Dental age estimation by different methods in patients with amelogenesis imperfecta

Area of Science:

• Dentistry
• Pediatric Dentistry
• Forensic Odontology

Background:

• Amelogenesis imperfecta (AI) is a group of inherited disorders affecting tooth enamel formation.
• Dental anomalies are often observed alongside enamel defects in AI patients, potentially influencing tooth development.
• The accuracy of dental age estimation methods in children with AI is not well-established.

Purpose of the Study:

• To evaluate dental age determination in children with Amelogenesis imperfecta using three distinct methods.
• To identify the most accurate method for estimating dental age relative to chronological age in AI patients.
• To establish a reliable basis for postmortem identification in cases involving AI.

Main Methods:

• Retrospective review of dental records of 58 AI patients (ages 6-15) and 116 age/gender-matched healthy controls.
• Dental age estimation using Nolla's, Demirjian's, and Haavikko's methods.
• Comparison of chronological age with dental age estimates across groups and genders, assessing method accuracy.

Main Results:

• No statistically significant differences in tooth development were found between AI patients and the control group, or between genders.
• Demirjian's method tended to overestimate dental age, while Nolla's and Haavikko's methods underestimated it.
• Haavikko's and Nolla's methods demonstrated higher accuracy in dental age estimation compared to Demirjian's method.

Conclusions:

• Amelogenesis imperfecta does not significantly affect overall dental development.
• Haavikko's and Nolla's methods are more reliable for dental age assessment in individuals with AI.
• Utilizing Haavikko's method can minimize the margin of error in dental development evaluations for AI patients, aiding in forensic identification.