Abstract: We have used cone-beam computed tomographic (CT) images to retrospectively evaluate the influence of sex, skeletal class, facial type, and the presence of septa on the volume of the sphenoid sinus in 172 images from 85 men (mean (SD) age 28 (2) years) and 87 women (mean (SD) age 30 (1)...

Abstract: We have used cone-beam computed tomographic (CT) images to retrospectively evaluate the influence of sex, skeletal class, facial type, and the presence of septa on the volume of the sphenoid sinus in 172 images from 85 men (mean (SD) age 28 (2) years) and 87 women (mean (SD) age 30 (1) years). Skeletal class and facial type were calculated for each patient from multiplanar reconstructions using NemoCeph® software. Volumetric analysis of the sphenoid sinus was made with the help of the ITK-SNAP® 3.4.0 segmentation software, while the presence or absence of septa in the sphenoid sinus was evaluated with the Carestream 3D Imaging® software 3.4.3. We analysed the results using two-way ANOVA, Student’s independent sample t test, and Fisher’s exact test, as appropriate, and probabilities of <0.05 were accepted as significant. Sex (p = 0.0946), facial type (p = 0.790), and skeletal class (p = 0.120) had no significant influence on the volume of the sphenoid sinus, and nor did the volumes of the right and left sphenoid sinuses (p = 0.0923), or the presence of a septum within the sinus (p = 0.330) in its volume

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