scholarly journals Exfoliative cytology: A possible tool in age estimation in forensic odontology

2015 ◽  
Vol 7 (1) ◽  
pp. 63 ◽  
Author(s):  
Vijay Wadhwan ◽  
KaveriSurya Khanna ◽  
Anshi Jain ◽  
Amit Gupta ◽  
DeviCharan Shetty
Keyword(s):  
Age Estimation ◽  
Forensic Odontology ◽  
Exfoliative Cytology

scholarly journals IMPLICATION OF PERIO IN FORENSIC ODONTOLOGY

2020 ◽  
pp. 116-119
Author(s):  
Mahesh G. Chavda ◽  
Neeta V. Bhavsar ◽  
Mahendra Kumar Singh
Keyword(s):  
Root Length ◽  
Age Estimation ◽  
Periodontal Ligament ◽  
Crime Scene ◽  
Forensic Odontology ◽  
Forensic Research ◽  
Separate Branch ◽  
Attachment Level

Forensic research pertaining to dentistry has taken several turns and reached a crossroad where every separate branch has an entity to contribute to support identification of the deceased. Periodontics is utilized for identification of individuals through morphology and pathology of periodontium and is also utilized for age estimation studies which include periodontal ligament attachment level, root transparency and root length . The prime focus of this literature is to highlight how a periodontist can contribute to the field of forensic odontology by associating the following parameters of his domain, to unravel a crime scene. This literature aims to summarize the findings of studies that reported periodontal associations or potential associations that could play a role in forensic research.

scholarly journals Identification of Deceased Children of Nepal Airlines Crash through Dental Age Estimation

2017 ◽  
Vol 56 (208) ◽  
pp. 469-71
Author(s):  
Nitin Kumar Agrawal ◽  
Samarika Dahal ◽  
Harihar Wasti
Keyword(s):  
Age Estimation ◽  
Forensic Odontology ◽  
Mixed Dentition ◽  
Dental Age ◽  
Dental Age Estimation ◽  
Biological Profile ◽  
Disaster Victim Identification ◽  
Victim Identification ◽  
Dental Identification ◽  
Important Means

Identification of victims in a disaster is a challenging process and requires use of both primary and secondary identifiers. Development of teeth is one of the routinely used methods of age estimation and helps in establishing deceased biological profile. Two children who lost their lives in 2014 in Nepal Airlines crash, were looked for the dental developmental status. One of the children had primary dentition, while the other had mixed dentition. This helped us in estimating age of these individuals reconciled with the chronological age provided by the relatives. This led to the identification of both the children, thus, emphasizing teeth as important means of identification in any disaster. Keywords: dental age; dental identification; disaster victim identification; forensic dentistry; forensic odontology.

scholarly journals Age Estimation Methods in Forensic Odontology

2016 ◽  
Vol 23 (3) ◽  
Author(s):  
Phuwadon Duangto ◽  
Apirum Janhom ◽  
Sukon Prasitwattanaseree ◽  
Pasuk Mahakkanukrauh ◽  
Anak Iamaroon
Keyword(s):  
Age Estimation ◽  
Forensic Odontology ◽  
Estimation Methods

scholarly journals Oral Squamous Cells and Age Estimation in Exfoliative Cytology with Hematoxylin and Eosin Stain– A Quantitative Study

2021 ◽  
pp. 323-329
Author(s):  
B. Keerthana ◽  
R. Priyadharshini ◽  
Palati Sinduja
Keyword(s):  
Age Estimation ◽  
Morphological Changes ◽  
Pearson Correlation ◽  
Premalignant Lesions ◽  
Size Difference ◽  
P Value ◽  
Exfoliative Cytology ◽  
Age Variation ◽  
Epithelial Layers ◽  
Hematoxylin And Eosin Stain

