基于3D偏差分析的成人桡骨远端解剖对称性研究

doi:10.13418/j.issn.1001-165x.2017.04.007

Abstract

Abstract:

Objective　To evaluate the anatomical symmetry of the bilateral distal radius in adults using morphological measurement.　Methods　Three-dimensional reconstruction was carried out using the CT scans of 15 pairs of distal radius of the volunteers enrolled. The radial models were sectioned in distal 1/3 parts. Two geometric measurements of bilateral distal radii, volume and surface area, were obtained from each object. Furthermore, quantification and visualizationof the anatomical symmetry of bilateral distal radius were conducted using the three-dimensional deviation analysis method. 　Results　Regarding the surface area, the maximal percent difference between the left and right distal radius was no more than 5.6%(P=0.004). Similarly, regarding the volume, the maximal percent difference between the left and right distal radius was no more than 9.1%(P=0.005). Results of the three-dimensional deviation analyses showed that the maximal mean negative deviation was -0.40 mm while the maximal mean positive deviation was 0.34 mm. Moreover, it was observed that the relatively high deviation distributed in those regions away from the joint facets.　Conclusions　The bilateral distal radii show an excellent anatomical symmetry. In clinical practice, for the anatomical reconstruction of the distal intra-articular radial fracture, the mirror model of the intact radius can be used as reference to guide the fracture reduction precisely during operation. This has great significance for the restoration of the postoperative function of the radiocarpal joint.

Key words: Distal radius; , Anatomy; , Three-dimensional reconstruction; , Deviation analysis; , Fracture

ZHANG Yi, DENG Yu-ping, WANG Mian, TAN Jin-chuan, OUYANG Han-bin, HUANG Wen-hua. An anatomical symmetry study of distal radius in adults via three-dimensional deviation analysis[J]. Chinese Journal Of Clinical Anatomy, 2017, 35(4): 388-393.

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An anatomical symmetry study of distal radius in adults via three-dimensional deviation analysis

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