Dental age estimation in Somali children and sub-adults combining permanent teeth and third molar development

Metsäniitty, Mari; Waltimo‐Sirén, Janna; Ranta, Helena; Fieuws, Steffen; Thevissen, Patrick

doi:10.1007/s00414-019-02053-w

Cited by 20 publications

(9 citation statements)

References 56 publications

(74 reference statements)

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“…Therefore the accuracy of dental age estimation in age group 12–15 may be improved due to the combination of developmental information of PT and TM. These results of this study are similar to the study in United Arab Emirati [ 20 ], Brazilian [ 21 ], Japanese [ 22 ] and Somali children [ 24 ]. There was an increase of RMSE in age group 13 of males for all three models because of sampling error.…”

Section: Discussionsupporting

confidence: 91%

“…Moreover, to improve the accuracy of dental age estimation in children, some scholars have proposed a combination of developmental information on PT and third molar (TM) to estimate dental age [20][21][22][23][24]. The performance of the combined model has been analyzed in United Arab Emirati [20], Brazilian [21], Japanese [22], Malaysian [23] and Somali children [24]. But there are no reports about the performance of the combined model in children in South China.…”

Section: Introductionmentioning

confidence: 99%

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Application of Cameriere’s method for dental age estimation in children in South China

Yang

Wen

Xiao

et al. 2021

Forensic Sciences Research

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The aim of this study was to evaluate the applicability of Cameriere’s European formula for age estimation in children in South China and to adapt the formula to establish a more suitable formula for these children. Moreover, the performance of dental age estimation based on Cameriere’s method combining the developmental information of permanent teeth (PT) and third molar (TM) was also analysed. Orthopantomographs of 720 healthy children in Group A, and orthopantomographs of 320 children and 280 subadults in Group B were assessed. The samples of Group A were divided into training dataset 1 and test dataset 1, and the samples of Group B were also divided into training dataset 2 and test dataset 2. A South China-specific formula was established based on the training dataset 1, and the comparison of accuracy between the Cameriere’s European formula and the South China-specific formula was conducted with the test dataset 1. Additionally, a PT regression model, a TM regression model, and a combined regression model (PT + TM) were established based on the training dataset 2, and the performance of these three models were validated on the test dataset 2. The Cameriere’s European formula underestimated chronological age with a mean difference (ME) of −0.47 ± 1.11 years in males and −0.69 ± 1.19 years in females. However, the South China-specific formula underestimated chronological age, with a mean difference (ME) of −0.02 ± 0.71 years in males and −0.14 ± 0.73 years in females. Compared with PT model and TM model, the PT and TM combined model obtained the smallest root mean square error (RMSE) of 1.29 years in males and 0.93 years in females. In conclusion, the South China-specific formula was more suitable for assessing the dental age of children in South China, and the PT and TM combined model can improve the accuracy of dental age estimation in children. Key points Orthopantomographs of 720 healthy children in Group A, and orthopantomographs of 320 children and 280 subadults in Group B were assessed. A South China-specific formula was established based on the training dataset 1, and the comparison of accuracy between the Cameriere’s European formula and the South China-specific formula was conducted with the test dataset 1. A PT regression model, a TM regression model, and a combined regression model (PT + TM) were established based on the training dataset 2, and the performance of these three models were validated on the test dataset 2. The South China-specific formula was more suitable for assessing the dental age of children in South China, and the PT and TM combined model can improve the accuracy of dental age estimation in children.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Application of Cameriere’s method for dental age estimation in children in South China

Yang

Wen

Xiao

et al. 2021

Forensic Sciences Research

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“…In total, 17 of the included studies focus on oral health [ 61 , 65 , 172 , 173 , 174 , 175 , 176 , 177 , 178 , 179 , 180 , 181 , 182 , 183 , 184 , 185 ], with many examining the oral health of AMC in Israel. While some report an issue with missing teeth [ 172 , 173 ], others note low levels of caries, especially if the AMC has recently arrived [ 65 , 174 , 175 , 176 , 177 ].…”

Section: Resultsmentioning

confidence: 99%

“…Few or no dental visits are common among AMC in the United States [ 184 ] and Canada [ 179 ]. Dental abnormalities, poor oral hygiene, and prevalence of caries are also common among AMC [ 61 , 181 ] Barriers to the prevention of early childhood caries are associated with home-based prevention, early detection, and health care access [ 182 ].…”

Section: Resultsmentioning

confidence: 99%

A Scoping Review of the Health of African Immigrant and Refugee Children

Salami

Fernández‐Sánchez

Fouché

et al. 2021

IJERPH

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Migration is a growing phenomenon around the world, including within the African continent. Many migrants, especially African children, face challenges related to health and social inclusion and can face increased health risks. A systematic scoping review of available literature on the health of African migrant children across the globe was conducted to offer insight into these health risks. The review was conducted over a 15-month period from January 2019 to April 2020, yielding 6602 articles once duplicates were removed. This search included electronic databases, reference lists of articles reviewed, and searches of libraries of relevant organisations. A total of 187 studies met the inclusion criteria, of which 159 were quantitative, 22 were qualitative, and 6 used mixed methods. The findings reveal decreased health in this population in areas of nutrition, infectious diseases, mental health, birth outcomes, sexual and reproductive health, physical and developmental health, parasitic infections, oral health, respiratory health, preventative health, endocrine disorders, health care services, and haematological conditions. The findings offer insights into factors influencing the health of African immigrant and refugee children. Further studies, especially qualitative studies, are needed to determine barriers to service access after migration and to investigate other underexplored and overlooked health concerns of African migrant children, including pneumonia and child maltreatment.

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“…Dental age estimation becomes increasingly challenging with the progressive development of permanent teeth ( 1 ). In subadults, forensic odontologists have the last chance to benefit from tooth development to support dental age estimation practices ( 2 ).…”

Section: Introductionmentioning

confidence: 99%

Testing international techniques for the radiographic assessment of third molar maturation

Sartori¹,

Franco²,

Linden³

et al. 2021

J Clin Exp Dent

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Background To assess the radiographic third molar maturation with internationally developed techniques for age estimation. Material and Methods The study analyzed 1,062 panoramic radiographs of patients treated at the School of Dentistry of the University of Passo Fundo/RS/Brazil, between 2009 and 2020. The patients were separated into ages between 15.00 and 23.99 years and, for each radiograph, the third molars were classified into stages from 1 to 10, with the subsequent application of one of the formulae proposed by Gunst et al. A dichotomous variable indicating whether each individual was younger or older than 18 was calculated from the chronological age of the individuals. A logistic regression model was adjusted to assess whether the third molar stages are correlated with the age of individuals. Results The error indicators between estimated and chronological ages showed that mean errors closer to zero are seen in the 18-18.9 and 17-17.9 age groups, respectively. Male individuals were earlier in terms of dental mineralization but there were no significant differences between sexes regarding the applicability of the method. The ROC curve shows that the analysis of a single third molar for age estimation gives a maximum of 70.4% reliability. Conclusions The moderate performance of the technique tested in the present study justify future country-specific corrections to improve age estimation from the radiographic assessment of third molar maturity. Key words: Dental age estimation, forensic dentistry, radiology, third molar.

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Dental age estimation in Somali children and sub-adults combining permanent teeth and third molar development

Cited by 20 publications

References 56 publications

Application of Cameriere’s method for dental age estimation in children in South China

Application of Cameriere’s method for dental age estimation in children in South China

A Scoping Review of the Health of African Immigrant and Refugee Children

Testing international techniques for the radiographic assessment of third molar maturation

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