Evidence map›Paper›PMID 41452804›Full record

ArticleThe Journal of forensic odonto-stomatology2025

Curvature-based 3D dental comparison to identify trauma-induced surface changes in human teeth: 
a forensic comparison study

Anika Kofod Petersen, Rubens Spin-Neto, Palle Villesen, Line Staun Larsen

Abstract read
In one paragraph

Article in The Journal of forensic odonto-stomatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anika Kofod PetersenDepartment of Forensic Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-5913-8723
Rubens Spin-NetoDepartment of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-9562-0610
Palle VillesenBioinformatics Research Centre, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-7589-8781
Line Staun LarsenDepartment of Forensic Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-4155-5884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the performance of a curvature-based 3D dental comparison method - the keypoint pipeline - for forensic identification, assessing the effects of standardised blunt force trauma on human dentitions. The dental arches in ten human jaw specimens (five maxillae, five mandibulae) were scanned using two intraoral 3D scanners before and after exposure to controlled blunt trauma delivered via a drop tower mechanism applying approximately 3154 Newton of force. Trauma outcomes were documented through high-speed video, digital photography, and 3D scanning. Post-trauma scans were processed using the keypoint pipeline, which quantifies dental surface similarity by comparing curvature signatures. An all-vs-all comparison was conducted between pre- and post-trauma scans, including cross-scanner evaluations. Despite consistent trauma application, fracture patterns varied by jaw type, with mandibular fractures typically occurring in the frontal plane in the side segments and maxillary fractures in the sagittal plane in the midline suture. The keypoint pipeline successfully scored 92.5% of the true matches to be the best matching comparison, even in the presence of significant structural damage and tooth displacement. Matching pairs yielded lower dissimilarity scores (mean: 0.55) compared to mismatches (mean: 0.78), indicating that curvature features were sufficiently preserved post-trauma. These findings support the integration of curvature-based 3D dental surface analysis into forensic odontology workflows, particularly in disaster victim identification scenarios involving blunt force trauma.

Indexed as

Forensic DentistryMalpracticeMandibular FracturesMolar, ThirdTooth ExtractionHumansImaging, Three-DimensionalPhotography, DentalWounds, Nonpenetrating3D ScanningBiometricsBlunt Force TraumaDisaster Victim IdentificationForensic OdontologyIdentification

Identifiers

PMID41452804
PMCPMC12906363

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.