartilage thickness and biomechanical properties were determined. Hybrid multivariate regression models based on principal component analysis and linear mixed effects modeling (PCA-LME) were utilized to relate cartilage in vitro spectra and biomechanical properties, as well as to account for the spatial dependency. Additionally, a k-nearest neighbors (kNN) classifier was employed to reject outlying ex vivo NIR spectra resulting from a non-optimal probe-cartilage contact. Model performance was evaluated for both in vitro and ex vivo NIR spectra via Spearman's rank correlation (ρ) and the ratio of performance to interquartile range (RPIQ).ResultsRegression models accurately predicted cartilage thickness and biomechanical properties from in vitro NIR spectra (Model: 0.77 ≤ ρ ≤ 0.87, 2.03 ≤ RPIQ ≤ 3.0; Validation: 0.74 ≤ ρ ≤ 0.84, 1.87 ≤ RPIQ ≤ 2.90). When predicting cartilage properties from ex vivo NIR spectra (0.33 ≤ ρ ≤ 0.57 and 1.02 ≤ RPIQ ≤ 2.14), a kNN classifier enhanced the accuracy of predictions (0.52 ≤ ρ ≤ 0.87 and 1.06 ≤ RPIQ ≤ 1.88).ConclusionArthroscopic NIRS could substantially enhance identification of damaged cartilage by enabling quantitative evaluation of cartilage biomechanical properties. The results demonstrate the capacity of NIRS in clinical applications." @default.
- W2940576799 created "2019-05-03" @default.
- W2940576799 creator A5024070927 @default.
- W2940576799 creator A5028697569 @default.
- W2940576799 creator A5031345492 @default.
- W2940576799 creator A5035069374 @default.
- W2940576799 creator A5043080116 @default.
- W2940576799 creator A5061605544 @default.
- W2940576799 creator A5062811927 @default.
- W2940576799 creator A5063620391 @default.
- W2940576799 creator A5076719940 @default.
- W2940576799 date "2019-08-01" @default.
- W2940576799 modified "2023-10-15" @default.
- W2940576799 title "Near-infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy" @default.
- W2940576799 cites W1749326728 @default.
- W2940576799 cites W1945216193 @default.
- W2940576799 cites W1964267935 @default.
- W2940576799 cites W1966942346 @default.
- W2940576799 cites W1967320885 @default.
- W2940576799 cites W1967445547 @default.
- W2940576799 cites W1984179829 @default.
- W2940576799 cites W1987293964 @default.
- W2940576799 cites W1988994754 @default.
- W2940576799 cites W1999719680 @default.
- W2940576799 cites W2011038175 @default.
- W2940576799 cites W2012358846 @default.
- W2940576799 cites W2015423555 @default.
- W2940576799 cites W2019655958 @default.
- W2940576799 cites W2029652587 @default.
- W2940576799 cites W2030585912 @default.
- W2940576799 cites W2043004808 @default.
- W2940576799 cites W2045942656 @default.
- W2940576799 cites W2046029477 @default.
- W2940576799 cites W2068730399 @default.
- W2940576799 cites W2073858026 @default.
- W2940576799 cites W2076797747 @default.
- W2940576799 cites W2077243497 @default.
- W2940576799 cites W2088564623 @default.
- W2940576799 cites W2092573608 @default.
- W2940576799 cites W2098608226 @default.
- W2940576799 cites W2102732442 @default.
- W2940576799 cites W2106947283 @default.
- W2940576799 cites W2136513845 @default.
- W2940576799 cites W2146096861 @default.
- W2940576799 cites W2152962630 @default.
- W2940576799 cites W2287404633 @default.
- W2940576799 cites W2295849222 @default.
- W2940576799 cites W2403569873 @default.
- W2940576799 cites W2518243089 @default.
- W2940576799 cites W2614791974 @default.
- W2940576799 cites W2740850652 @default.
- W2940576799 cites W2809341467 @default.
- W2940576799 cites W2892264146 @default.
- W2940576799 cites W2893275777 @default.
- W2940576799 doi "https://doi.org/10.1016/j.joca.2019.04.008" @default.
- W2940576799 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31026649" @default.
- W2940576799 hasPublicationYear "2019" @default.
- W2940576799 type Work @default.
- W2940576799 sameAs 2940576799 @default.
- W2940576799 citedByCount "24" @default.
- W2940576799 countsByYear W29405767992020 @default.
- W2940576799 countsByYear W29405767992021 @default.
- W2940576799 countsByYear W29405767992022 @default.
- W2940576799 countsByYear W29405767992023 @default.
- W2940576799 crossrefType "journal-article" @default.
- W2940576799 hasAuthorship W2940576799A5024070927 @default.
- W2940576799 hasAuthorship W2940576799A5028697569 @default.
- W2940576799 hasAuthorship W2940576799A5031345492 @default.
- W2940576799 hasAuthorship W2940576799A5035069374 @default.
- W2940576799 hasAuthorship W2940576799A5043080116 @default.
- W2940576799 hasAuthorship W2940576799A5061605544 @default.
- W2940576799 hasAuthorship W2940576799A5062811927 @default.
- W2940576799 hasAuthorship W2940576799A5063620391 @default.
- W2940576799 hasAuthorship W2940576799A5076719940 @default.
- W2940576799 hasBestOaLocation W29405767991 @default.
- W2940576799 hasConcept C105702510 @default.
- W2940576799 hasConcept C120665830 @default.
- W2940576799 hasConcept C121332964 @default.
- W2940576799 hasConcept C136229726 @default.
- W2940576799 hasConcept C141071460 @default.
- W2940576799 hasConcept C142724271 @default.
- W2940576799 hasConcept C150903083 @default.
- W2940576799 hasConcept C154945302 @default.
- W2940576799 hasConcept C192562407 @default.
- W2940576799 hasConcept C204787440 @default.
- W2940576799 hasConcept C207001950 @default.
- W2940576799 hasConcept C26291073 @default.
- W2940576799 hasConcept C27438332 @default.
- W2940576799 hasConcept C2776164576 @default.
- W2940576799 hasConcept C2779162959 @default.
- W2940576799 hasConcept C2780550940 @default.
- W2940576799 hasConcept C3020332539 @default.
- W2940576799 hasConcept C41008148 @default.
- W2940576799 hasConcept C43571822 @default.
- W2940576799 hasConcept C71924100 @default.
- W2940576799 hasConcept C86803240 @default.
- W2940576799 hasConceptScore W2940576799C105702510 @default.
- W2940576799 hasConceptScore W2940576799C120665830 @default.