Sternum as an indicator for sex and age estimation using multidetector Computed Tomography in an Egyptian population

2021 ◽  
pp. 200457
Author(s):  
Maha Ismail Mohammed Ali ◽  
Walid Mosallam ◽  
Enas MA Mostafa ◽  
Sanaa M Aly ◽  
Nahed M Ali
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Fatma M. Elgazzar ◽  
Mohamed Omar Elboraey ◽  
Ghada N. El-Sarnagawy

Abstract Background Globally, the need for an accurate and valid method for age estimation in adults still exists. The aging process is associated with secondary dentine deposition that reduces the volume of teeth pulp. Therefore, dental age could be recognized from the volume of pulp cavity. The aim of this study was to assess the accuracy and validity of pulp chamber/crown volume ratio of maxillary and mandibular canines in estimating age using cone beam computed tomography (CBCT) images in a sample of the Egyptian population. Results There were significant strong negative correlations between age and each of the maxillary pulp chamber volume (PCV), mandibular PCV, maxillary pulp chamber/crown volume (PCV/CV) ratio, and mandibular PCV/CV ratio (p < 0.001). Furthermore, no significant differences were detected between both sexes regarding the mean maxillary and mandibular PCV and PCV/CV ratios (p > 0.05). The best fit regression model for age prediction was as follows: age (years) = 70.21 − 784.0x maxillary PCV/CV ratio − 1.66x maxillary PCV. The proposed model showed good power of prediction (R2 adjusted = 0.951). Additionally, the model was validated on an independent sample of 100 CBCT images with a root mean squared error (RMSE) of 2.86 years. Conclusion The obtained valid regression formula in this study can serve as a reliable tool for age estimation in Egyptians. This formula should be further validated on a larger sample size of the Egyptian population that considers more steady age distribution.


2014 ◽  
Vol 128 (4) ◽  
pp. 667-673 ◽  
Author(s):  
Fumiko Chiba ◽  
Yohsuke Makino ◽  
Ayumi Motomura ◽  
Go Inokuchi ◽  
Suguru Torimitsu ◽  
...  

2019 ◽  
Vol 171 (3) ◽  
pp. 550-558
Author(s):  
Fei Fan ◽  
Meng Tu ◽  
Rui Li ◽  
Xinhua Dai ◽  
Kui Zhang ◽  
...  

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