Department of Orthodontics, University of Liège, Liège, Belgium.
Eur J Orthod. 2010 Aug;32(4):381-6. doi: 10.1093/ejo/cjp105. Epub 2009 Nov 9.
The aim of this study was to measure lingual volume and to correlate it with and predict it from the area of the radiographic shadow of the tongue as well as with demographic and biometric characteristics. In 70 healthy subjects (35 males and 35 females) aged between 20 and 37 years, tongue volume was determined using magnetic resonance imaging (MRI). Volumes were correlated with the area of the tongue on the sagittal plane determined from the lingual shadow on profile cephalometric radiographs. Demographic and biometric characteristics were also available for each subject. The mean lingual volume was 79.5 +/- 14.2 cm(3) and was gender dependent. The mean lingual volume was 89.9 +/- 11.5 and 68.9 +/- 7.0 cm(3) in males and females, respectively. Correlations between tongue volume and body height, weight, and the body mass index (BMI) were highly significant. A strong correlation (r = 0.83, P < 0.001) was found between lingual volume measured using MRI and the radiographically determined area of the lingual shadow. The associated regression line allowed the area of the lingual shadow to be used to estimate the corresponding tongue volume in individual subjects. Multiple regression analysis showed that lingual volume was best predicted by the lingual shadow, gender, age, and BMI (R(2) = 0.80).
本研究旨在测量舌体积,并将其与舌影的面积相关联和预测,以及与人口统计学和生物测量特征相关联和预测。在 70 名年龄在 20 至 37 岁之间的健康受试者(35 名男性和 35 名女性)中,使用磁共振成像(MRI)确定舌体积。体积与从侧位头颅侧位片上的舌阴影确定的矢状平面上的舌面积相关联。每个受试者还提供了人口统计学和生物测量特征。舌平均体积为 79.5 +/- 14.2 cm(3),且与性别相关。男性和女性的平均舌体积分别为 89.9 +/- 11.5 和 68.9 +/- 7.0 cm(3)。舌体积与身高、体重和体重指数(BMI)之间存在高度显著的相关性。MRI 测量的舌体积与放射线确定的舌影面积之间存在很强的相关性(r = 0.83,P < 0.001)。相关回归线允许使用放射线确定的舌影面积来估计个体受试者的相应舌体积。多元回归分析表明,舌体积最佳预测指标为舌影、性别、年龄和 BMI(R(2) = 0.80)。