Raman spectroscopy-based water measurements identify the origin of MRI T2 signal in human articular cartilage zones and predict histopathologic score.
Raman spectroscopy-based water measurements identify the origin of MRI T2 signal in human articular cartilage zones and predict histopathologic score.
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DOI：
10.1002/jbio.202100212
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发表时间：
2022-01
影响因子：
2.8
通讯作者：
Akkus O
中科院分区：
文献类型：
--
作者：
Unal M;Wilson RL;Neu CP;Akkus O
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 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. Water content measurements in cartilage is an emerging approach for early diagnosis of Osteoarthritis (OA). We herein assessed associations among histopathologic scoring of OA-severity, MRI-based, and Raman spectroscopy (RS)-based water measurements. RS is able to probe different water compartments in cartilage zones and can shed light on the origin of T2 signals from different cartilage zones. RS-based hydration status assessment is able to explain ~66% variance in the histopathologic score.
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影响因子：
2.5
作者：
Barroso, E. M.;Schut, T. C. Bakker;Puppels, G. J.
通讯作者：
Puppels, G. J.
影响因子：
2.1
作者：
Hesper, Tobias;Hosalkar, Harish S.;Bittersohl, Bernd
通讯作者：
Bittersohl, Bernd
影响因子：
2.2
作者：
Dabiri, Y.;Li, L. P.
通讯作者：
Li, L. P.
影响因子：
2.8
作者：
Krishnan, R;Kopacz, M;Ateshian, GA
通讯作者：
Ateshian, GA
DOI：
10.1039/c0an00824a
发表时间：
2011-04-21
期刊：
The Analyst
影响因子：
--
作者：
Esmonde-White KA;Esmonde-White FW;Morris MD;Roessler BJ
通讯作者：
Roessler BJ