The Applicability of the Demirjian and Willems Standards to Age Estimation of 6–9-Year-Old Portuguese Children

This study evaluates the applicability of Demirjian and Willems’ methods for age estimation in Portuguese children aged 6–9 years based on orthopantomographs (OPGs). The main objective was to compare the precision of both methods in estimating chronological age (CA). This study analyzed 160 OPGs, equally distributed by sex, and the dental age (DA) was calculated twice, using both methodologies. The findings reveal that Demirjian’s method consistently overestimated the chronological age by an average of 1.47 years for males and 1.45 years for females. Similarly, the Willems method also overestimated the age but to a lesser extent, with mean differences of 1.18 years for males and 0.91 years for females. Statistical analysis confirmed that both methods significantly overestimate age, with the most considerable discrepancies observed in 8-year-old individuals. Despite the Willems method providing slightly more accurate results, neither method was reliable, particularly for male subjects. This study highlights the need for further refinement of these methods, considering their tendency to overestimate age, especially in specific age groups. This research improves age estimation techniques in forensic and clinical settings, especially within the Portuguese pediatric population.

Authors

Institutions

Publication Details

Journal
Humans
Published
2025-02-28
DOI
https://doi.org/10.3390/humans5010006
Citations
1
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
8.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Applicability of the Demirjian and Willems Standards to Age Estimation of 6–9-Year-Old Portuguese Children

Inês Morais Caldas, Ivo José Curcino Vieira, Maria Lurdes Pereira
1 citations
Humans
Forensic Anthropology and Bioarchaeology Studies
8.27
article

The Applicability of the Demirjian and Willems Standards to Age Estimation of 6–9-Year-Old Portuguese Children

Inês Morais Caldas, Ivo José Curcino Vieira, Maria Lurdes Pereira
article en
1 citations

Abstract

This study evaluates the applicability of Demirjian and Willems’ methods for age estimation in Portuguese children aged 6–9 years based on orthopantomographs (OPGs). The main objective was to compare the precision of both methods in estimating chronological age (CA). This study analyzed 160 OPGs, equally distributed by sex, and the dental age (DA) was calculated twice, using both methodologies. The findings reveal that Demirjian’s method consistently overestimated the chronological age by an average of 1.47 years for males and 1.45 years for females. Similarly, the Willems method also overestimated the age but to a lesser extent, with mean differences of 1.18 years for males and 0.91 years for females. Statistical analysis confirmed that both methods significantly overestimate age, with the most considerable discrepancies observed in 8-year-old individuals. Despite the Willems method providing slightly more accurate results, neither method was reliable, particularly for male subjects. This study highlights the need for further refinement of these methods, considering their tendency to overestimate age, especially in specific age groups. This research improves age estimation techniques in forensic and clinical settings, especially within the Portuguese pediatric population.

HumansVol. 5(1)
Universidade do Porto (PT), Cooperativa de Ensino Superior Politécnico e Universitário (PT)
Openalex Percentile: Top 5%
Forensic Anthropology and Bioarchaeology Studies
8.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.