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Diagnostic validity of different cephalometric analyses for assessment of the sagittal skeletal pattern

机译:不同头颅分析对矢状骨形态评估的诊断有效性

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Introduction: Numerous cephalometric analyses have been proposed to diagnose the sagittal discrepancy of the craniofacial structures. Objective: This study aimed at evaluating the reliability and validity of different skeletal analyses for the identification of sagittal skeletal pattern. Methods: A total of 146 subjects (males = 77; females = 69; mean age = 23.6 ± 4.6 years) were included. The ANB angle, Wits appraisal, Beta angle, AB plane angle, Downs angle of convexity and W angle were used to assess the anteroposterior skeletal pattern on lateral cephalograms. The sample was classified into Class I, II and III groups as determined by the diagnostic results of majority of the parameters. The validity and reliability of the aforementioned analyses were determined using Kappa statistics, sensitivity and positive predictive value (PPV). Results: A substantial agreement was present between ANB angle and the diagnosis made by the final group (k = 0.802). In the Class I group, Downs angle of convexity showed the highest sensitivity (0.968), whereas ANB showed the highest PPV (0.910). In the Class II group, ANB angle showed the highest sensitivity (0.928) and PPV (0.951). In the Class III group, the ANB angle, the Wits appraisal and the Beta angle showed the highest sensitivity (0.902), whereas the Downs angle of convexity and the ANB angle showed the highest PPV (1.00). Conclusion: The ANB angle was found to be the most valid and reliable indicator in all sagittal groups. Downs angle of convexity, Wits appraisal and Beta angle may be used as valid indicators to assess the Class III sagittal pattern.
机译:简介:已经提出了许多头颅测量分析来诊断颅面结构的矢状位差异。目的:本研究旨在评估不同骨骼分析在矢状骨骼模式识别中的可靠性和有效性。方法:共纳入146名受试者(男= 77;女= 69;平均年龄= 23.6±4.6岁)。使用ANB角,Wits评估,β角,AB平面角,凸面的Downs角和W角来评估侧位脑电图的前后骨骼模式。根据大多数参数的诊断结果,将样品分为I,II和III类。上述分析的有效性和可靠性使用Kappa统计量,敏感性和阳性预测值(PPV)确定。结果:ANB角度与最终组的诊断之间存在实质性一致性(k = 0.802)。在I类组中,Downs凸角显示最高的灵敏度(0.968),而ANB显示最高的PPV(0.910)。在II类组中,ANB角显示最高灵敏度(0.928)和PPV(0.951)。在III类组中,ANB角,Wits评估和Beta角显示出最高的灵敏度(0.902),而Downs凸角和ANB角显示出最高的PPV(1.00)。结论:ANB角被认为是所有矢状面组中最有效,最可靠的指标。向下的凸角,维氏评估角和贝塔角可以用作评估III级矢状图样的有效指标。

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