Magnetic Resonance Imaging Of Calvarial Diploe Thickness for Sex And Age Estimation of A Sample Of Egyptian Population

Background: Magnetic resonance imaging (MRI) is a mainstay radiological technique that becoming more desirable in forensic identification for its non-invasive, non-ionizing and highly precise nature. Objectives: This study aimed to investigate whether sex age could be estimated based on Calvarial Diploe Thickness (CDT) using MRI sample of the Egyptian population. Methods: The was conducted cranial images 306 adult Egyptians. For estimation, seven CDT measurements were assessed 256 known age. A binary logistic regression equation developed prediction. Multivariate linear analyses performed generate prediction equations; (1), gender included, while (2) irrespective gender. All equations tested 50 images. Results: results revealed significant logistical model r2 0.442 classification accuracy 71.6%. Receiver Operating Characteristic (ROC) curve showed an area under (AUC) 0.816, sensitivity 76.6 %, specificity 70.5%. Testing identifying males (78.2 %), females (70.4 overall (74 %). Regarding Pearson correlation no statistically between all measurements. Age multivariate models (sex-stratified/sex-pooled) insignificant, with very low adjusted high standard error estimate. Mean Absolute deviation (MAD) chronological predicted 9.09254 years Percentage Error (MAPE) 28.458% (1) MAD 8.94469 years; MAPE 27.9829% (2). Conclusion: We concluded studied included as new candidate MRI-based estimation Egyptians are unfavorable estimating Our provide preliminary assessing approach Applying such parameters greater sector both recommended.