title: Comparison of simulated human dermal bitemarks possessing three-dimensional attributes to suspected biters using a proprietary three-dimensional comparison.
abstract: The infliction of a bite is a four-dimensional space-time event that is ideally analyzed with three-dimensional (3-D) technology. Comparison of 2-D images (photographs) of a bitemark with a 3-D replica of a suspect's dentition is challenging. The authors present a technique that produces 3-D images of indented marks and dentitions for comparisons. Study models and corresponding dental-wax bites were digitized by 3-D scanning, and comparison overlays were generated using DentalPrint software. The effectiveness of the method was analyzed by determining the area under receiver operating characteristic (ROC) curve and the sensitivity, specificity and 95% confidence interval (CI) for each cut-off point. An area under the ROC curve of 0.953 (SE=0.029; 95% CI=0.893-0.985) and high sensitivity and specificity values were obtained for 104 comparisons made by an expert examiner, who correctly identified 92.3% of matching dentitions and 98.7% of non-matching dentitions. This technique can be considered a highly accurate method of bitemark analysis, although indentations must be present in the injury, limiting the cases that can be resolved. A comparative study of the same dentitions using 2-D bitemark photography confirmed the superiority of the new approach.
authors.affiliation: Department of Forensic Medicine and Forensic Odontology, University of Granada, Granada, Spain. stella@ugr.es
authors.forename: Stella
authors.initials: S
authors.lastname: Martin-de-las-Heras
authors.forename: Daniel
authors.initials: D
authors.lastname: Tafur
mesh_terms: D000818:Animals; D001734:Bites, Human / Q000473:pathology*; D003817:Dentition; D005553:Forensic Dentistry / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional; D023421:Models, Animal; D003765:Models, Dental; D010781:Photography; D012372:ROC Curve; D012680:Sensitivity and Specificity; D012984:Software; D013552:Swine