Measurement and Analysis of the Size of Sella Turcica in Patients with Different Skeletal Facial Types

doi:10.13701/j.cnki.kqyxyj.2022.06.006

Abstract

Abstract: Objective: To measure the size of sella turcica in patients with different skeletal facial types and explore the correlation between the size of sella turcica and craniofacial measurements. Methods: Lateral cephalograms of 126 patients were retrospectively analyzed. According to sagittal facial type, they were divided into skeletal classⅠ, skeletal classⅡ, and skeletal classⅢ. According to vertical facial type, they were divided into average-angle group, low-angle group, and high-angle group. Data related to craniofacial hard tissues and sella turcica were measured and analyzed. Results: There were no significant differences in sella size between different genders. There were no significant differences in the size of sella turcica among the sagittal facial type groups (P>0.05). In the vertical facial type group, the diameter, depth, and area of sella turcica in high-angle group were larger than those in other two groups (P<0.05). But in the average-angle group and low-angle group, there were no significant differences (P>0.05). The length of sella turcica was positively related to mandibular plane angle (P<0.05). The diameter, depth, and area were positively related to the total face height, lower face height, mandibular length, and mandibular plane angle (P<0.05). Conclusion: The association between the size of sella turcica and vertical facial types is significant. The trend of high angle type is more obvious with the increase of diameter, depth, and area of sella turcica, and it can provide reference for orthodontic diagnosis and treatments.

Key words: sella turcica, sagittal facial type, vertical facial type, lateral cranial radiographs

LI Zhenzhen, WU Yao, XU Yishan, SI Chao, LIU Jia, CAO Yu, ZHANG Huichao, YANG Luyi. Measurement and Analysis of the Size of Sella Turcica in Patients with Different Skeletal Facial Types[J]. Journal of Oral Science Research, 2022, 38(6): 513-517.

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