Testing Reliability of the Computational Age-At-Death Estimation Methods between Five Observers Using Three-Dimensional Image Data of the Pubic Symphysis

• NCJ Number: 253897
• Author(s): Jieum Kim; Bridget F.B. Algee-Hewitt; Dete K. Stoyanova; Cristina Figueroa-Soto; Dennis E. Slice
• Date Published: 2019
• Length: 12 pages
• Grant Number(s): 2015-DN-BX-K010
• Agencies: NIJ-Sponsored
• Publication Type: Test/Measurement; Research (Applied/Empirical); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Award: MODELING SURFACE MORPHOLOGY OF THE PUBIC SYMPHYSIS: Quantitative Methods and Computational Tools for the Objective Estimation of Age-at-Death for Modern Populations

Annotation

In an effort to standardize data collection and analysis in age estimation at time of death, a series of computational methods utilizing high-dimensional image data of the age indicator have recently been proposed as an alternative to subjective visual, trait-to-phase matching techniques; the current study systematically quantified the reproducibility of such methods by investigating the intrascan variability and within- and between -observer reliability in initial scan data, capturing and editing using 3D laser scans of the Suchey-Brooks pubic symphysis casts and five shape-based computational methods.

Abstract

The results of this study show that (1) five observers with various training background and experience levels edited the scans consistently for all three trials and the derived shape measures and age estimates were in excellent agreement among observers, and (2) the computational methods were robust to a measured degree of scan trimming error. This study supports the application of computational methods to 3D laser scanned images for reliable age at death estimation, with reduced subjectivity. (publisher abstract modified)