Raman spectroscopy-based water measurements identify the origin of MRI T2 signal in human articular cartilage zones and predict histopathologic score

被引:3
作者
Unal, Mustafa [1 ,2 ]
Wilson, Robert L. [3 ]
Neu, Corey P. [3 ]
Akkus, Ozan [1 ,4 ,5 ]
机构
[1] Case Western Reserve Univ, Dept Mech & Aerosp Engn, Cleveland, OH 44106 USA
[2] Karamanoglu Mehmetbey Univ, Dept Mech Engn, Karaman, Turkey
[3] Univ Colorado Boulder, Paul M Rady Dept Mech Engn, Boulder, CO USA
[4] Case Western Reserve Univ, Dept Orthopaed, Cleveland, OH 44106 USA
[5] Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA
基金
美国国家卫生研究院;
关键词
articular cartilage; histopathology; MRI; osteoarthritis; Raman spectroscopy; water; INTERSTITIAL FLUID PRESSURIZATION; MECHANICAL-PROPERTIES; DEPTH; OSTEOARTHRITIS; RELAXATION; KNEE; DEGENERATION; BIOCHEMISTRY; COMPRESSION; METABOLISM;
D O I
10.1002/jbio.202100212
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We investigated for the first time zonal-dependent water distribution in articular cartilage by Raman spectroscopy (RS). We further investigated the association of histopathologic score with RS- and magnetic resonance imaging (MRI)-based water measurements. Cadaveric human cartilage plugs (N = 16) with different osteoarthritis (OA) severity were used. Water content distribution in cartilage zones was probed using RS- and MRI-based techniques. Histopathologic scoring was performed by two independent observers blindly. Moderate associations existed between RS- and MRI-based water measurements across all cartilage zones. RS-based analysis of different water compartments helped assign the origin of the T2 signal collected from the various cartilage zones. RS-based water parameters significantly correlated with OA-severity score, whereas MRI-based water measurements did not. RS can probe different water compartments in cartilage zones and predict up to 66% of the variation observed in the histopathologic score. RS-based water measurement could be developed further to assess cartilage quality in the clinic.
引用
收藏
页数:12
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