Introduction: Exfoliative cytology in age estimation is a simple, painless, less invasive collection of exfoliative cells from epithelial layers, used as a diagnostic aid for age estimation. The oral cavity is an ideal site for exfoliative epithelial cells with a physiological turnover of cells, turnover decreases as the age increases show age variation with cellular morphological changes. Age estimation is one of the important factors to identify an individual and also helps to know the chronological age of a person. Aim: To analyze and estimate the age from buccal smear and comparing the average cellular size under Image morphometric analysis. Materials and Methods: Buccal mucosal smears are taken using a wooden spatula in gentle motion of scraping and smeared on a clean glass slide and fixed in 95% ethanol immediately after smearing a minimum of around 15 minutes and stained with Haematoxylin and eosin stain. After staining, the cells were observed by microscope and measured by a paint tool. Pearson correlation analysis was done using SPSS software. Results: The cell and nuclear size difference values observed using a Pearson correlation coefficient were statistically significant with p value<0.05 revealing that there is shrinkage in cells with increase in age. Conclusion:  Exfoliative cytology is a successful and vastly growing technology that is used for the detection of premalignant lesions. 

Exfoliative cytology for age estimation: A correlative study in different age groups

2018 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
ThambuKeerthi Priyadharshini ◽  
Vadivel Ilayaraja ◽  
Nalliappan Ganapathy ◽  
Andamuthu Yamunadevi ◽  
Janardhanam Dineshshankar ◽  
...  
Keyword(s):  
Age Estimation ◽  
Age Groups ◽  
Exfoliative Cytology ◽  
Correlative Study

Age estimation in children using Demirjian’s technique: A retrospective study

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Prajwalit P Kende ◽  
Ankeeta S Khadilkar ◽  
Rajesh P Gaikwad ◽  
Jayant S Landage
Keyword(s):  
Retrospective Study ◽  
Age Estimation ◽  
Accurate Method ◽  
Forensic Odontology ◽  
Original Method ◽  
Age Group ◽  
Dental Age Estimation ◽  
Cross Sectional ◽  
Younger Age ◽  
Mandibular Teeth

Age estimation is a sub discipline of forensic odontology which plays an important part in every identification process, especially when information related to the deceased is unavailable. The aim of this study was to evaluate the accuracy of Demirjian’s Dental Age Estimation technique, with the help of Ortho-Pantomo-Graphs (OPG) in 50 children. 50 OPGs of children in the age group of 6-16 years were randomly selected and a cross-sectional retrospective study was conducted. Age estimation was done by the method given by Demirjian and two tailed test of the data was carried out. A significantly high difference was observed in the estimated and chronologic ages in the age group of 13-16 years than in 6-12 years. Demirjian's original method, using seven mandibular teeth is an accurate method of age estimation in children especially of the younger age group (6-12 years of age).

scholarly journals Age Estimationof Pawon Manwith Teeth Identification Using Johanson Method Through Cbct 3d Radiograph

AMERTA ◽  
2018 ◽  
Vol 36 (1) ◽  
pp. 1
Author(s):  
Lutfi - Yondri
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Age Estimation ◽  
Alveolar Bone ◽  
Forensic Odontology ◽  
Visual Observation ◽  
Cone Beam ◽  
Purposive Sampling ◽  
Non Invasive ◽  
Primary Identification

