scholarly journals Age estimation equations using vertebral osteophyte formation in a Thai population: comparison and modified osteophyte scoring method

2019 ◽  
Vol 52 (2) ◽  
pp. 149 ◽  
Author(s):  
Sithee Praneatpolgrang ◽  
Sukon Prasitwattanaseree ◽  
Pasuk Mahakkanukrauh
Keyword(s):  
Age Estimation ◽  
Scoring Method ◽  
Thai Population ◽  
Osteophyte Formation ◽  
Estimation Equations ◽  
Population Comparison

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.

scholarly journals Image Analysis of Morphometric Evaluation from the Heart Valves for Age Estimation in Thai Population

2020 ◽  
Vol 38 (3) ◽  
pp. 726-730
Author(s):  
Treerat Gumpangseth ◽  
Pornhatai Komutrattananont ◽  
Patison Palee ◽  
Sukon Prasitwattanaseree ◽  
Pasuk Mahakkanukrauh
Keyword(s):  
Image Analysis ◽  
Age Estimation ◽  
Heart Valves ◽  
Thai Population ◽  
Morphometric Evaluation

scholarly journals Testing the London atlas for age estimation in Thai population

2019 ◽  
Vol 78 (3) ◽  
pp. 161-164
Author(s):  
Wanwisah Namwong ◽  
Scheila Mânica
Keyword(s):  
Age Estimation ◽  
Thai Population

scholarly journals Stature Estimation from Dry Bone and Radiographic Clavicular Measurements in A Thai Population

2021 ◽  
Vol 16 (1) ◽  
pp. 177-189
Author(s):  
Pasuk Mahakkanukrauh ◽  
Keyword(s):  
Stepwise Regression ◽  
Population Data ◽  
Model Fit ◽  
Long Bones ◽  
Analysis Model ◽  
Thai Population ◽  
Stature Estimation ◽  
Estimation Equations ◽  
Radiographic Measurements ◽  
Dry Bone

Stature is one of the main biological features which can be used to classify unidentified skeletal deceased. Also, precise population data is crucial for forensic anthropology frameworks. Nonetheless, the studies concerning this subject in Thailand are limited and regularly focus on long bones. This study attempts to establish stature estimation equations from clavicular dry bone and radiographic measurements. Both sides of the clavicular bones are separated from 25 female and 112 male deceased in an autopsy room situated in Bangkok, Thailand. Twelve variables of each side of the clavicle are measured. The study outcomes show that stature can be estimated by applying 3 variables in a stepwise regression analysis model in unidentified sex remains, with R2 = 0.49 and standard error of estimation (SEE) 5.238 cm. Moreover, the height of the sternal end of clavicle bones can be used to estimate stature in cases of fragmented clavicles recovered from crime scenes with R2 = 0.238 and SEE 6.353 cm. Maximum length shows the best correlation and model fit with stature (R = 0.562, R2 = 0.316 and SEE 6.020 cm) from radiographic measurements. Therefore, this study presents a complementary, beneficial method for forensic anthropologists to create biological profiles of unidentified skeletal remains in cases where the long bones are not obtainable. Moreover, stature estimation from radiographic measurements can be applied in cases of partial skeletonisation.

New models for age estimation and assessment of their accuracy using developing mandibular third molar teeth in a Thai population

2016 ◽  
Vol 131 (2) ◽  
pp. 559-568 ◽  
Author(s):  
P. Duangto ◽  
A. Iamaroon ◽  
S. Prasitwattanaseree ◽  
P. Mahakkanukrauh ◽  
A. Janhom
Keyword(s):  
Age Estimation ◽  
Third Molar ◽  
Thai Population ◽  
Mandibular Third Molar ◽  
New Models ◽  
Molar Teeth

Estimating age from digital radiographic images of lumbar vertebrae in a Thai population using an image analysis technique

2021 ◽  
pp. 002580242110620
Author(s):  
Yanumart Malatong ◽  
Patison Palee ◽  
Apichat Sinthubua ◽  
Sakarat Na Lampang ◽  
Pasuk Mahakkanukrauh
Keyword(s):  
Image Analysis ◽  
Linear Regression ◽  
Age Estimation ◽  
Lumbar Vertebrae ◽  
Lumbar Vertebra ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Thai Population ◽  
Radiographic Images ◽  
Black Pixel

Using the lumbar vertebra for age estimation is helpful in cases when skeletal remains are incomplete and typical skeletal age indicators are absent. This study aimed to apply an image analysis method in extracting black pixel variables for age estimation by using the radiographic images of lumbar vertebra in a Thai population. All lumbar vertebrae L1–L5 of 220 (110 males and 110 females) from Thai individuals of known sex and ages were studied. The variables of Total Percentage of black pixels (TP), Mean Percentage of black pixels (MP), and Ratio of black to white pixels (BW), were calculated to assess the relationship between black pixel variables and aging. Equations were formulated using linear regression analysis. The results of this study indicated three variables of the lumbar vertebrae had significantly positive correlations with age. The correlation between parameters with age in males ranged 0.211–0.419, while the range in females was 0.219–0.458. The appropriate linear regression equation with the total and mean percentages of black pixel variables shows Age = −1.348+0.871 (TP) +0.514 (MP) of L4 for males (SEE; 15.4 years), and Age = 5.338 +0.316 (TP) +0.952 (MP) of L1 for females (SEE; 13.8 years). Age estimation using an image analysis method is an alternative to investigating the trabecular structure. The black pixel variable is not the actual value of bone density. However, it is useful to study its relationship with aging.

