Department of Physical Therapy, City University of New York - College of Staten Island, USA.
Department of Physical Therapy, City University of New York - College of Staten Island, USA; New York Centre for Biomedical Engineering, City University of New York - City College of New York, USA; Nanosciences Initiative, City University of New York - Advance Science Research Center, New York, USA.
Micron. 2019 Jun;121:1-7. doi: 10.1016/j.micron.2019.02.011. Epub 2019 Mar 1.
One of the most-scanned joints in preclinical animal models dealing with musculoskeletal pathologies is the mouse knee. While three-dimensional (3D) characterization of bone tissue porosity have previously been performed on cortical bone, it has not yet been comprehensively performed for the subchondral bone (SB) and the calcified cartilage (CC), which compose the subchondral mineralized zone (SMZ). Thus, it remains challenging to assess changes that occur in the SMZ of the mouse knee during pathologies such as osteoarthritis. One of the keys to addressing this challenge is to segment each layer to measure their morphologies, material properties, and porosity. Our study presents a novel approach for computing Tissue Mineral Density, 3D porosity, and the thickness of SB and CC in a mouse distal femur using High-Resolution Micro-Computed Tomography (HR-μCT). We have segmented the Vascular Porosity network, the osteocytes' lacunae of the SB, and the chondrocytes of the CC by using multi-thresholding and the percentage of chondrocytes porosity. Our results show a low intra- and inter-observer coefficient of variability. Regarding porosity and geometrical properties of both CC and SB, our results are within the range of the literature. Our approach opens new avenues for assessing porosity and vascular changes in the distal femur of preclinical animal models dealing with musculoskeletal pathologies such as osteoarthritis.
在涉及肌肉骨骼病理学的临床前动物模型中,扫描最多的关节之一是小鼠膝关节。虽然以前已经对皮质骨的骨组织孔隙率进行了三维(3D)特征描述,但尚未对构成软骨下矿化区(SMZ)的软骨下骨(SB)和钙化软骨(CC)进行全面描述。因此,仍然难以评估骨关节炎等病理过程中 SMZ 中发生的变化。解决这一挑战的关键之一是对每个层进行分割,以测量它们的形态、材料特性和孔隙率。我们的研究提出了一种使用高分辨率微计算机断层扫描(HR-μCT)计算小鼠股骨远端 SB 和 CC 的组织矿物质密度、3D 孔隙率和厚度的新方法。我们使用多阈值和软骨细胞孔隙率的百分比对血管孔隙网络、SB 的骨细胞腔和 CC 的软骨细胞进行了分割。我们的结果显示出较低的内部和观察者间变异性系数。关于 CC 和 SB 的孔隙率和几何特性,我们的结果在文献范围内。我们的方法为评估骨关节炎等肌肉骨骼病理学临床前动物模型中股骨远端的孔隙率和血管变化开辟了新途径。