论文部分内容阅读
目的探讨锥形束 CT 测量下颌骨髁突松质骨结构的可行性,了解下颌骨髁突松质骨结构的分布特点。方法用锥形束 CT 对40名健康青年志愿者(20～32岁)的80侧下颌骨,获取髁突冠状位正中层面图像,用自行设计的图像分析软件对图像进行二值化处理,并分8区对松质骨结构参数进行分析,包括单位体积内的松质骨体积即骨小梁体积分数、测量范围内骨小梁的平均厚度即骨小梁厚度、单位毫米长度内骨小梁数目及骨小梁间的平均空间距离即小梁分离度。结果髁突上区与中、下区的所有松质骨结构参数值均不同,差异有统计学意义(P<0.05);髁突上区骨小梁体积分数最高(52.2%),骨小梁数目最多(1.33 mm~(-1)),骨小梁厚度(393.48μm)和骨小梁分离度(361.59μm)最小;两侧髁突松质骨的结构参数值差异无统计学意义(P>0.05)。结论下颌骨髁突内部的松质骨结构分布不均,但两侧的分布对称;用锥形束 CT 结合图像分析技术可以实现髁突松质骨结构的体内定量分析。
Objective To investigate the feasibility of cone beam computed tomography (CT) in the measurement of mandibular condylar cancellous bone structure and to understand the distribution characteristics of mandibular condylar cancellous bone. Methods Conical beam computed tomography (CT) was used to acquire the median coronal plane images of 40 healthy young volunteers (20 ~ 32 years old) from 80 mandibles. The images were binarized with self-designed image analysis software Analysis of the cancellous bone structure parameters in Zone 8 included the volume of cancellous bone in the unit volume, the volume fraction of trabecular bone, the average thickness of the trabecular bone in the measurement range, the thickness of the trabecular bone, the length of the trabecular bone in millimeters The number of trabecular bone and the average distance between the trabecular separation. Results All the cancellous bone structure parameters in the upper condyle area and in the middle and lower area were different, with statistical significance (P <0.05). The highest volume fraction of trabecular bone was in the superior condyle (52.2%), (1.33 mm -1), trabecular thickness (393.48 μm) and trabecular separation (361.59 μm) were the smallest. There was no significant difference in the structural parameters of condylar cancellous bone between the two sides (P > 0.05). Conclusion The distribution of cancellous bone in mandibular condyle is not uniform, but the distribution of cancellous bone is symmetrical on both sides. In vivo quantitative analysis of condylar cancellous bone can be realized by cone beam computed tomography combined with image analysis.