Applicability of Willems method for age estimation in Brazilian children: performance of multiple linear regression and artificial neural network

Letícia Tose Rocha, Mara Sampaio Ingold, Francine Kühl Panzarella, Bianca Marques Santiago, Rogério Nogueira de Oliveira, Ítalo de Macedo Bernardino, Irina Makeeva, José Luiz Cintra Junqueira, Scheila Mânica, Ademir Franco (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
14 Downloads (Pure)

Abstract

Background: Dental age estimation of children may be necessary in the clinical and forensic fields. In the former, it may contribute to the investigation of dental development and biological maturation. In the latter, dental age estimation may support the Court in several circumstances, such as adoption and unidentified bodies of deceased children. This study aimed to apply Willems method for dental age estimation of children from Southeastern Brazil. The second aim of the study was to test the performance of the method modeled with multiple linear regression (MLR) and artificial neural network (ANN). The sample consisted of 1000 panoramic radiographs of female (n = 500) and male (n = 500) Brazilian children. The individuals were evenly distributed through ten age intervals of 1 year from 6 to 15.99 years. Dental development was classified with the 7-teeth technique of Demirjian et al. (1973), followed by age calculation with Willems method (2001). The difference between chronological and estimated ages was quantified for the original Willems model and for the MLR and ANN models. Results: For females and males, the overall difference found with Willems original model was 0.27 and 0.28, respectively. With MLR and ANN, the overall differences were 0.54 and 0.35, and 0.26 and 0.24, respectively. The ANN was able to reduce half of the mean error of female age predictions up to 100%. The same phenomenon occurred in 1/3 of the males. Despite the improvements of the ANN model to specific age groups, the original Willems model performed similar or better in 40% of the studied age intervals. All the models showed the worse age predictions in the interval between 15 and 15.99 years (p < 0.001). Conclusions: Willems method remains optimal and applicable after 20 years since original development. The ANN model might be an option for future improvements (depending on sex and age interval).

Original languageEnglish
Article number9
Pages (from-to)1-9
Number of pages9
JournalEgyptian Journal of Forensic Sciences
Volume12
DOIs
Publication statusPublished - 1 Feb 2022

Keywords

  • Children
  • Dental age estimation
  • Forensic dentistry
  • Forensic odontology
  • Radiology

Fingerprint

Dive into the research topics of 'Applicability of Willems method for age estimation in Brazilian children: performance of multiple linear regression and artificial neural network'. Together they form a unique fingerprint.

Cite this