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Three-dimensional palatal anatomic characteristics' correlation with dermatoglyphic heterogeneity in Angle malocclusions

机译:错牙合畸形的三维pa解剖特征与皮雕异质性的关系

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Objectives: To assess correlation of dermatoglyphic (DG) pattern with quantitative palatal anatomic parameters measured using three-dimensional (3D) scanning of dental casts and to explore the possibility of utilizing these to predict future occurrence of malocclusion. Materials and Methods: Pretreatment casts of 477 Saudi Arabian patients were divided into Class I, II, and III malocclusion groups. Fingerprints were recorded for all hand digits using a digital biometric device. Maxillary arch analysis was accomplished including intercanine, intermolar distance, palatal height, and palatal area. The results were statistically analyzed. Results: The mean surface area of the palate was highest in Class II malocclusion. The DG pattern was not significantly associated with the type of malocclusion, except in the instance of the double loop characteristic (P = .05). There was a strong correlation, however, between DG characteristics like simple arch, loop, and double loop and palatal dimensions (intercanine, intermolar distance, and palatal height). Heterogeneity of DG pattern could be reliably used to predict palatal dimensions. Logistic regression revealed that only tented arch, symmetrical, spiral DG patterns and palatal area were significant but weak predictors of Angle malocclusion (P .05). Conclusions: A novel correlation of DG pattern with 3D palatal anatomic characteristics was assessed in different Angle malocclusion classes. Few of the DG characteristics and palatal dimensions showed significant correlations. However, only some of these were significant predictors of Angle malocclusion.
机译:目的:评估皮雕(DG)模式与使用牙模的三维(3D)扫描测量的定量an解剖参数之间的相关性,并探讨利用这些方法预测将来发生错牙合的可能性。材料和方法:将477名沙特阿拉伯患者的治疗前石膏分为I,II和III类错牙合组。使用数字生物特征识别设备记录所有手指的指纹。完成上颌弓分析,包括犬齿间,臼齿间距离,pa高度和pa面积。对结果进行统计分析。结果:在II类错牙合中,。的平均表面积最高。 DG模式与错(牙合)类型没有显着相关,除了双环特征(P = .05)。但是,DG特征(例如简单的弓,loop和双double)与pa骨尺寸(犬齿间,臼齿间距离和pa骨高度)之间存在很强的相关性。 DG模式的异质性可以可靠地用于预测pa尺寸。 Logistic回归分析显示,仅帐篷弓形,对称,螺旋DG模式和area面积是重要的指标,但对角度错合的预测性较弱(P <.05)。结论:在不同的角度错牙合畸形类别中,DG模式与3D lat解剖特征之间存在新的相关性。 DG的特征和pa大小几乎没有显着的相关性。但是,只有其中一些是角度错合的重要预测指标。

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