Ristaniemi Aapo, Torniainen Jari, Paakkonen Tommi, Stenroth Lauri, Finnilä Mikko A J, Tanska Petri, Töyräs Juha, Korhonen Rami K
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
Data Brief. 2021 Mar 19;36:106976. doi: 10.1016/j.dib.2021.106976. eCollection 2021 Jun.
Knee joint ligaments and patellar tendon are rope-like tissues that enable the proper function of the knee by connecting the bones that form the joint. A better understanding of ligament structure-function relationships is needed to develop objective and reliable diagnostic methods for ligaments. Recently, arthroscopic near infrared spectroscopy (NIR) has shown the potential to quantitatively evaluate the health of the cartilages and menisci of the knee. In this dataset, we present a unique combination of NIR spectral data, biomechanical properties, and biochemical composition of bovine primary knee ligaments and patellar tendon (10 knees, 50 tissue samples). NIR spectral data were measured at 5 locations in each sample, biomechanical properties were obtained with tensile testing, and biochemical composition was quantified using colorimetric biochemical methods. The data can be reused for investigations of structure-function relationships of knee ligaments and patellar tendon, for the development of NIR spectroscopic methods to quantify the health of these tissues, and to develop new computational models to describe ligament and tendon biomechanics.
膝关节韧带和髌腱是绳状组织，通过连接构成关节的骨骼来使膝关节正常运作。为了开发客观可靠的韧带诊断方法，需要更好地理解韧带的结构-功能关系。最近，关节镜近红外光谱（NIR）已显示出定量评估膝关节软骨和半月板健康状况的潜力。在这个数据集中，我们展示了牛原发性膝关节韧带和髌腱（10个膝关节，50个组织样本）的近红外光谱数据、生物力学特性和生化组成的独特组合。在每个样本的5个位置测量近红外光谱数据，通过拉伸试验获得生物力学特性，并使用比色生化方法对生化组成进行定量。这些数据可重新用于膝关节韧带和髌腱结构-功能关系的研究、开发用于量化这些组织健康状况的近红外光谱方法，以及开发描述韧带和肌腱生物力学的新计算模型。
