Journal of Forensic Dental Sciences
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Year : 2010  |  Volume : 2  |  Issue : 2  |  Page : 91-95

Age estimation in 25-45 yrs. old females by physical and radiological methods

1 Department of Oral Medicine and Radiology, Rural Dental College, Loni, India
2 Department of Oral Medicine and Radiology, Nair Hospital Dental College, Mumbai, India
3 Department of Forensic Medicine, KEM Hospital, Mumbai, Maharashtra, India

Correspondence Address:
Vikrant Kasat
Department of Oral Medicine and Radiology, Rural Dental College, Loni - 413 736, Maharashtra
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0975-1475.81290

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Aim:The purpose of this study was to estimate the age in living females in the later years (25 to 45 years) from general physical features and radiographic changes in the sternum and the mandible. Materials and Methods:A cross-sectional study was conducted on 64 females (32 subjects in each study and control group). All the subjects were physically examined for graying of scalp, body, pubic hair, and for wrinkling of skin of the forehead, temporal region, and below the eyes. A right lateral view of the chest was taken to determine fusion of the components of the sternum. Combined Hair Score, Combined Skin Score, and Combined Bone Fusion Score were calculated. An orthopantomogram of each patient was traced for lower jaw, mandibular canal and teeth, and D 1 , D 2 , A values were calculated. SPSS Software Version 10.1 was used for the execution of the regression command on the 32 cases of the control group, whose ages were known. Results:Combined skin score, mandible right D 2 , mandible right angle, and mandible left angle turned out significant in the prediction of age. Using the regression equation obtained, the age of the 32 subjects in the study group was estimated. In 9.3% of cases, the predicted ages exactly matched the actual ages. A variation of 1−4 years was seen in 75% of the cases. A variation of 6−7 years was seen in 15.6% of the cases. Conclusion:This study succeeded in most instances in predicting the ages of the study group and in arriving at a formula for age estimation between the ages of 25 and 45 years without using any invasive, costly, time - consuming, or troublesome method.

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