| [Background and Objective] The forensic identification of human bonehave always been the focus of forensic medicine. In all human bone, the skullhave more specifical skeletal landmarks, and were the best preserved parteven influenced by kinds of lethal reasons and postmortem interferences. Sothe skull were the most valuable indexes for forensic identification and themaxillofacial bone were the most times applied identification landmarks.Traditionally the landmarks of maxillofacial for forensic identification werechosen according to anatomical structures, pathological changes and dentalinterventions of teeth and maxillofacial bone. But lately medical fluoridationand improved dental care have resulted in a decrease in dental caries andincrease of patients' age. As a result of that, the forensic identification only by dental caries and interventions must be changed. The aim of our study was toexplore more concise and unified forensic identification indexes in digitalmaxillofacial radiograph (including digital orthopantomogram and digitallateral cephalogram) and establish personal recognition database of missingpepole and automated computer recognition system, we would select theindexes for identification, then design the code for the indexes and finallyevaluate them by statistical analysis.[Method] All of the the digital orthopantomogram had been divided intothree groups, including 620 samples with dental interventions, 150 sampleswith dental pathological changes but without therapy and 170 samples withnone disease. In this study we would observe and compare those three groupsseparately, then we would select indexes for full dentition patterns accordingto the dental pathological changes and intervention patterns, additionally wewould select indexes for dental alignment patterns according to the charactersof dental alignment. Besides the angle SNA and angle ANB in 100 digitallateral cephalograms would be measured in this study. We would create facialpattern indexes according to the lateral character of maxillofacial bone.Finally the diversity and value of all identification indexes would be evaluatedby statistical analysis.[Results] (1) The group with dental interventions had 619 kinds of dentalpattern in 620 samples, thus its diversity of full dentition patterns was 99.84%.The group with dental pathological changes but without therapy had 146 kindsof dental pattern in 150 samples, thus its diversity of full dentition patternswas 97.33%. The group with none disease had 74 kinds of dental pattern in170 samples, thus its diversity of full dentition patterns was 43.53%. (2) The group with none disease had 128 kinds of dental alignment pattern in 170samples, thus its diversity of dental alignment patterns was 75.29%. (3) Thegroup with none disease had 149 kinds of full dentition/dental alignmentpattern in 170 samples, thus its diversity of full dentition/dental alignmentpatterns was 87.65% . (4) The group of digital lateral cephalograms had 8kinds of facial pattern in 100 samples, thus its diversity of facial patterns was8%.[Conclusion](1)Both the group with dental interventions and the group withdental pathological changes but without therapy had very good full dentitiondiversity. Thus the method of full dentition coding was valuable in those twogroup. While the diversity of the group with none disease was not very good.So the full dentition coding was not very effective when it was used solely. (2)The diversity of dental alignment pattem in the group with none disease wasgood. So the method of dental alignment coding could be used in themaxillofacial forensic identification. (3) If the group with none disease appliedthe coding of full dentition and dental alignmeng pattern at the same time, itsdiversity was very good. So the method was valuable in forensic identification.(4)The angle SNA and angle ANB could be used as facial pattern indexeswhich would be valuable in forensic identification. But its diversity was stillnot very good. So it was necessary to select more facial pattern indexes. |
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