Evidence map›Paper›PMID 42687173›Full record

ArticleBMC oral health2026

Population-adapted Nolla method for dental age estimation in Northwestern Romanian children.

Ligia Ioana Moga, Raluca Iurcov, Abel Emanuel Moca, Andrei Csep, Dan Slăvescu, Raluca Dima, Ligia Luminița Vaida

Abstract readComparative Study
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Article in BMC oral health, 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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5 · Who and what money

Authors and funding

7 authors.

Ligia Ioana Moga *Doctoral School of Biomedical Sciences, University of Oradea, Oradea, Romania.
Raluca Iurcov *Department of Dental Medicine, University of Oradea, Oradea, Romania.
Abel Emanuel MocaDepartment of Dental Medicine, University of Oradea, Oradea, Romania. abelmoca@uoradea.ro.
Andrei CsepDepartment of Psycho-Neurosciences and Recovery, University of Oradea, Oradea, Romania. csep.andrei@gmail.com.
Dan SlăvescuDepartment of Dental Medicine, University of Oradea, Oradea, Romania.
Raluca DimaDepartment of Dental Medicine, University of Oradea, Oradea, Romania.
Ligia Luminița VaidaDepartment of Dental Medicine, University of Oradea, Oradea, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAccurate dental age (DA) estimation is essential in pediatric dentistry, orthodontic treatment planning, and forensic practice; however, the applicability of international reference standards varies across populations. This study aimed to evaluate the accuracy of a population-adapted Nolla method for dental age estimation in children from northwestern Romania and to compare its performance with the original approach. MATERIALS AND

methodsA retrospective analysis was performed on 860 digital panoramic radiographs of children aged 3-15 years. Dental development was assessed using the Nolla staging system, and a third-degree polynomial regression model was developed to estimate chronological age (CA) based on the total Nolla score. Model performance was evaluated using coefficient of determination (R²), five-fold cross-validation, and non-parametric statistical tests.

resultsThe original Nolla method underestimated CA by approximately 1.5 years. The population-specific model showed strong predictive performance (R² = 0.846; cross-validated R² = 0.84) and close agreement between estimated DA and CA (mean difference 0.000 ± 0.976 years; p = 0.983). Accuracy was stable across most age groups, although larger deviations were observed after 12 years. Girls showed slightly more advanced dental maturation than boys, but differences were clinically small.

conclusionsThe proposed population-calibrated equation eliminates systematic bias and provides a reliable tool for dental age estimation in children from northwestern Romania, although external validation is recommended.

Indexed as

Age Determination by TeethAdolescentChildChild, PreschoolFemaleHumansMaleRadiography, PanoramicReproducibility of ResultsRetrospective StudiesRomaniaDental age estimationDental maturationNolla methodRomanian children

Identifiers

PMID42687173
PMCPMC13536641

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