scholarly journals Age Estimation from Computed Tomography of Cranial Suture Closure in a Thai Population

2020 ◽  
Vol 15 (2) ◽  
pp. 276-289
Author(s):  
Pasuk Mahakkanukrauh ◽  
Keyword(s):  
Computed Tomography ◽  
Age Estimation ◽  
Ct Images ◽  
Ct Image ◽  
Cranial Suture ◽  
Thai Population ◽  
Age Related ◽  
Fundamental Information ◽  
Starting Point ◽  
Suture Closure

Age estimation from human skeletal remains is an important step to reconstruct a biological profile. Cranial suture has long been studied for its age-related closure. However, until now, forensic anthropologists still attempt to investigate the best way of estimating age at death from cranial suture closure because skull is usually found at the crime scene due to its easy recognised-appearance and persistence to post-mortem insults. For these reasons, a study of age estimation from cranial suture closure in a Thai population was conducted, which focussed to study the appearance and visibility of facial suture closure using computed tomography (CT). CT image series of 140 cases were obtained in order to investigate ectocranial closure of the selected facial sutures. The results from CT image analysis revealed that nasomaxillary provided the most consistent examination of suture closure (52%) while frontonasal delivered the lowest consistency in suture closure examination (29%). The inconsistency mostly occurred in assigning the closure score of 1 and 2. Thus, it could be suggested that a 3-scale scoring system of closure: open, closing, and closed, could be an appropriate method of evaluating degree of ectocranial closure of facial sutures obtained from CT imaging. This fundamental information of facial suture closure from CT images could serve as a starting point on development of age estimation technique from suture closure by utilising CT images.

scholarly journals Age Estimation using Aorta Image Analysis in the Thai Population

2021 ◽  
Vol 50 (2) ◽  
pp. 419-428
Author(s):  
Pornhatai Komutrattananont ◽  
Treerat Gumpangseth ◽  
Parison Palee ◽  
Sukon Prasitwattanaseree ◽  
Norzana Abd Ghafar ◽  
...  
Keyword(s):  
Image Analysis ◽  
Standard Error ◽  
Age Estimation ◽  
Structural Changes ◽  
Ascending Aorta ◽  
Morphometric Parameters ◽  
Thai Population ◽  
Horizontal Diameter ◽  
Analysis Programme ◽  
Outer Circumference

The current technology used in imaging has an increasing role in medical education. The concept of using an image analysis programme to help in estimating the age of the aorta, the largest artery, can be clearly seen to be of use, especially in establishing age changes for the identification of individuals. The purposes of the study were to investigate gross morphology, morphometric parameters, and the correlation between parameters with age of the aorta in human cadavers by using an image analysis programme. A total of 244 specimens were dissected from 4 locations of 61 human aortas from donour and autopsy cadavers with an age range of 20 to 90 years. The morphometric parameters included outer circumference, inner circumference, aortic diameter, and average thickness of all locations of the aorta. These were defined and measured by using the image analysis programme. The results of this study showed that the outer circumference (r=0.808-0.739), inner circumference (r=0.763-0.682), vertical diameter of the aorta (r=0.628-0.524) and horizontal diameter of the aorta (r=0.808-0.396) showed a significant correlation with age in all areas of the aorta. In the ascending aorta, the correlation between the outer circumference, horizontal diameter and age were higher than other variables and areas. The age equation established pertinent to the outer circumference (OC) in the ascending aorta was age = -61.648+ (1.141(OC)) with a standard error of ± 12.45 years. The age prediction equation for the horizontal diameter (HD) in the ascending aorta was age = -35.799+ (4.134(HD)) and a standard error of ± 12.43 years. In conclusion, knowledge of the structural changes associated with age can be used for age estimation in forensic anthropology.

scholarly journals Two-criteria Dental Aging Method Applied to a Bosnian Population: Comparison of Formulae for Each Tooth Group Versus One Formula for all Teeth

2006 ◽  
Vol 6 (3) ◽  
pp. 78-83 ◽  
Author(s):  
Nermin Sarajlić ◽  
Zdenko Cihlarž ◽  
Eva-Elvira Klonowski ◽  
Ivan Selak ◽  
Hrvoje Brkić ◽  
...  
Keyword(s):  
Bosnia And Herzegovina ◽  
Age Estimation ◽  
Age Groups ◽  
Group Versus ◽  
Age Group ◽  
Male Population ◽  
Mean Error ◽  
Population Comparison ◽  
Better Than

The purpose of this study was to obtain age estimation formulae using the length of periodontosis, transparency of the root and root height in each tooth group for the current male population in Bosnia and Herzegovina and to compare these formulae with Lamendin's and Prince's formulae. The research was undertaken on 847 single rooted teeth from 200 identified deceased persons, individuals who died between the ages of 23 and 85 years. Periodontosis, transparency and root height were measured according to Lamendin's procedure. All teeth were grouped in two ways: according to the tooth groups and to the age groups. The highest coefficients of correlation are obtained for maxillary canines (R = 0,731) and mandibular canines (R = 0,706) and the maxillary lateral incisors showed the lowest mean error (ME = 6,63 years). In age groups, the lowest mean error was obtained in the 40-49 years age group (ME = 5,15 years). Equations developed in this study give statistically significantly better age estimations in comparison to the original Lamendin and Prince formulae for the whole sample as well as for each tooth group, except for mandibular central incisors. Age estimation with models developed for each tooth group (except for mandibular lateral incisors) was statistically significantly better than models based on the whole sample.

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