Paulino V, Paredes V, Gandia J L, Cibrian R
Department of Orthodontics, Faculties of Medicine and Odontology, University of Valencia, Spain.
Eur J Orthod. 2008 Jun;30(3):295-8. doi: 10.1093/ejo/cjm115. Epub 2008 Feb 8.
Arch length (AL), intercanine width (ICW), and intermolar width (IMW) are essential for diagnosis and treatment planning and are closely related factors in orthodontics. The aim of the present study was to determine correlations between these measurements and to predict some of these measurements based on others. The dental casts of 197 Spanish patients (119 females and 78 males) with a mean age of 18 years (11-26 years) in the permanent dentition attending the Orthodontic Department of the University of Valencia, Spain, were selected. ICW, IMW, and AL on each dental cast were measured using a previously tested digital method. Correlation between variables was determined using Pearson's correlation coefficient. Linear regression analysis was applied and the 95 per cent confidence intervals (CIs) for slope and intercept were determined. The data showed very high correlations between ICW and AL, both for the upper and lower arches and for males and females, r = 0.925. This coefficient was very close to 1, indicating a linear relationship. The regression equation for AL and ICW was AL = 1.36 ICW + 29.39 for both arches. There was very high correlations between AL and ICW for the upper and lower arches and a regression equation between both magnitudes was established indicating that the size of one factor can be predicted by knowing the other. For an increase of 1 mm in ICW, the AL increases approximately 1.36 mm with a 95 per cent CI (1.30-1.42).
牙弓长度(AL)、尖牙间宽度(ICW)和磨牙间宽度(IMW)对诊断和治疗计划至关重要,且在正畸学中是密切相关的因素。本研究的目的是确定这些测量值之间的相关性,并基于其他测量值预测其中一些测量值。选取了西班牙巴伦西亚大学正畸科197名恒牙列患者(119名女性和78名男性)的牙模,平均年龄为18岁(11 - 26岁)。使用先前经过测试的数字方法测量每个牙模上的ICW、IMW和AL。使用Pearson相关系数确定变量之间的相关性。应用线性回归分析并确定斜率和截距的95%置信区间(CIs)。数据显示,无论是上牙弓还是下牙弓,以及男性和女性,ICW与AL之间均存在高度相关性,r = 0.925。该系数非常接近1,表明存在线性关系。两个牙弓的AL和ICW的回归方程均为AL = 1.36 ICW + 29.39。上牙弓和下牙弓的AL与ICW之间存在高度相关性,并建立了两者之间的回归方程,这表明通过了解另一个因素的大小可以预测其中一个因素的大小。ICW每增加1毫米,AL大约增加1.36毫米,95%置信区间为(1.30 - 1.42)。