| Literature DB >> 25646135 |
Nagalaxmi V1, Sridevi Ugrappa1, Naga Jyothi M1, Lalitha Ch1, Kotya Naik Maloth2, Srikanth Kodangal1.
Abstract
BACKGROUND AND OBJECTIVES: Human identification is the forensic odontologist's primary duty in the fields like violent crime, child abuse, elder abuse, missing persons and mass disaster scenarios. In each context, dental traits may produce compelling evidence to aid victim identity, suspect identity and narrow down the outcome of investigative casework. Sometimes it becomes necessary to apply some least known and less popular techniques in identification procedure where lip prints, rugae patterns and canine odontometrics can give us comparatively valid conclusions pertaining to person's identification. This study elucidates the significance of cheiloscopy, palatoscopy and canine odontometry in sex prediction and discrimination.Entities:
Keywords: Forensic identification; lip prints; mandibular canine index; rugae patterns; sex discrimination.
Year: 2015 PMID: 25646135 PMCID: PMC4311385 DOI: 10.2174/1874210601408010269
Source DB: PubMed Journal: Open Dent J ISSN: 1874-2106
Kappa coefficient test for proportion to assess sex differences in lip print patterns.
| Predicted Lip Gender | Kappa | % Agreement | |||
|---|---|---|---|---|---|
| Male | Female | ||||
| Actual gender | Male | 28 | 2 | 0.633 | 81.67 |
| Female | 9 | 21 | |||
Inter and intra observer variability assessed by kappa co-efficient to assess sex differences in lip print patterns.
| 2nd Observer | Kappa | % Agreement | |||
|---|---|---|---|---|---|
| Female | Male | ||||
| 1st observer | Female | 20 | 9 | 0.465 | 73.33 |
| Male | 7 | 24 | |||
Chi square test for proportion to assess sex differences in palatal rugae patterns.
| S.No. | Actual Gender | p-value | ||||
|---|---|---|---|---|---|---|
| Male | Female | |||||
| N | % | N | % | |||
| Rugae | 1 | 2 | 6.7% | 1 | 3.3% | 0.785; NS |
| 2 | 5 | 16.7% | 5 | 16.7% | ||
| 3 | 17 | 56.7% | 19 | 63.3% | ||
| 4 | 0 | .0% | 1 | 3.3% | ||
| 5 | 3 | 10.0% | 3 | 10.0% | ||
| 6 | 3 | 10.0% | 1 | 3.3% | ||
t test for proportion to assess sex differences in mandibular canine odontometrics.
| Actual Gender | t | p-value | ||||
|---|---|---|---|---|---|---|
| Male | Female | |||||
| Mean | SD | Mean | SD | |||
| MDW43 (right) | 6.66 | .37 | 6.42 | .28 | 2.866 | 0.066; Sig |
| MDW33 (left) | 6.73 | .34 | 6.53 | .31 | 2.32 | 0.024; Sig |
| ICW | 26.76 | 1.90 | 25.77 | 1.66 | 2.151 | 0.036; Sig |
| MCI _right (43) | .2501 | .0213 | .2497 | .0128 | 0.073 | 0.942; NS |
| MCI _left (33) | .2524 | .0203 | .2540 | .0127 | -0.349 | 0.729; NS |
MDW = Mesio-distal width. MCI= Mandibular canine index. ICW= Inter canine width
MCI 43 (Right canine): Percentage of sex correctly predicted using right Mandibular Canine Index (MCIs).
| Observed | Predicted | |||
|---|---|---|---|---|
| Actual gender | Percentage Correct | |||
| Male | Female | |||
| Actual Gender | Male | 22 | 8 | 73.3 |
| Female | 9 | 21 | 70.0 | |
| Overall Percentage | 71.7 | |||
MCI 33(left canine): Percentage of sex correctly predicted using left Mandibular Canine Index (MCIs).
| Observed | Predicted | |||
|---|---|---|---|---|
| Actual gender | Percentage Correct | |||
| Male | Female | |||
| Actual Gender | Male | 20 | 10 | 66.7 |
| Female | 13 | 17 | 56.7 | |
| Overall Percentage | 61.7 | |||
Assessment of sexual dimorphism in right and left mandibular canine.
| Actual Gender | Sexual dimorphism | ||||
|---|---|---|---|---|---|
| Male | Female | ||||
| Mean | SD | Mean | SD | ||
| MDW43 | 6.66 | .37 | 6.42 | .28 | 3.73% |
| MDW33 | 6.73 | .34 | 6.53 | .31 | 3.06% |
Comparing Percentage Accuracy of Gender Determination with Various Similar Studies.
| Author | Region | Percentage | Percentage | Total |
|---|---|---|---|---|
| Present study | Telangana | 73.3% | 70% | 71.7% |
| Geeta | Telangana | 80% | 76.66% | 78.3% |
| Acharya & Mainali [45] | Karnataka | 57.14% | 44.44% | 51.28% |
| Rao | Karnataka | 84.3% | 87.5% | 85.9% |
| Reddy | Uttar Pradesh | 78% | 66% | 72% |
| Dhara Parekh [46] | Gujarat | 50.5% | 55.3% | 52.4% |
| Ahmed [47] | Iraq | 32% | 59% | 45.5% |
| Kakkar | Punjab | 53.54% | 55.03% | 54.44% |
| Narang S | Punjab | 68% | 67.6% | 67.8% |