Kontio Risto, Wilkman Tommy, Mesimäki Karri, Chepurnyi Yurii, Asikainen Antti, Haapanen Aleksi, Poutala Arto, Mikkonen Marko, Slobodianiuk Alina, Kopchak Andrii
Department of Oral and Maxillofacial Surgery, Helsinki University Hospital, 00290 Helsinki, Finland.
Institute of Oral and Maxillofacial Diseases, Helsinki University, 00014 Helsinki, Finland.
J Pers Med. 2024 May 11;14(5):508. doi: 10.3390/jpm14050508.
(1)The study aimed to measure the depth, volume, and surface area of the intact human orbit by applying an automated method of CT segmentation and to evaluate correlations among depth, volume, and surface area. Additionally, the relative increases in volume and surface area in proportion to the diagonal of the orbit were assessed. (2) CT data from 174 patients were analyzed. A ball-shaped mesh consisting of tetrahedral elements was inserted inside orbits until it encountered the bony boundaries. Orbital volume, area depth, and their correlations were measured. For the validation, an ICC was used. (3) The differences between genders were significant ( < 10) but there were no differences between sides. When comparing orbit from larger to smaller, a paired sample -test indicated a significant difference in groups ( < 10). A simple linear model (Volume~1 + Gender + Depth + Gender:Depth) revealed that only depth had a significant effect on volume ( < 10). The ICCs were 1.0. (4) Orbital volume, depth, and surface area measurements based on an automated CT segmentation algorithm demonstrated high repeatability and reliability. Male orbits were always larger on average by 14%. There were no differences between the sides. The volume and surface area ratio did not differ between genders and was approximately 0.75.
(1)本研究旨在通过应用CT自动分割方法测量完整人体眼眶的深度、容积和表面积，并评估深度、容积和表面积之间的相关性。此外，还评估了容积和表面积相对于眼眶对角线的相对增加量。(2)分析了174例患者的CT数据。将由四面体单元组成的球形网格插入眼眶内，直至遇到骨边界。测量眼眶容积、面积深度及其相关性。为进行验证，使用了组内相关系数(ICC)。(3)性别之间存在显著差异(P<0.01)，但两侧之间无差异。从较大眼眶与较小眼眶进行比较时，配对样本t检验表明组间存在显著差异(P<0.01)。一个简单线性模型(容积~1+性别+深度+性别:深度)显示，只有深度对容积有显著影响(P<0.01)。ICC为1.0。(4)基于CT自动分割算法的眼眶容积、深度和表面积测量显示出高重复性和可靠性。男性眼眶平均总是大14%。两侧之间无差异。性别之间的容积与表面积之比无差异，约为0.75。
