scholarly journals The Broad Variability in Dental Age Observed among Childhood Survivors Is Cancer Specific

2020 ◽  
Author(s):  
Patrycja Proc ◽  
Joanna Szczepańska ◽  
Małgorzata Zubowska ◽  
Beata Zalewska-Szewczyk ◽  
Wojciech Młynarski
Keyword(s):  
Dental Age ◽  
Childhood Survivors

COMPARISION OF DENTAL SCORING SYSTEM WITH RADIOGRAPHIC SKELETAL SYSTEM IN AGE ESTIMATION

JKCD ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 9-11
Author(s):  
Sadaf Ambreen
Keyword(s):  
Age Estimation ◽  
Scoring System ◽  
Skeletal Age ◽  
Chronological Age ◽  
Age Group ◽  
Dental Age ◽  
Scoring Method ◽  
Cross Sectional ◽  
Study Results ◽  
Male Subjects

Objectives: To compare Demirjian Dental scoring method with Greulich-Pyle (GP) Skeletal method of age estimation in pubertal children. Materials and Methods: Sample of the study included 267 male healthy subjects of 11-16 years of age group.. Demirjian Scoring system was utilized to evaluate the orthopantomograms to assess their Dental age and the Hand-Wrist radiographs were analyzed to calculate the skeletal age by utilizing GP atlas. Chronological age was obtained from the date of birth of the subject .Both methods were compared with one another and with the chronological age. It was a cross-sectional study and only healthy male subjects without any clinical abnormalities were included in the study. Results: A total of 267 male subjects of 11-16 years of age group were assessed by Demirjian and Greulich Pyle Methods. Both were compared with Chronological Age. Data obtained was statistically analyzed and the Student “t” test was applied in the study population. The mean difference between Chronolgical age and dental age was 0.69years and that of chronological age and skeletal age was 0.87 years. It was observed from dental age assessment that it does not differ much from the skeletal age. Conclusion: It was concluded that Demirjian method of Age Estimation is more precise than Greulich Pyle method of Age Estimation. Furthermore both methods can be used selectively in Medicolegal cases to access bone age which can be easily correlated to chronological age.

Accuracy of the Demirjian, Willems and Nolla methods for dental age estimation in a northern Chinese population

2020 ◽  
Vol 118 ◽  
pp. 104875
Author(s):  
Meng-qi Han ◽  
Si-xuan Jia ◽  
Chen-Xu Wang ◽  
Guang Chu ◽  
Teng Chen ◽  
...  
Keyword(s):  
Age Estimation ◽  
Chinese Population ◽  
Dental Age ◽  
Dental Age Estimation ◽  
Northern Chinese ◽  
Northern Chinese Population

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

2021 ◽  
pp. 1-9
Author(s):  
Zedeng Yang ◽  
Dan Wen ◽  
Jiao Xiao ◽  
Qianying Liu ◽  
Shule Sun ◽  
...  
Keyword(s):  
South China ◽  
Age Estimation ◽  
Dental Age ◽  
Dental Age Estimation

Comparison of different machine learning approaches to predict dental age using Demirjian’s staging approach

2021 ◽  
Author(s):  
Antoine Galibourg ◽  
Sylvain Cussat-Blanc ◽  
Jean Dumoncel ◽  
Norbert Telmon ◽  
Paul Monsarrat ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Dental Age

Identification of children in a mass disaster by estimation of dental age

BDJ ◽  
1970 ◽  
Vol 129 (4) ◽  
pp. 167-169 ◽  
Author(s):  
K F Ashley
Keyword(s):  
Mass Disaster ◽  
Dental Age

A new method to estimate dental age

2012 ◽  
Vol 71 (3-4) ◽  
pp. 590-598 ◽  
Author(s):  
Arzu Pinar Erdem ◽  
Esra Yamac ◽  
Mehmet Ali Erdem ◽  
Elif Sepet ◽  
Zeynep Aytepe
Keyword(s):  
New Method ◽  
Dental Age

Validity and accuracy of three radiographic dental age estimation methods in Brazilians

2018 ◽  
Vol 283 ◽  
pp. 128-135 ◽  
Author(s):  
Eduardo Novaes Benedicto ◽  
Alana Cássia Silva Azevedo ◽  
Edgard Michel-Crosato ◽  
Maria Gabriela Haye Biazevic
Keyword(s):  
Age Estimation ◽  
Estimation Methods ◽  
Dental Age ◽  
Dental Age Estimation
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