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Accuracy and Repeatability of Computer Aided Cervical Vertebra Landmarking in Cephalogram / 华中科技大学学报(医学)(英德文版)
Journal of Huazhong University of Science and Technology (Medical Sciences) ; (6): 119-123, 2012.
Artigo em Chinês | WPRIM | ID: wpr-248550
ABSTRACT
The accuracy and repeatability of computer aided cervical vertebra landmarking (CACVL) were investigated in cephalogram.120 adolescents (60 boys,60 girls) aged from 9.1 to 17.2 years old were randomly selected.Twenty-seven landmarks from the second to fifth cervical vertebrae on the lateral cephalogram.were identified.In this study,the system of CACVL was developed and used to identify and calculate the landmarks by fast marching method and parabolic curve fitting.The accuracy and repeatability in CACVL group were compared with those in two manual landmarking groups [orthodontic experts (OE) group and orthodontic novices (ON) group].The results showed that,as for the accu racy,there was no significant difference between CACVL group and OE group no matter in x-axis or y-axis (P>0.05),but there was significant difference between CACVL group and ON group,as well as OE group and ON group in both axes (P<0.05).As for the repeatability,CACVL group was more reliable than OE group and ON group in both axes.It is concluded that CACVL has the same or higher accuracy,better repeatability and less workload than manual landmarking methods.It's reliable for cervical parameters identification on the lateral cephalogram and cervical vertebral maturation prediction in orthodontic practice and research.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Guia de Prática Clínica Idioma: Chinês Revista: Journal of Huazhong University of Science and Technology (Medical Sciences) Ano de publicação: 2012 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Guia de Prática Clínica Idioma: Chinês Revista: Journal of Huazhong University of Science and Technology (Medical Sciences) Ano de publicação: 2012 Tipo de documento: Artigo