Understanding interactions among cephalometrics variables during growth in untreated Class III subjects
Understanding interactions among cephalometrics variables during growth in untreated Class III subjects
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DOI：
10.1093/ejo/cjw084
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发表时间：
2017-08-01
影响因子：
2.6
通讯作者：
Franchi, Lorenzo
中科院分区：
文献类型：
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作者：
Auconi, Pietro;Scazzocchio, Marco;Franchi, Lorenzo
目的：本研究的目的是应用数据挖掘学科，分类树（CTs）中常用的计算方法，以评估未经处理的III类subjects.Materials和方法的增长功能：CT应用于91个未经处理的III类科目（48名女性和43名男性）的数据，并与判别分析（DA）的结果进行比较。对于所有受试者，在T1（平均年龄10.4 +/-2.0岁）和T2（平均年龄15.4 +/-1.9岁）时可获得头颅侧位片。头影测量分析包括11个变量进行。受试者被分为两个亚组，不利的（“坏”）和有利的（“好”）的种植者，根据质量的骨骼生长速度与正常的颅面growth.Results：CT显示，最翔实的属性预测有利/不利的骨骼生长SNA角。SNA值低于79.1度的受试者显示出94%的不良生长风险。DA能够选择腭平面到下颌平面的角度作为预测因子。然而，与CT相比，DA显示出统计学上显著更高的错误分类率（40.7%对12.1%，二项式精确检验：比值比= 6.20; P <0.0001）。结论：CT提供了一种有效的测量方法，可以阐明颅面特征在预测未经治疗的III类受试者的有利/不利生长方面的有效贡献。
Objective: The aim of the present study was to apply a computational method commonly used in data mining discipline, classification trees (CTs), to evaluate the growth features in untreated Class III subjects.Materials and methods: CT was applied to data from 91 untreated Class III subjects (48 females and 43 males) and compared with the results of discriminant analysis (DA). For all subjects, lateral cephalograms were available at T1 (mean age 10.4 +/- 2.0 years) and at T2 (mean age 15.4 +/- 1.9 years). A cephalometric analysis comprising 11 variables was performed. The subjects were divided into two subgroups, unfavourable ('Bad') and favourable ('Good') growers, according to the quality of the skeletal growth rate in comparison with the normal craniofacial growth.Results: CTs showed that the most informative attribute for the prediction of favourable/unfavourable skeletal growth was the SNA angle. Subjects with SNA values lower than 79.1 degrees showed a risk of 94 per cent of growing unfavourably. DA was able to select palatal plane to mandibular plane angle as predictors. DA, however, showed a statistically significant higher rate of misclassification when compared with CTs (40.7 per cent versus 12.1 per cent, binomial exact test: odds ratio = 6.20; P < 0.0001).Conclusions: CTs provided a valid measure of elucidating the effective contribution of craniofacial characteristics in predicting favourable/unfavourable growth in untreated Class III subjects.