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dc.contributor.authorde Llano-Pérula, Maria Cadenas
dc.contributor.authorKihara, Eunice
dc.contributor.authorThevissen, Patrick
dc.contributor.authorNyamunga, Donna
dc.contributor.authorFieuws, Steffen
dc.contributor.authorKanini, Mary
dc.contributor.authorWillems, Guy
dc.date.accessioned2021-08-27T08:51:17Z
dc.date.available2021-08-27T08:51:17Z
dc.date.issued2020
dc.identifier.citationCadenas de Llano-Pérula M, Kihara E, Thevissen P, Nyamunga D, Fieuws S, Kanini M, Willems G. Validating dental age estimation in Kenyan black children and adolescents using the Willems method. Med Sci Law. 2021 Jul;61(3):180-185. doi: 10.1177/0025802420977379. Epub 2020 Dec 3. PMID: 33270504.en_US
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/33270504/
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/155362
dc.description.abstractPurpose: This study aimed to validate the Willems Belgian Caucasian (Willems BC) age estimation model in a Kenyan sample, to develop and validate a Kenyan-specific (Willems KB) age estimation model and to compare the age prediction performances of both models. Methods: Panoramic radiographs of 1038 (523 female, 515 male) Kenyan children without missing permanent teeth and without all permanent teeth fully developed (except third molars) were retrospectively selected. Tooth development of the seven lower-left permanent teeth was staged according to Demirjian et al. The Willems BC model, performed on a Belgian Caucasian sample and a constructed Kenyan-specific model (Willems KB) were validated on the Kenyan sample. Their age prediction performances were quantified and compared using the mean error (ME), mean absolute error (MAE) and root-mean-square error (RMSE). Results: The ME with Willems BC method equalled zero. Hence, there was no systematic under- or overestimation of the age. For males and females separately, the ME with Willems BC was significantly different from zero, but negligible in magnitude (-0.04 and 0.04, respectively). Willems KB was found not to outperform Willems BC, since the MAE and RMSE were comparable (0.98 vs 0.97 and 1.31 vs 1.29, respectively). Although Willems BC resulted in a higher percentage of subjects with predicted age within a one-year difference of the true age (63.3% vs 60.4%, p=0.018), this cannot be considered as clinically relevant. Conclusion: There is no reason to use a country-specific (Willems KB) model in children from Kenya instead of the original Willems (BC) model.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCaucasian sample; Forensic dentistry; Kenyan black sample; Willems method; dental age estimation; forensic odontology.en_US
dc.titleValidating dental age estimation in Kenyan black children and adolescents using the Willems methoden_US
dc.typeArticleen_US


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