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Development of cephalometric norms using a unified facial and dental approach.

机译:使用统一的面部和牙科方法发展头颅测量规范。

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OBJECTIVE: To develop a cephalometric determination of anteroposterior skeletal occlusion on the basis of a clinically rational "gold standard" and objectively determined cut points. MATERIALS AND METHODS: Pretreatment cephalograms from 10- to 18-year-old Caucasian patients with a normal vertical face dimension were digitized. Facial profile line drawings were judged by orthodontist raters as Class I, II, or III. Subjects who met all inclusion criteria were divided into Class I, Class II, and Class III on the basis of the matched skeletal (facial) and dental occlusion and comprised our gold standard for anteroposterior skeletal occlusions. Cephalometric variables included ANB angle, McNamara analysis, Harvold unit differential, anteroposterior dysplasia index (APDI), and Wits analysis. Half the sample was used to derive skeletal classification norms using receiver operator characteristic (ROC) curves, and half the sample was used to test for diagnostic ability and to compare the diagnoses based on traditional cephalometric norms with the new norms. RESULTS: Results of the study showed that ANB and McNamara analysis performed well with traditional and ROC-derived norms, whereas Wits, Harvold unit differential, and APDI showed fewer errors in diagnosis with ROC norms compared with traditional norms. CONCLUSIONS: The use of a single set of diagnostic norms for each analysis to distinguish between the skeletal classifications for the 10- to 18-year-age group proved to be highly successful for each of the analyses and performed as well or better than when using traditional norms based on age and sex.
机译:目的:在临床上合理的“黄金标准”和客观确定的切点的基础上,发展头颅测量法测定前后骨骼的阻塞。材料与方法:将10到18岁白种人,垂直面部尺寸正常的患者的治疗前脑电图数字化。牙齿轮廓线图由牙齿矫正医生评定为I,II或III级。符合所有入选标准的受试者根据匹配的骨骼(面部)和牙齿咬合被分为I类,II类和III类,并构成了我们的前后骨骼咬合的金标准。头颅测量变量包括ANB角,McNamara分析,Harvold单位微分,前后异常增生指数(APDI)和Wits分析。一半的样本用于使用接收者操作员特征(ROC)曲线得出骨骼分类规范,一半的样本用于测试诊断能力,并将基于传统头颅测量规范的诊断与新规范进行比较。结果:研究结果表明,ANB和McNamara分析在传统和ROC派生的规范中表现良好,而Wits,Harvold单位微分和APDI与传统规范相比,诊断ROC规范的错误更少。结论:对于每项分析使用一套诊断规范来区分10至18岁年龄组的骨骼分类,在每种分析中均被证明是非常成功的,并且与使用时相比,其性能表现更好或更好。基于年龄和性别的传统规范。

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