Ademir Franco

Prof. Dr. Ademir Franco

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2013 in Forensic Science International
Verified
Journal Article
Closed access
AFAdemir Franco
Ademir Franco
PTPatrick Thevissen
Patrick Thevissen
SFSteffen Fieuws
Steffen Fieuws
PSPaulo Henrique Couto Souza
Paulo Henrique Couto Souza
GWGuy Willems
Guy Willems

1 May 2013 in Journal of Forensic and Legal Medicine
Verified
Journal Article
Closed access
AFAdemir Franco
Ademir Franco
PTPatrick Thevissen
Patrick Thevissen
WCWalter Coudyzer
Walter Coudyzer
WDWim Develter
Wim Develter
WVWim Van de Voorde
Wim Van de Voorde
GWGuy Willems
Guy Willems

1 January 2013 in Journal of Environmental Management
Verified
Journal Article
Closed access
Thiago NogueiraThiago Nogueira
Thiago Nogueira
AFAdemir Franco
Ademir Franco
ZHZhenli He
Zhenli He
VBVivian Santoro Braga
Vivian Santoro Braga
LFLucia Pittol Firme
Lucia Pittol Firme
CACassio Hamilton Abreu-Junior
Cassio Hamilton Abreu-Junior

1 February 2021 in Dentomaxillofacial Radiology
Verified
Journal Article
Closed access
AFAdemir Franco
Ademir Franco
MOMurilo Navarro de Oliveira
Murilo Navarro de Oliveira
MVMaria Tereza Campos Vidigal
Maria Tereza Campos Vidigal
CBCauane Blumenberg
Cauane Blumenberg
APAdriele Alves Pinheiro
Adriele Alves Pinheiro
LPLuiz Renato Paranhos
Luiz Renato Paranhos
Objectives: To review the scientific literature of studies on dental age estimation methods applied to Brazilian children. Methods: A systematic literature review was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and registered in PROSPERO (CRD42020136170). Six scientific databases were used as primary search sources (PubMed, Scopus, LILACS, SciELO, Embase and Web of Science) and two databases (Open Grey and Open Thesis) were searched to partially select the “grey literature.” Only cross-sectional studies were included. The risk of bias was assessed by means of Joanna Briggs Institute Critical Appraisal Tools for Systematic Reviews. The standardized mean difference (SMD) between the estimated dental and chronological ages was meta-analysed via random effects model. Results: The search resulted in 2,527 studies, from which 13 met the eligibility criteria. Out of the eligible studies, 76.92% had low risk of bias and high methodological quality. Ten studies provided proper information to be included in the meta-analysis.The methods and their SMD between estimated and chronological ages were: Willems’=0.05, Lilequist and Lundberg’s = −0.11, Nolla’s = 0.22, Mornstad’s = 0.27, Cameriere’s = −0.31, Demirjian’s = 0.74 and Haavikko’s = −0.87. Conclusion: Although originally trained in populations worldwide, most of the international methods for radiographical dental age estimation had optimal performance in Brazilian children.

15 November 2014 in International journal of legal medicine
Verified
Journal Article
Closed access
PDF file
AFAdemir Franco
Ademir Franco
GWGuy Willems
Guy Willems
PSPaulo Henrique Couto Souza
Paulo Henrique Couto Souza
GBGeertruida E. Bekkering
Geertruida E. Bekkering
PTPatrick Thevissen
Patrick Thevissen

7 January 2022 in Dentomaxillofacial Radiology
Verified
Journal Article
Closed access
RBRizky Merdietio Boedi
Rizky Merdietio Boedi
SSSimon Shepherd
Simon Shepherd
SMScheila Manica
Scheila Manica
AFAdemir Franco
Ademir Franco
Objectives: This study aimed to investigate the reproducibility of dental age estimation methods in cone beam computed tomography (CBCT) and the correlation between dental (DA) and chronological (CA) ages. Methods: The scientific literature was searched in six databases (PubMed, Scopus, LILACS, Web of Science, SciELO, and OATD). Only observational studies were selected. Within each study, the outcomes of interest were (I) the quantified reproducibility of the method (κ statistics and Intraclass correlation coefficient); and (II) the correlation (r) between the dental and chronological ages. A random-effect three-level meta-analysis was conducted alongside moderator analysis based on methods, arch (maxillary/mandibular), population, and number of roots. Results: From 671 studies, 39 fulfilled the inclusion criteria, with one study reporting two different methods. The methods used in the studies were divided into metric (n = 17), volumetric (n = 20), staging (n = 2), and atlas (n = 1). All studies reported high examiner reproducibility. Group 1 (metric and volumetric) provided a high inverse weighted r ([ ] = −0.71, CI [-0.79,–0.61]), and Group 2 (staging) provided a medium-weighted r ([ ] = 0.49, CI [0.44, 0.53]). Moderator analysis on Group one did not show statistically significant differences between methods, tooth position, arch, and number of roots. An exception was detected in the analysis based on population (Southeast Asia, [ ] = −0.89, CI [-0.94,–0.81]). Conclusion: There is high evidence that CBCT methods are reproducible and reliable in dental age estimation. Quantitative metric and volumetric analysis demonstrated better performance in predicting chronological age than staging. Future studies exploring population-specific variability for age estimation with metric and volumetric CBCT analysis may prove beneficial.