下颌大小作为基于头颅测量分析的咬合垂直尺寸的预测因子。

Omar E Gárate-Silva
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引用次数: 0

摘要

确定遮挡垂直尺寸(VDO)的方法有很多种,但大多数方法都需要科学的验证。目的:采用改进的Knebelman技术,研究智利年轻成人牙列完整和已知纳入标准的下颌头侧测量与VDO的相关性。材料和方法:研究人群包括96名年龄在18至35岁之间的智利年轻人。纳入标准为完整的自然牙列,双侧磨牙支持,骨骼I级或轻度II级,存在前耦合,无症状的颞下颌关节。排除标准为:既往或正在接受正畸治疗,接受过正颌或其他面部手术,不良的口腔习惯(口腔呼吸,或舌、唇或物体介入),严重的牙齿拥挤(IOTN评分bbbb2),过多的胡须和/或下巴下的软组织。使用改进的数字游标卡尺进行人体测量。使用QuickCeph 2000软件对数字侧位头颅x线进行下颌测量。所有的人体测量和头部测量由一名操作员进行。基于相关性最高的下颌头侧测量数据,提出了预测VDO的数学模型[VDO' = (XAEO-STF)*0.3 + (R3R4区域)0.5 + (Go-Ar区域)- 0.3 + (Ar-Po Mand.Depth.)*0.4 - 8],并对其预测能力进行检验。结果:选择了与VDO相关性最高的3个头颅测量指标。所得预测模型与实际VDO显著相关(r= 0.77),根据Björk-Jarabak面部生物型具有显著相关值。结论:所建立的数学模型与咬合的垂直尺寸有较强的相关性。这是一种可靠的方法,不受患者性别或生物型的影响,并且有助于在接近其原始状态的生理范围内恢复VDO。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mandibular size as a predictor of vertical dimension of occlusion based on cephalometric analysis.

There are multiple methods for determining Vertical Dimension of Occlusion (VDO), but most of them require scientific validation.

Aim: To study the correlation between mandibular cephalometric measurements and VDO in young Chilean adults with complete dentition and known inclusion criteria, by using modified Knebelman's technique.

Materials and method: The study population consisted of 96 young Chilean adults aged 18 to 35 years. Inclusion criteria were complete natural dentition, bilateral molar support, skeletal class I or mild class II, presence of anterior coupling, and asymptomatic temporomandibular joints. Exclusion criteria were prior or ongoing orthodontic treatment, having undergone orthognathic or other facial surgery, poor oral habits (mouth breathing, or lingual, labial or object interposition), severe dental crowding (IOTN score > 2), too much beard and/or soft tissue under the chin. Anthropometric measurements were taken with a modified digital vernier caliper. Mandibular cephalometric measurements were taken with the QuickCeph 2000 software on digital lateral cephalometric x-rays. All anthropometric and cephalometric measurements were taken by one operator. Based on the mandibular cephalometric measurements with the highest correlation, a mathematical model was proposed to predict the VDO [VDO' = (XAEO-STF)*0.3 + (R3R4 dist.)0.5 + (Go-Ar dist.)- 0.3 + (Ar-Po Mand.Depth.)*0.4 - 8], whose predictive capacity will be tested.

Results: The three cephalometric measurements with highest correlation with VDO were selected. The resulting predictive model correlated significantly with actual VDO (r= 0.77), in addition to having significant correlation values according to the Björk-Jarabak facial biotypes.

Conclusions: The proposed mathematical model demonstrated a strong correlation with the Vertical Dimension of Occlusion. It is a reliable method, uninfluenced by the patient's sex or biotype, and is useful for restoring the VDO within a physiological range close to its original state.

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