title: Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score.
abstract: OBJECTIVE
  The aim of this study was to demonstrate the potential of near-infrared (NIR) spectroscopy for categorizing cartilage degeneration induced in animal models.
  
  
  METHODS
  Three models of osteoarthritic degeneration were induced in laboratory rats via one of the following methods: (1) menisectomy (MSX); (2) anterior cruciate ligament transection (ACLT); and (3) intra-articular injection of mono-ido-acetate (1 mg) (MIA), in the right knee joint, with 12 rats per model group. After 8 weeks, the animals were sacrificed and tibial knee joints were collected. A custom-made near-infrared (NIR) probe of diameter 5 mm was placed on the cartilage surface and spectral data were acquired from each specimen in the wave number range 4,000-12,500 cm(-1). Following spectral data acquisition, the specimens were fixed and Safranin-O staining was performed to assess disease severity based on the Mankin scoring system. Using multivariate statistical analysis based on principal component analysis and partial least squares regression, the spectral data were then related to the Mankin scores of the samples tested.
  
  
  RESULTS
  Mild to severe degenerative cartilage changes were observed in the subject animals. The ACLT models showed mild cartilage degeneration, MSX models moderate, and MIA severe cartilage degenerative changes both morphologically and histologically. Our result demonstrates that NIR spectroscopic information is capable of separating the cartilage samples into different groups relative to the severity of degeneration, with NIR correlating significantly with their Mankin score (R(2) = 88.85%).
  
  
  CONCLUSIONS
  We conclude that NIR is a viable tool for evaluating articular cartilage health and physical properties such as change in thickness with degeneration.
authors: School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia.
authors: I
authors: I
authors: Afara
authors: I
authors: I
authors: Prasadam
authors: R
authors: R
authors: Crawford
authors: Y
authors: Y
authors: Xiao
authors: A
authors: A
authors: Oloyede
mesh_terms: D000818:Animals; D001169:Arthritis, Experimental / Q000473:pathology*; D002357:Cartilage Diseases / Q000150:complications / Q000473:pathology*; D002358:Cartilage, Articular / Q000293:injuries / Q000473:pathology*; D007091:Image Processing, Computer-Assisted; D008297:Male; D010003:Osteoarthritis / Q000150:complications / Q000473:pathology*; D025341:Principal Component Analysis; D051381:Rats; D011921:Rats, Inbred WKY; D012720:Severity of Illness Index; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D013264:Stifle / Q000293:injuries / Q000473:pathology