@article{Marvi Shaikh, Syeda Sadia Hassan, Sana Shah, Neelam Memon, Alvina Ali Shaikh, Hassan Shahid_2022, title={Third Molar Development Reliability for Radiographic Age Estimation (Demirjian’s Method)}, volume={16}, url={https://pjmhsonline.com/index.php/pjmhs/article/view/1702}, DOI={10.53350/pjmhs221651195}, abstractNote={<p><strong>Background</strong>: The determination of age after a person has died is a potential stage in the postmortem profiling process that leads to definitive identification. Demirjian’s method, designed for use with children, establishes maturity scores as a function of age using eight developmental stages and polynomial functions to estimate age as a function of the score.</p> <p><strong>Aim:</strong> This study’s purpose was to examine the accuracy of age estimate by employing Demirjian’s eight teeth approach following French maturity scores &amp; an Indian-specific formula generated from third molar growth phases by use of orthopantomograms.</p> <p><strong>Materials and Methods:</strong> 30 participants, each with a known chronological age and gender, had dental panoramic tomograms taken, which were then assessed using Demirjian’s standards. The Indian method and the Demirjian formula were used to calculate ages. The P values obtained from the statistical analysis, which included the Chi-square test and the ANOVA test, were statistically significant.</p> <p><strong>Results:</strong> Both Indian and Demirjian’s formulations had an average underestimate of age. Since the Indian method had a reduced mean absolute error, it may be used to estimate ages Additionally, females complete dental development sooner than boys do since they were faster to reach dental maturity.</p> <p><strong>Conclusion:</strong> If population-specific formulae are developed using regression analysis and ethnic and environmental variance is taken into account, more accuracy may be attained.</p>}, number={05}, journal={Pakistan Journal of Medical & Health Sciences}, author={Marvi Shaikh, Syeda Sadia Hassan, Sana Shah, Neelam Memon, Alvina Ali Shaikh, Hassan Shahid}, year={2022}, month={Jul.}, pages={1195} }