Berketa John W, Hirsch Robert S, Higgins Denice, James Helen
School of Dentistry, University of Adelaide, Adelaide, SA 5005, Australia.
J Forensic Sci. 2010 Jan;55(1):66-70. doi: 10.1111/j.1556-4029.2009.01226.x. Epub 2009 Nov 30.
This study was undertaken to determine if dental implants can be radiographically differentiated by company type to aid forensic identification of the deceased. Recognition of dental implants on intraoral radiographic images was assessed in a blind study using a radiographic examination guide to highlight differences between dental implants. Inter- and intra-examiner comparisons were conducted and a computer program (Implant Recognition System) was evaluated to see whether it improved the accuracy of implant recognition. The study found that dental implants could be radiographically differentiated by company type. The Implant Recognition System in its current form was of little benefit for radiographic assessment of dental implants for forensic odontologists. Prior knowledge of implant types, with a McNemar's statistical value of 92.9, proved to be most significant in identification.
本研究旨在确定是否可以通过公司类型对牙科植入物进行影像学鉴别,以协助对死者进行法医鉴定。在一项盲法研究中,使用影像学检查指南评估口腔内影像学图像上的牙科植入物识别情况,以突出不同牙科植入物之间的差异。进行了检查者间和检查者内比较,并对一个计算机程序(植入物识别系统)进行了评估,以确定其是否提高了植入物识别的准确性。研究发现,可以通过公司类型对牙科植入物进行影像学鉴别。目前形式的植入物识别系统对法医牙科学者进行牙科植入物的影像学评估几乎没有帮助。植入物类型的先验知识在识别中最为重要,McNemar统计值为92.9。