Abstrac. Pawon man is prehistoric human who lived in Pawon cave. The skeletons founded in  the cave consist of rest of brittle bones and teeth which still attached to alveolar bone even though it had immersed inside the soils on thousands years ago. Then, the teeth are used as primary identification in forensic odontology research. This research aimed is to compare age estimation of Pawon man with Johanson method. Previously, the age estimation was made only based on visual observation of posterior molars attrition by Brothwell method. This research is a descriptive studied using purposive sampling. The samples are 21 teeth that intact and attach to the alveolar bone without any fracture line. The measurement of age estimation with Johanson method using Ez-Implant software, it’s non-invasive age measurement by Cone Beam Computed Tomography 3D radiograph. The results showed that the age of first Pawon man is 32-33.92 years old, third Pawon man is 32.935-36.275 years old, fourth Pawon man is 34.42 years old, and fifth Pawon man is 27.36-31.35 years old. Nonetheless, the second Pawon man is not included in sampling criteria. The measurement using Johanson method through  CBCT.  Abstrak. Manusia Pawon adalah manusia prasejarah yang pernah hidup di Gua pawon pada masa lalu. Kerangka didirikan terdiri dari sisa tulang rapuh dan gigi yang masih menempel pada tulang alveolar meskipun telah terdeposisi di dalam tanah dari ribuan tahun yang lalu. Gigi merupakan digunakan sebagai identifikasi utama dalam penelitian odontologi forensik. Penelitian ini bertujuan untuk membandingkan estimasi usia manusia Pawon menggunakan metode Johanson. Sebelumnya, estimasi usia baru dibuat hanya berdasarkan pengamatan visual dari atrisi molar posterior menggunakan metode Brothwell. Penelitian ini merupakan penelitian deskriptif menggunakan purposive sampling. Sampel adalah 21 gigi yang utuh dan menempel pada tulang alveolar tanpa garis fraktur. Pengukuran estimasi umur bersifat non-invasif menggunakan hasil radiografi Cone Beam Computed Tomography 3D dan dianalisis melalui metode Johanson menggunakan software Ez-Implan. pengukuran Hasil penelitian menunjukkan bahwa usia manusia Pawon pertama adalah 32-33,92 tahun, Manusia Pawon ketiga adalah berusia 32,935-36,275 tahun, Manusia Pawon keempat berusia 34,42 tahun, dan Manusia Pawon kelima berusia 27,36-31,35 tahun. Manusia Pawon kedua tidak diukur karena tidak termasuk dalam kriteria sampling. Dapat dismpulkan bahwa pengukuran menggunakan metode Johanson melalui CBCT 3D lebih spesifik dan detail dalam menghasilkan estimasi umur dibandingkan dengan metode Brothwell.

scholarly journals Estimation of Age Using Dimensions of Apical Foramina of Teeth

2021 ◽  
Vol 10 (10) ◽  
pp. 705-710
Author(s):  
Aklesha Behera ◽  
Archana Santhanam ◽  
Herald J. Sherlin ◽  
Gifrina Jayaraj ◽  
Don K.R.
Keyword(s):  
Age Estimation ◽  
Age Groups ◽  
Age Determination ◽  
Forensic Odontology ◽  
Estimation Methods ◽  
P Value ◽  
Age Group ◽  
Human Beings ◽  
Mean Diameter ◽  
The Mean

BACKGROUND Forensic odontology is an ever growing and a flourishing science. The science deals in criminal laws by using dental knowledge. People who practice forensic odontology are called as forensic dentists. They are asked to determine the age, sex, race, occupation, previous dental history and various other determinants like DNA verification in unidentified human beings. Teeth are a very special tissue in the human body. Teeth are the only tissue which can survive through extreme climatic and environmental conditions like heat, cold etc. hence many a times retains its morphology. Age estimation has been studied by many researchers but age estimation methods have been incapable of providing the age estimation in older age groups. The study aims to determine the age using the dimensions of the apical foramen from middle age to old age groups. METHODS A descriptive ex vivo study, was done from December 2019 to March 2020. Freshly extracted teeth were collected and cleaned using hydrogen peroxide. The teeth selected were single rooted teeth like incisors, canine and premolars in the age group of 30 to 40 years, 41 - 50 years, 51 - 60 years and 61 - 70 years. Apical one third of the teeth was sectioned, mounted over a slide and placed perpendicular to the lens of the stereomicroscope. Using Mag Vision and Image J software, photomicrographs and measurements were taken. Data procured was tabulated and statistical analysis was done using Statistical Package for the Social Sciences (SPSS) version 20. RESULTS In 30 - 40 years age group, the mean diameter of all single rooted teeth was 0.35 mm. Among the 41 - 50 years age group, the mean diameter was 0.43mm. In 51 - 60 years age group it was 0.41mm and in the 61 - 70 years age group, the mean diameter was 0.36 mm. Pearson chi square P value for incisor is 0.280, canine is 0.223 and premolar is 0.326. CONCLUSIONS Age estimation can be done using physiological dimensions of apical foramen. From the present study, dimensions of apical foramen decreases with increasing age due to cementum deposition. KEY WORDS Age Determination, Apical Foramen Diameter, Single Rooted Teeth

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