Contribution of Morphology of Frontal Sinuses (Linear and Volumetric Measurements) to Gender Identification Based on Cone Beam Computed Tomography Images (CBCT): A Systematic Review.
Anastasia MitseaNikolaos ChristoloukasAliki RontogianniChristos AngelopoulosPublished in: Journal of personalized medicine (2023)
This review demonstrates that assessment of FS based on CBCT images could be beneficial for gender identification in forensic science. According to the obtained studies, frontal sinus volume (FSV) and frontal sinus height (FSH) are significant greater in males than in females, providing an additional complementary method. Larger sample size and common measurement protocols are needed to verify their usefulness.
Keyphrases
- cone beam computed tomography
- functional connectivity
- working memory
- deep learning
- convolutional neural network
- body mass index
- optical coherence tomography
- bioinformatics analysis
- mental health
- public health
- magnetic resonance imaging
- machine learning
- physical activity
- computed tomography
- case control
- neural network