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目的 松质骨连接性参数主要指小梁骨的节点数和游离末端数 ,是反映松质骨显微构筑的重要参数 ,而松质骨的构筑情况可直接影响其力学性能。本研究旨在观察骨质疏松症小梁骨连接性参数的改变 ,并介绍一种计算机辅助测量方法。方法 对老年人和青年人股骨头负重区与非负重区、卵巢切除后 7周大鼠椎体骨以及采用重组人生长激素治疗后的椎体标本 ,进行节点数和游离末端数的测量。并发展了小梁骨节点数和游离末端数的计算机图像自动分析系统。即采用 5 μm硬组织切片将其光镜图像输入计算机 ,用我们自行编制的程序进行分析 ,结果与人工计量方法比较 ,具有很好的相关性 (分别为 r=0 .95 ,r=0 .99)。结果 与青年人相比 ,老年人股骨头标本的节点数明显下降 ,游离末端数明显上升(均为 P<0 .0 5 ) ,卵巢切除 3个月后椎体小梁骨的节点数和游离末端数也呈现同样的变化趋势。而重组人生长激素治疗后这些参数有一定的改善 ,其中骨小梁节点数和末治疗组比较 ,其增加有统计学意义( P<0 .0 5 )。结论 骨小梁节点数的下降和游离末端的增加是骨质疏松症的主要病理特征 ,这两个参数的计测对骨质疏松症的诊断、骨折风险预测和药物疗效评定具有较大的参考价值。
Purpose The cancellous bone connectivity parameters mainly refer to the number of nodes and free ends of trabecular bone. It is an important parameter reflecting the microscopic construction of cancellous bone. The construction of cancellous bone can directly affect the mechanical properties. The purpose of this study was to investigate the changes of trabecular bone connectivity parameters in osteoporosis and to introduce a computer-aided measurement method. Methods The number of nodes and the number of free ends were measured in the femoral head weight-bearing and non-weight-bearing areas of the elderly and young people, the rat vertebral bone at 7 weeks after ovariectomy and the vertebral body specimens treated with recombinant human growth hormone. And the development of trabecular bone nodes and free ends of the computer image automatic analysis system. That is, 5 μm hard tissue sections were used to input the light microscope images into the computer and analyzed by our own program. The results were very good correlation with the manual measurement (r = 0.95, r = 0 respectively). 99). Results Compared with young people, the number of femoral heads in elderly patients decreased significantly and the number of free ends increased significantly (all P <0.05). After 3 months of ovariectomy, the number of vertebral trabecular bone nodes and free End-of-line also showed the same trend. The recombinant human growth hormone treatment of these parameters have some improvement, including the number of trabecular nodes compared with the end of the treatment group, the increase was statistically significant (P <0.05). Conclusions The decrease of trabecular number and the increase of free ends are the main pathological features of osteoporosis. The measurement of these two parameters has a great reference for the diagnosis of osteoporosis, fracture risk prediction and drug efficacy evaluation value.