作者: Jaakko K. Sarin , Michael Amissah , Harold Brommer , David Argüelles , Juha Töyräs
DOI: 10.1007/S10439-016-1659-6
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摘要: Mechanical properties of articular cartilage are vital for normal joint function, which can be severely compromised by injuries. Quantitative characterization injuries, and evaluation stiffness thickness means conventional arthroscopy is poorly reproducible or impossible. In this study, we demonstrate the potential near infrared (NIR) spectroscopy predicting mapping functional equine at around lesion sites. Lesion non-lesion areas interests (AI, N = 44) joints (N = 5) were divided into grids NIR spectra acquired from all grid points (N = 869). Partial least squares (PLS) regression was used to investigate correlation between absorbance thickness, equilibrium modulus, dynamic instantaneous modulus 41 AIs. Subsequently, developed PLS models validated with spectral data 3 independent Significant correlations obtained (R 2 = 70.3%, p < 0.0001), 2 = 67.8%, 2 = 68.9%, p < 0.0001) 2 = 41.8%, p < 0.0001). Relatively low errors observed in predicted (5.9%) (9.0%) maps. Thus, if well implemented, could enable arthroscopic