A novel landmark-based morphometric approach for sequencing typical thoracic vertebrae

The methods for reassociating and sequencing the thoracic vertebrae are based mainly on the morphological characteristics of the bones and the expertise of the forensic anthropologist. However, the thoracic vertebrae T2-T9 show no morphological differences, and therefore, it is challenging to reassociate and sequence them, especially in cases of commingling or extensive trauma. The aim of this study was to develop a new method based on the integration of 3D geometric morphometric analysis from 3D models to provide accurate results regarding the sequencing of the thoracic vertebrae. The sample consisted of 98 individuals from three different skeletal assemblages from various contexts of Greece and was scanned with a handheld 3D scanner. A total of 28 landmarks were placed on the 3D models of the vertebrae. The shape of each vertebra was compared to a reference sample. The identification rates showed that T2 had the highest identification rates and T6 the lowest. Each vertebra was matched to its anatomical counterpart within the first three possible selections of the reference skeleton, in a percentage greater than 67% and in most cases, more than 81%. On the contrary, T6 had a rate lower than 50%. It is proposed that the presented method be examined in other samples to see its application as a tool for sequencing the typical thoracic vertebrae.

Authors

Institutions

Publication Details

Journal
Journal of Forensic and Legal Medicine
Published
2026-01-08
DOI
https://doi.org/10.1016/j.jflm.2026.103075
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel landmark-based morphometric approach for sequencing typical thoracic vertebrae

Ioanna Anastopoulou, Elena F. Kranioti, Christina Papageorgopoulou, Myrsini Voulgari et al.
Journal of Forensic and Legal Medicine
Forensic Anthropology and Bioarchaeology Studies
article

A novel landmark-based morphometric approach for sequencing typical thoracic vertebrae

Ioanna Anastopoulou, Elena F. Kranioti, Christina Papageorgopoulou, Myrsini Voulgari, Konstantinos Moraitis
article en

Abstract

The methods for reassociating and sequencing the thoracic vertebrae are based mainly on the morphological characteristics of the bones and the expertise of the forensic anthropologist. However, the thoracic vertebrae T2-T9 show no morphological differences, and therefore, it is challenging to reassociate and sequence them, especially in cases of commingling or extensive trauma. The aim of this study was to develop a new method based on the integration of 3D geometric morphometric analysis from 3D models to provide accurate results regarding the sequencing of the thoracic vertebrae. The sample consisted of 98 individuals from three different skeletal assemblages from various contexts of Greece and was scanned with a handheld 3D scanner. A total of 28 landmarks were placed on the 3D models of the vertebrae. The shape of each vertebra was compared to a reference sample. The identification rates showed that T2 had the highest identification rates and T6 the lowest. Each vertebra was matched to its anatomical counterpart within the first three possible selections of the reference skeleton, in a percentage greater than 67% and in most cases, more than 81%. On the contrary, T6 had a rate lower than 50%. It is proposed that the presented method be examined in other samples to see its application as a tool for sequencing the typical thoracic vertebrae.

Journal of Forensic and Legal MedicineVol. 118
Democritus University of Thrace (GR), National and Kapodistrian University of Athens (GR), University Hospital of Heraklion (GR), Kean University (US)
Openalex Percentile: Top 93%
Forensic Anthropology and Bioarchaeology Studies
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.

A novel landmark-based morphometric approach for sequencing typical thoracic vertebrae — Ioanna Anastopoulou, Elena F. Kranioti, et al. · Journal of Forensic and Legal Medicine (2026) | TGRS Research Map | TGRS