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基于拉曼光谱的水含量是关节人软骨机械功能的负预测因子。

Raman spectroscopy-based water content is a negative predictor of articular human cartilage mechanical function.

机构信息

Department of Mechanical Engineering, Karamanoğlu Mehmetbey University, Karaman 70100, Turkey; Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106, USA; Center for Applied Raman Spectroscopy, Case Western Reserve University, Cleveland, OH 44106, USA.

Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106, USA; Center for Applied Raman Spectroscopy, Case Western Reserve University, Cleveland, OH 44106, USA; Department of Orthopaedics, Case Western Reserve University, Cleveland, OH 44106, USA; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.

出版信息

Osteoarthritis Cartilage. 2019 Feb;27(2):304-313. doi: 10.1016/j.joca.2018.10.003. Epub 2018 Oct 22.

Abstract

OBJECTIVE

Probing the change in water content is an emerging approach to assess early diagnosis of osteoarthritis (OA). We herein developed a new method to assess hydration status of cartilage nondestructively using Raman spectroscopy (RS), and showed association of Raman-based water and organic content measurement with mechanical properties of cartilage. We further compared Raman-based water measurement to gravimetric and magnetic resonance imaging (MRI)-based water measurement.

DESIGN

Eighteen cadaveric human articular cartilage plugs from 6 donors were evenly divided into two age groups: young (n = 9, mean age: 29.3 ± 6.6) and old (n = 9, mean age: 64.0 ± 1.5). Water content in cartilage was measured using RS, gravimetric, and MRI-based techniques. Using confined compression creep test, permeability and aggregate modulus were calculated. Regression analyses were performed among RS parameters, MRI parameter, permeability, aggregate modulus and gravimetrically measured water content.

RESULTS

Regardless of the method used to calculate water content (gravimetric, RS and MRI), older cartilage group consistently had higher water content compared to younger group. There was a stronger association between gravimetric and RS-based water measurement (R = 0.912) than between gravimetric and MRI-based water measurement (R = 0.530). Gravimetric and RS-based water contents were significantly correlated with permeability and aggregate modulus whereas MRI-based water measurement was not.

CONCLUSION

RS allows for quantification of different water compartments in cartilage nondestructively, and estimation of up to 82% of the variation observed in the permeability and aggregate modulus of articular cartilage. RS has the potential to be used clinically to monitor cartilage quality noninvasively or minimally invasively with Raman probe during arthroscopy procedures.

摘要

目的

探测水分含量的变化是评估骨关节炎(OA)早期诊断的一种新方法。本研究开发了一种新方法,使用拉曼光谱(RS)无损评估软骨的水合状态,并显示基于拉曼的水和有机含量测量与软骨机械性能之间的相关性。我们进一步将基于拉曼的水测量与重量法和磁共振成像(MRI)基水测量进行了比较。

设计

从 6 名供体中均匀地将 18 个关节软骨插件分为两组:年轻(n=9,平均年龄:29.3±6.6)和老年(n=9,平均年龄:64.0±1.5)。使用 RS、重量法和 MRI 基技术测量软骨中的水分含量。使用约束压缩蠕变试验计算渗透率和聚集弹性模量。在 RS 参数、MRI 参数、渗透率、聚集弹性模量和重量法测量的水分含量之间进行回归分析。

结果

无论使用何种方法(重量法、RS 和 MRI)计算水分含量,老年软骨组的水分含量始终高于年轻组。重量法和 RS 基水测量之间的相关性更强(R=0.912),而重量法和 MRI 基水测量之间的相关性较弱(R=0.530)。重量法和 RS 基水含量与渗透率和聚集弹性模量显著相关,而 MRI 基水含量则不然。

结论

RS 可无损定量评估软骨中不同的水分区室,并估计关节软骨渗透率和聚集弹性模量变化的 82%。RS 具有潜在的临床应用价值,可在关节镜手术期间使用拉曼探头非侵入性或微创性地监测软骨质量。

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