Evidence map›Paper›PMID 42002624›Full record

ArticleInternational journal of legal medicine2026

Optimization of panoramic radiographic dose for third molar dental age assessment.

Carolina de Paula Rossetto Lisboa, Ademir Franco, Anne Caroline Costa Oenning, João Pedro Rangel-Coelho, Monikelly do Carmo Nascimento, José Luiz Cintra Junqueira, Mariana Quirino Silveira Soares

Abstract read
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Article in International journal of legal medicine, 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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1 · What the graph read from it

What it found

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Carolina de Paula Rossetto LisboaDivision of Forensic Odontology, São Leopoldo Mandic, Campinas, SP, Brazil.
Ademir FrancoDivision of Forensic Odontology, São Leopoldo Mandic, Campinas, SP, Brazil.
Anne Caroline Costa OenningDepartment of Radiology, University of Campinas (UNICAMP), Piracicaba, SP, Brazil.
João Pedro Rangel-CoelhoDivision of Oral Radiology, São Leopoldo Mandic, Campinas, SP, Brazil.
Monikelly do Carmo NascimentoDivision of Oral Radiology, São Leopoldo Mandic, Campinas, SP, Brazil.ORCID http://orcid.org/0000-0001-6765-0428
José Luiz Cintra JunqueiraDivision of Oral Radiology, São Leopoldo Mandic, Campinas, SP, Brazil.
Mariana Quirino Silveira SoaresDivision of Oral Radiology, São Leopoldo Mandic, Campinas, SP, Brazil. mariana.soares@slmandic.edu.br.ORCID http://orcid.org/0000-0002-9387-3729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the influence of reduced exposure parameters on the reproducibility of two radiographic dental age assessment methods in panoramic radiographs: the staging system (GHK) proposed by Gleiser and Hunt (1955) modified by Köhler et al. (1994) and the metric method by Cameriere et al. (2008) (I3M). Five phantoms were prepared using dry human skulls and subjected to three different radiographic image acquisition protocols with variations in peak kilovoltage (kVp) and tube current (mA), resulting in different absorbed dose levels: Protocol 1 (70 kVp, 12.5 mA), Protocol 2 (66 kVp, 8 mA), and Protocol 3 (66 kVp, 3.2 mA). A total of 57 cropped digital images of third molars were obtained and evaluated by 10 trained examiners at two different times. Intra-observer agreement was assessed using Fleiss' weighted Kappa coefficient for the GHK method and the intraclass correlation coefficient (ICC) for I3M. The results showed substantial to good agreement for both methods, with high mean kappa and ICC values and no significant statistical differences among the protocols. In the dichotomous classification of legal adulthood (< 18 or ≥ 18 years) using the I3M, the lowest-dose protocol performed equivalently to the standard protocol. Considering the current study settings, reducing exposure parameters did not compromise the reproducibility of radiographic third molar analysis for dental age assessment methods. This outcome supports the use of low-dose image acquisition protocols as a potentially viable and (bio)ethical alternatives in forensic contexts.

Indexed as

Age Determination by TeethMolar, ThirdRadiation DosageRadiography, PanoramicHumansPhantoms, ImagingRadiography, Dental, DigitalReproducibility of ResultsAge estimation by teethForensic dentistryPanoramic radiographyRadiology

Identifiers

PMID42002624
PMCPMC13275526

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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.