Advancing estimation of chronological age by utilizing available evidence based on two radiographical methods

Area of Science:

• Forensic Anthropology
• Radiology
• Biometrics

Background:

• Estimating chronological age from skeletal remains is crucial in forensic and anthropological studies.
• Existing age estimation methods often rely on specific data formats, limiting their applicability and comparability across studies.
• Hand and third molar X-rays are valuable indicators of biological age.

Purpose of the Study:

• To develop a unified framework for chronological age estimation using diverse data formats from hand and third molar X-rays.
• To overcome the limitations of data heterogeneity in existing age estimation models.
• To improve the accuracy and reliability of age estimation methods.

Main Methods:

• Utilized transition analysis to model the relationship between age indicators and chronological age.
• Employed likelihood ratio weight of evidence to quantify the strength of evidence for age estimation.
• Applied posterior distribution modeling to estimate chronological age based on observed indicators.

Main Results:

• Successfully integrated heterogeneous data formats from multiple studies into a common age estimation model.
• Demonstrated the effectiveness of the proposed framework in improving age estimation accuracy compared to previous methods.
• Provided a robust method for age estimation applicable to a wider range of data sources.

Conclusions:

• The developed framework offers a significant advancement in chronological age estimation by accommodating diverse data types.
• This approach enhances the utility of radiographic age indicators, particularly from hand and third molar assessments.
• The study provides a more comprehensive and accurate method for age determination in forensic and clinical contexts.