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利用统计形状和特征建模确定人类尸体下颌骨髁突的性别差异。

Determination of sex differences of human cadaveric mandibular condyles using statistical shape and trait modeling.

机构信息

Southwest Research Institute, Mechanical Engineering Division, 6220 Culebra Road, San Antonio, TX 78228, United States.

College of Dentistry, The Ohio State University, 4088 Postle Hall, 305 W. 12th Ave, Columbus, OH 43210, United States.

出版信息

Bone. 2018 Jan;106:35-41. doi: 10.1016/j.bone.2017.10.003. Epub 2017 Oct 4.

Abstract

The objective of this study was to elucidate sex differences in the anatomy of human temporomandibular joint mandibular condyles using a statistical shape and trait model (SSTM). Mandibles were obtained from 16 human cadavers (79±13years). The condyles were scanned using micro-computed tomography with 27μm resolution. An image processing algorithm was used to segment the bone, determine the border of the entire mandibular condyle and trabecular bone compartments, and create triangulated meshes of the compartments. One subject was chosen as the template and was registered to the other individuals using a coherence point drift algorithm. This process positioned all vertices at corresponding anatomic locations. For the trabecular bone region, around each vertex position, the average bone image intensity, which is proportional to bone density, and microstructural traits, including trabecular bone volume fraction, thickness, separation, connectivity, and connectivity density were calculated. For the entire mandibular condyle mesh, the surface vertices were extracted to represent the overall anatomy of the condyle. Using a SSTM, the shape and trait information was reduced to a small set of independent and uncorrelated variables for each individual. Wilcoxon rank sum tests were used to test for differences in the variables between sexes. A lasso approach was used to determine a set of variables that differentiate between sexes. Male condyles were on average larger than female condyles, with complex differences in the microstructural traits. Two out of 15 principal components were statistically different between males and females (p<0.1). The lasso approach determined a set of 7 principal components that fully described the complex shape and trait differences between males and females. A SSTM was able to determine sex-dependent differences in the shape of the mandibular condyle. These differences may alter the biomechanics of the joint and contribute to the development of temporomandibular joint disease.

摘要

本研究旨在利用统计形状和特征模型(SSTM)阐明人类颞下颌关节髁突的解剖性别差异。从 16 具人体尸体(79±13 岁)中获取下颌骨。使用具有 27μm 分辨率的微计算机断层扫描对髁突进行扫描。使用图像处理算法对骨骼进行分割,确定整个髁突和小梁骨区域的边界,并创建这些区域的三角网格。选择一个主体作为模板,并使用一致性点漂移算法将其注册到其他个体。此过程将所有顶点定位到相应的解剖位置。对于小梁骨区域,在每个顶点位置周围,计算与骨密度成正比的平均骨图像强度以及微结构特征,包括小梁骨体积分数、厚度、分离度、连通性和连通密度。对于整个髁突网格,提取表面顶点以代表髁突的整体解剖结构。使用 SSTM,将形状和特征信息简化为每个个体的一组独立且不相关的变量。使用 Wilcoxon 秩和检验测试性别之间变量的差异。使用套索方法确定一组可区分性别的变量。男性髁突的平均尺寸大于女性髁突,并且小梁骨特征存在复杂差异。在男性和女性之间,有两个主成分在统计学上存在差异(p<0.1)。套索方法确定了一组可完全描述男性和女性之间复杂形状和特征差异的 7 个主成分。SSTM 能够确定下颌髁突形状的性别依赖性差异。这些差异可能会改变关节的生物力学,并导致颞下颌关节疾病的发展。

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