Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Mechanical Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey.
J Biophotonics. 2022 Jan;15(1):e202100212. doi: 10.1002/jbio.202100212. Epub 2021 Nov 2.
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.
我们首次通过拉曼光谱（RS）研究了关节软骨的分区依赖性水分布。我们进一步研究了组织病理学评分与基于 RS 和磁共振成像（MRI）的水测量之间的关联。使用了具有不同骨关节炎（OA）严重程度的尸体人软骨塞（N=16）。使用基于 RS 和 MRI 的技术探测软骨区的水含量分布。由两名独立观察者进行组织病理学评分。在所有软骨区，RS 和 MRI 之间的水测量存在中度相关性。对不同水隔室的 RS 分析有助于确定从各个软骨区采集的 T2 信号的来源。RS 基础水参数与 OA 严重程度评分显著相关，而 MRI 基础水测量则没有。RS 可以探测软骨区的不同水隔室，并预测组织病理学评分中观察到的 66%的变化。RS 基础水测量可进一步开发用于评估临床中的软骨质量。
