Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
Sci Data. 2019 Aug 30;6(1):164. doi: 10.1038/s41597-019-0170-y.
Near infrared (NIR) spectroscopy is a well-established technique that is widely employed in agriculture, chemometrics, and pharmaceutical engineering. Recently, the technique has shown potential in clinical orthopaedic applications, for example, assisting in the diagnosis of various knee-related diseases (e.g., osteoarthritis) and their pathologies. NIR spectroscopy (NIRS) could be especially useful for determining the integrity and condition of articular cartilage, as the current arthroscopic diagnostics is subjective and unreliable. In this work, we present an extensive dataset of NIRS measurements for evaluating the condition, mechanical properties, structure, and composition of equine articular cartilage. The dataset contains NIRS measurements from 869 different locations across the articular surfaces of five equine fetlock joints. A comprehensive library of reference values for each measurement location is also provided, including results from a mechanical indentation testing, digital densitometry imaging, polarized light microscopy, and Fourier transform infrared spectroscopy. The published data can either be used as a model of human cartilage or to advance equine veterinary research.
近红外(NIR)光谱学是一种成熟的技术,广泛应用于农业、化学计量学和制药工程领域。最近,该技术在临床骨科应用方面显示出了潜力,例如,辅助诊断各种与膝关节相关的疾病(如骨关节炎)及其病理。近红外光谱学(NIRS)在确定关节软骨的完整性和状况方面可能特别有用,因为目前的关节镜诊断是主观和不可靠的。在这项工作中,我们提供了一个广泛的 NIRS 测量数据集,用于评估马关节软骨的状况、机械性能、结构和组成。该数据集包含来自五个马球节关节表面的 869 个不同位置的 NIRS 测量值。还提供了每个测量位置的综合参考值库,包括机械压痕测试、数字密度计量成像、偏光显微镜和傅里叶变换红外光谱的结果。已发表的数据既可以用作人类软骨的模型,也可以用于推进马兽医研究。