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基于颅骨形态学估算翼点的个体位置。

Estimating the Person-Specific Location of Pterion Based on Cranial Morphometry.

机构信息

Department of Anatomy, Faculty of Medicine, Harran University, Sanliurfa, Turkey.

出版信息

J Craniofac Surg. 2022;33(5):1599-1602. doi: 10.1097/SCS.0000000000008229. Epub 2021 Oct 12.

Abstract

OBJECTIVE

Due to being the weakest sutural junction of the crania and relations with intracranial anatomical structures, the accurate location of the pterion is important for surgical approaches such as in pterional craniotomy. The aim of the study was to develop regression equations to estimate the person-specific accurate location of the pterion based on the cranial morphometry.

MATERIALS AND METHODS

The study was conducted on 22 pterions located 11 dry skulls belonging to Anatomy Department of the Harran University, Medical Faculty. Twelve parameters related to pterion and 23 parameters related to the skull was measured using ImageJ software. SPSS 20.0 was performed for statistical analyses such as descriptive and comparative statistics and developing regression equations.

RESULTS

Statistically significant difference wasn't observed between right and left sides. The 12 equations, such as P8:distance between pterion and the tip of the mastoid process= 63,780 + (1,366 × K6) - (2,786 × K7) + (1,342 × K11) - (1,029 × K13) + (2,102 × K14) - (1,710 × K15) - (0,517 × 22) Adjusted R2= 0.995 and Standard Errors = 1.221 were developed to estimate the accurate location of the pterion based on the cranial morphometry.

CONCLUSIONS

In the previous studies, the mean distances of the pterion to certain landmarks on the crania were given. The authors developed formulas in order to estimate the accurate person-specific location of the pterion. The authors are convinced that the equations they have developed will help neurosurgeons in terms of surgical approaches.

摘要

目的

翼点是颅骨最薄弱的缝合连接处,与颅内解剖结构有关,因此对于翼点入路等手术至关重要。本研究旨在基于颅骨形态学,建立回归方程来估计翼点的个体特异性精确位置。

材料与方法

本研究在哈兰大学医学院解剖学系的 11 具干颅骨上的 22 个翼点进行。使用 ImageJ 软件测量了与翼点相关的 12 个参数和与颅骨相关的 23 个参数。使用 SPSS 20.0 进行统计分析,如描述性和比较性统计以及回归方程的建立。

结果

左右两侧之间没有观察到统计学上的显著差异。通过 12 个方程,如 P8:翼点与乳突尖端的距离=63.780 + (1.366 × K6) - (2.786 × K7) + (1.342 × K11) - (1.029 × K13) + (2.102 × K14) - (1.710 × K15) - (0.517 × 22),调整后的 R2=0.995 和标准误差=1.221,可以基于颅骨形态学来估计翼点的精确位置。

结论

在以前的研究中,给出了翼点到颅骨上某些标志点的平均距离。作者建立了公式,以估计翼点的个体特异性精确位置。作者相信,他们所开发的公式将有助于神经外科医生进行手术入路。

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