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Analysis on correlation of sagittal craniofacial structures with different classes of malocclusion based on genetic algorithms method / 吉林大学学报(医学版)
Journal of Jilin University(Medicine Edition) ; (6): 800-804, 2017.
Article in Chinese | WPRIM | ID: wpr-616914
ABSTRACT

Objective:

To optimize the parameters of the equation of sagittal craniofacial structures with different classes of malocclusion using genetic algorithms(GAS), and to explore the rules .

Methods:

A total of 240 patients with average angle malocclusion aged 8-18 years old were divided into three groups Angle Class Ⅰ(n=79), Angle Class Ⅱ(n=76)and Angle Class Ⅲ(n=85) groups.In each group 10 cases were randomly selected as the test samples, the rest as the experimental samples.The cephalometric analysis was performed on all the patients'' cephalograms, and the results of Ba-N,Ba-A,Ba-S,S-Ptm,Ptm-A,Ba-Ar,Ar-Go,Go-PoG,Ba-PoG and N-S-Ar were analyzed by two independent samples t-test and One-Way ANOVA. The relevant influencing factors of craniofacial structures were found.The parameters of the equation was optimized to obtain the relevant equations using GAS.The predicted values of the optimized equation were compared with the measured values.

Results:

There were no significant differences in sex between Angle Class Ⅰ, Class Ⅱ and Class Ⅲ groups(P> 0.05);when the men and women with the same type were combined,the Ba-A,Ptm-A,Ar-Go,and Ba-PoG had statistically significant differences between Angle Class Ⅰ, Class Ⅱ, and Class Ⅲ groups (P 0.05), and the error was small.

Conclusion:

The optimal relation equation of craniofacial structure of sagittal malocclusion is established by GAS with the quantitative regularity.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Journal of Jilin University(Medicine Edition) Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Journal of Jilin University(Medicine Edition) Year: 2017 Type: Article