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Using 3 Tesla magnetic resonance imaging in the pre-operative evaluation of tongue carcinoma

Published online by Cambridge University Press:  07 July 2017

K F Moreno ,
R S Cornelius ,
F V Lucas ,
J Meinzen-Derr  and
Y J Patil
K F Moreno
Affiliation:
Department of Otolaryngology Head and Neck Surgery, University of Cincinnati Medical Center College of Medicine; Ohio, USA
R S Cornelius
Affiliation:
Department of Radiology, University of Cincinnati Medical Center College of Medicine; Ohio, USA
F V Lucas
Affiliation:
Department of Pathology, University of Cincinnati Medical Center College of Medicine; Ohio, USA
J Meinzen-Derr
Affiliation:
Department of Otolaryngology Head and Neck Surgery, University of Cincinnati Medical Center College of Medicine; Ohio, USA
Y J Patil*
Affiliation:
Department of Otolaryngology Head and Neck Surgery, University of Cincinnati Medical Center College of Medicine; Ohio, USA
*
Address for correspondence: Dr Y Patil, Department of Otolaryngology Head and Neck Surgery, University of Cincinnati College of Medicine, ML 0528 Cincinnati, Ohio, USA Fax: +1 513 558 4477 E-mail: yash.patil@uc.edu
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Abstract

Objective:

This study aimed to evaluate the role of 3 Tesla magnetic resonance imaging in predicting tongue tumour thickness via direct and reconstructed measures, and their correlations with corresponding histological measures, nodal metastasis and extracapsular spread.

Methods:

A prospective study was conducted of 25 patients with histologically proven squamous cell carcinoma of the tongue and pre-operative 3 Tesla magnetic resonance imaging from 2009 to 2012.

Results:

Correlations between 3 Tesla magnetic resonance imaging and histological measures of tongue tumour thickness were assessed using the Pearson correlation coefficient: r values were 0.84 (p < 0.0001) and 0.81 (p < 0.0001) for direct and reconstructed measurements, respectively. For magnetic resonance imaging, direct measures of tumour thickness (mean ± standard deviation, 18.2 ± 7.3 mm) did not significantly differ from the reconstructed measures (mean ± standard deviation, 17.9 ± 7.2 mm; r = 0.879). Moreover, 3 Tesla magnetic resonance imaging had 83 per cent sensitivity, 82 per cent specificity, 82 per cent accuracy and a 90 per cent negative predictive value for detecting cervical lymph node metastasis.

Conclusion:

In this cohort, 3 Tesla magnetic resonance imaging measures of tumour thickness correlated highly with the corresponding histological measures. Further, 3 Tesla magnetic resonance imaging was an effective method of detecting malignant adenopathy with extracapsular spread.

Keywords

Mouth NeoplasmsMagnetic Resonance ImagingTongue NeoplasmsHead and Neck NeoplasmsLymphadenopathyLymph Nodes
Type
Main Articles
Information
The Journal of Laryngology & Otology , Volume 131 , Issue 9 , September 2017 , pp. 793 - 800
Copyright
Copyright © JLO (1984) Limited 2017 

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