Human identification: An investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population

Robles, Madeline; Nakhaeizadeh, Sherry; Rando, Carolyn; Morgan, Ruth M.

Abstract

Medical imaging is a valuable source for facilitating empirical research and provides an accessible gateway for developing novel forensic anthropological methods for analysis including 3D modelling. This is especially critical for the United Kingdom (UK), where methods developed from modern UK populations do not currently exist. This study introduces a new approach to assist in human identification using 3D models of the paranasal sinuses. The models were produced from a database of 500 modern CT scans provided by University College London Hospital. Linear measurements and elliptic Fourier coefficients taken from 1500 three-dimensional models across six ethnic groups assessed by one-way ANOVA and discriminant function analysis showed a range of classification rates with certain rates reaching 75–85.7% (p < 0.05) in correctly classifying age and sex according to size and shape. The findings offer insights into the potential for employing paranasal sinuses as an attribute for establishing the identification of unknown human remains in future crime reconstructions.

• Journal Article Type: Article
• Acceptance Date: Jan 24, 2024
• Online Publication Date: Feb 13, 2024
• Publication Date: Jul 1, 2024
• Deposit Date: Feb 14, 2024
• Publicly Available Date: Feb 14, 2024
• Journal: International Journal of Legal Medicine
• Print ISSN: 0937-9827
• Electronic ISSN: 1437-1596
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 138
• Issue: 4
• Pages: 1411–1424
• DOI: https://doi.org/10.1007/s00414-024-03179-2
• Keywords: Forensic anthropology, Forensic science, Computed tomography, Paranasal sinuses, 3D modelling
• Public URL: https://uwe-repository.worktribe.com/output/11714219