Diagnosis of skeletal form on the lateral cephalogram with a finite element-based expert system.
Orthodontic diagnosis depends largely on the current methods of cephalometric analysis and categorization. It is therefore unfortunate that such analyses tend to use inappropriate metrical systems that lack a rigorous scientific basis. As a consequence, the resultant data have questionable validity, as well as being subject to observer bias. In this study, an alternative, more rigorous, approach is described. A random sample of 126 pretreatment lateral cephalograms were analyzed with the finite element method. These data were then classified to form a training set or reference data base for the subsequent objective diagnosis of new, previously unclassified cases. This new case-classification system was based on matching the new cases to similar cases within the existing training set. The degree of concordance between such computer-matched cases was then evaluated by their subsequent conventional cephalometric analyses.
Fine
M B
MB
Department of Preventive Dental Science, University of Manitoba, Winnipeg, Canada.
Lavelle
C L
CL
D000293:Adolescent; D002508:Cephalometry / Q000379:methods*; D016000:Cluster Analysis; D003799:Dental Stress Analysis / Q000379:methods*; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D005260:Female; D006801:Humans; D008310:Malocclusion / Q000145:classification* / Q000175:diagnosis*; D012016:Reference Values