GENDER DETERMINATION BY LINEAR MEASUREMENTS OF THE FRONTAL SINUS USING CBCT SCANS
Keywords:
CBCT, FRONTAL SINUS, GENDER DETERMINATION, LINIAR MEASUREMENTSAbstract
GENDER DETERMINATION BY LINEAR MEASUREMENTS OF THE FRONTAL SI-NUS USING CBCT SCANS (Abstract): This research aimed at identifying gender by per-forming linear measurements of the frontal sinus (FS) on images obtained from CBCT scans. Material and methods: We analyzed 30 CBCT scans from adult patients of Romanian origin aged between 18-65 years old using the Romexis 4.4.0. software (Planmeca, Helsinki, Finland). Several linear measurements were made: maximum height of the right frontal si-nus, maximum height of the left frontal sinus, maximum length of the right frontal sinus, maximum length of the left frontal sinus, total length of the frontal sinus, maximum anterior-posterior diameter of the right frontal sinus, maximum anterior-posterior diameter of the left frontal sinus. All data was assessed on 0.200mm slice thickness images in different anatomi-cal planes. Results: Based on both measurements of the maximum height of the right FS, 60% of females and 60% of males were correctly identified while the same measurements on the left FS achieved gender estimation accuracy up to 53.3% in females and 40% in males. The assessment of the maximum length of the right FS lead to a correct prediction of up to 53.3% in females and 53.3% in males, while for the maximum length of the left FS, female individuals were properly identified in 53.3% of cases and males in 46.7% of cases. Measur-ing the total length of the FS allowed us to identify up to 60% of females and 60% of males. Both measurements of the maximum anterior-posterior diameter of the left FS estimated cor-rectly 66.7% females, 73.3% males. Conclusions: The best gender predictor variable of the FS is the maximum anterior-posterior diameter, with a correct estimation rate up to 80% in females and 73.3% in males for the right FS. Due to our small and homogenous study group, we recommend further research on a larger and ethnically diverse population.
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