Evidence map›Paper›PMID 42287571›Full record

ArticleForensic science, medicine, and pathology2026

Development of a new semi-quantitative method of palatal rugae analysis to personal identification: a pilot study and protocol proposal.

Federica Mele, Antonio De Donno, Nicola Dilecce, Francesco Introna, Valeria Santoro

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Article in Forensic science, medicine, and pathology, 2026. 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

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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

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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

5 authors.

Federica MeleInstitute of Legal Medicine, Department of Interdisciplinary Medicine, University of Bari, Piazza Giulio Cesare 11, Bari, Italy. fedemele1987@gmail.com.ORCID http://orcid.org/0000-0003-4289-8907
Antonio De DonnoInstitute of Legal Medicine, Department of Interdisciplinary Medicine, University of Bari, Piazza Giulio Cesare 11, Bari, Italy.
Nicola DilecceInstitute of Legal Medicine, Department of Interdisciplinary Medicine, University of Bari, Piazza Giulio Cesare 11, Bari, Italy.
Francesco IntronaInstitute of Legal Medicine, Department of Interdisciplinary Medicine, University of Bari, Piazza Giulio Cesare 11, Bari, Italy.
Valeria SantoroInstitute of Legal Medicine, Department of Interdisciplinary Medicine, University of Bari, Piazza Giulio Cesare 11, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personal identification techniques rely on comparing ante-mortem and post-mortem evidence deemed unique to an individual. The Interpol standard of identification establishes fingerprints, DNA, and dental records as primary identification methods. Beyond dentition, odontological analysis can utilize palatal rugae, which are unique anatomical features with high potential for personal identification. However, most forensic approaches to palatal rugae rely on qualitative assessment; a quantitative evaluation of their uniqueness has been largely overlooked. This pilot study preliminarily explores the reliability of a new semi-quantitative method for palatal rugae analysis in forensic identification. Nineteen subjects were recruited, and a dental cast along with a palatal photograph were obtained for each participant. Dental cast images and palatal photographs simulated antemortem and postmortem data, respectively. Six distinct landmarks were identified in both record types, and homologous and heterologous comparisons were performed using image-processing software. Statistically significant differences were evaluated using the Mann-Whitney U test. The results demonstrated statistically significant differences between homologous and heterologous comparisons (p < 0.05) across most software-acquired parameters. These preliminary findings suggest that this new semi-quantitative method has the potential to effectively distinguish matches from mismatches, highlighting its potential utility in personal identification contexts.

Indexed as

Forensic odontologyPalatal rugaePersonal identificationRugoscopy

Identifiers

PMID42287571

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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.