Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
PLoS One. 2022 Feb 14;17(2):e0263280. doi: 10.1371/journal.pone.0263280. eCollection 2022.
Knee ligaments and tendons play an important role in stabilizing and controlling the motions of the knee. Injuries to the ligaments can lead to abnormal mechanical loading of the other supporting tissues (e.g., cartilage and meniscus) and even osteoarthritis. While the condition of knee ligaments can be examined during arthroscopic repair procedures, the arthroscopic evaluation suffers from subjectivity and poor repeatability. Near infrared spectroscopy (NIRS) is capable of non-destructively quantifying the composition and structure of collagen-rich connective tissues, such as articular cartilage and meniscus. Despite the similarities, NIRS-based evaluation of ligament composition has not been previously attempted. In this study, ligaments and patellar tendon of ten bovine stifle joints were measured with NIRS, followed by chemical and histological reference analysis. The relationship between the reference properties of the tissue and NIR spectra was investigated using partial least squares regression. NIRS was found to be sensitive towards the water (R2CV = .65) and collagen (R2CV = .57) contents, while elastin, proteoglycans, and the internal crimp structure remained undetectable. As collagen largely determines the mechanical response of ligaments, we conclude that NIRS demonstrates potential for quantitative evaluation of knee ligaments.
膝关节的韧带和肌腱在稳定和控制膝关节运动方面起着重要作用。韧带损伤可导致其他支持组织(如软骨和半月板)的异常机械负荷,甚至导致骨关节炎。虽然膝关节韧带的状况可以在关节镜修复手术中进行检查,但关节镜评估存在主观性和可重复性差的问题。近红外光谱(NIRS)能够无损地定量评估富含胶原的关节软骨和半月板等结缔组织的成分和结构。尽管存在相似性,但之前尚未尝试使用基于 NIRS 的韧带成分评估方法。在这项研究中,使用 NIRS 对 10 个牛膝关节的韧带和髌腱进行了测量,随后进行了化学和组织学参考分析。使用偏最小二乘回归(PLSR)研究了组织的参考特性与 NIR 光谱之间的关系。结果表明,NIRS 对水分(R2CV =.65)和胶原(R2CV =.57)含量敏感,而弹性蛋白、蛋白聚糖和内部卷曲结构仍无法检测到。由于胶原在很大程度上决定了韧带的力学响应,因此我们得出结论,NIRS 具有定量评估膝关节韧带的潜力。