A network approach to orthodontic diagnosis

A network approach to orthodontic diagnosis
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DOI:
10.1111/j.1601-6343.2011.01523.x
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发表时间:
2011-11-01
影响因子:
3.1
通讯作者:
Polimeni, A.
Polimeni, A.
中科院分区:
医学3区
文献类型:
--
作者:
Auconi, P.;Caldarelli, G.;Polimeni, A.

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作者- Auconi P,Caldarelli G,Scala A,Ierardo G,Polimeni ABackground -网络分析,复杂性科学的最新进展,能够理解复杂生物过程的特性,其特征在于大量参与组件的相互作用,自适应调节和协调。目的-我们将网络分析应用于生物学,以检测和可视化最相互关联的临床,放射学,材料和方法-样本包括104个人从7至13岁的年龄在混合牙列期没有以前的正畸干预。受试者被划分为根据骨骼类,他们的临床,影像学和功能的特点表示为顶点(节点)和链接(边)连接them.Results -II类受试者表现出一些高度连接的正畸功能(枢纽),而III类患者表现出更紧凑的网络结构,其特征是强大的共同出现的正常和异常的临床,功能和放射学特征。将我们的分析限制在最高相关性,我们确定了II类和III类咬合不正的关键特征。结论-通过网络分析获得的牙面系统的拓扑结构可以让正畸医生直观地评估和预测个体颅面生长过程中发育异常的共存,并可能定位反应位点,以治疗咬合不正。
Authors - Auconi P, Caldarelli G, Scala A, Ierardo G, Polimeni ABackground - Network analysis, a recent advancement in complexity science, enables understanding of the properties of complex biological processes characterized by the interaction, adaptive regulation, and coordination of a large number of participating components.Objective - We applied network analysis to orthodontics to detect and visualize the most interconnected clinical, radiographic, and functional data pertaining to the orofacial system.Materials and Methods - The sample consisted of 104 individuals from 7 to 13 years of age in the mixed dentition phase without previous orthodontic intervention. The subjects were divided according to skeletal class; their clinical, radiographic, and functional features were represented as vertices (nodes) and links (edges) connecting them.Results - Class II subjects exhibited few highly connected orthodontic features (hubs), while Class III patients showed a more compact network structure characterized by strong co-occurrence of normal and abnormal clinical, functional, and radiological features. Restricting our analysis to the highest correlations, we identified critical peculiarities of Class II and Class III malocclusions.Conclusions - The topology of the dentofacial system obtained by network analysis could allow orthodontists to visually evaluate and anticipate the co-occurrence of auxological anomalies during individual craniofacial growth and possibly localize reactive sites for a therapeutic approach to malocclusion.