scholarly journals Accuracy of MRI skeletal age estimation for subjects 12–19. Potential use for subjects of unknown age

2015 ◽  
Vol 129 (3) ◽  
pp. 609-617 ◽  
Author(s):  
Serenella Serinelli ◽  
Valeria Panebianco ◽  
Milvia Martino ◽  
Sofia Battisti ◽  
Karina Rodacki ◽  
...  
Keyword(s):  
Age Estimation ◽  
Skeletal Age ◽  
Potential Use

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.

Methodology of skeletal age estimation and sex determination with ossification centers of the sternum: An exploratory study

2020 ◽  
Vol 23 (3and4) ◽  
pp. 217-221
Author(s):  
Vaishnavi Chaturvedi ◽  
Leena Kumari ◽  
Nitish Virmani ◽  
Rakesh Dube ◽  
Vijay Kumar ◽  
...  
Keyword(s):  
Sex Determination ◽  
Age Estimation ◽  
Exploratory Study ◽  
Skeletal Age ◽  
Ossification Centers

Great expectations: The rise, fall, and resurrection of adult skeletal age estimation

2021 ◽  
pp. 139-154
Author(s):  
George R. Milner ◽  
Jesper L. Boldsen ◽  
Stephen D. Ousley ◽  
Sara M. Getz ◽  
Svenja Weise ◽  
...  
Keyword(s):  
Age Estimation ◽  
Skeletal Age ◽  
Great Expectations

Skeletal age estimation of the living and the dead: the evolution of methodology

2019 ◽  
pp. 29-40
Author(s):  
Douglas H. Ubelaker ◽  
Ashleigh Longeway
Keyword(s):  
Age Estimation ◽  
Skeletal Age ◽  
The Dead

Skeletal age estimation in a contemporary Western Australian population using the Tanner–Whitehouse method

2016 ◽  
Vol 263 ◽  
pp. e1-e8 ◽  
Author(s):  
Ariane Maggio ◽  
Ambika Flavel ◽  
Rob Hart ◽  
Daniel Franklin
Keyword(s):  
Age Estimation ◽  
Skeletal Age ◽  
Australian Population ◽  
Western Australian

Skeletal age estimation in Hungarian population of known age and sex

2012 ◽  
Vol 223 (1-3) ◽  
pp. 374.e1-374.e8 ◽  
Author(s):  
K. Wolff ◽  
Z. Vas ◽  
P. Sótonyi ◽  
L.G. Magyar
Keyword(s):  
Age Estimation ◽  
Skeletal Age ◽  
Hungarian Population ◽  
Age And Sex

Skeletal Age Estimation in Leg Length Discrepancy

1988 ◽  
Vol 8 (5) ◽  
pp. 513-515 ◽  
Author(s):  
Peter Cundy ◽  
Dennis Paterson ◽  
Lloyd Morris ◽  
Bruce Foster
Keyword(s):  
Age Estimation ◽  
Skeletal Age ◽  
Leg Length Discrepancy ◽  
Leg Length ◽  
Length Discrepancy
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