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The European Journal of Orthodontics Advance Access published online on November 9, 2009
The European Journal of Orthodontics, doi:10.1093/ejo/cjp105
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© The Author 2009. Published by Oxford University Press on behalf of the European Orthodontic Society. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org.

Comparison between tongue volume from magnetic resonance images and tongue area from profile cephalograms

Fabrice Liégeois*, Adelin Albert** and Michel Limme*

* Department of Orthodontics
** Department of Biostatistics, University of Liège, Belgium

Address for correspondence Fabrice Liégeois, Department of Orthodontics, University of Liège, Quai G. Kurth, , 45, B-4020 Liège, Belgium, E-mail: liegeois.fabrice{at}belgacom.net


  Abstract

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 cm3 and was gender dependent. The mean lingual volume was 89.9 ± 11.5 and 68.9 ± 7.0 cm3 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 (R2 = 0.80).


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