Peripharyngeal space tumors: Can magnetic resonance and multidetector-row computed tomography help predict location, malignancy and tumor type?

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Abstract

The goal of this study was to assess the performances of magnetic resonance imaging (MRI) and multidetector-row computed tomography (MDCT) in determining tumor location, suggesting the specific diagnosis of tumors involving the peripharyngeal space and identifying findings suggestive for malignancy using histopathological findings as standard of reference. The MDCT and MRI examinations of 99 patients with a total of 102 tumors located in the retropharyngeal, carotid and parapharyngeal spaces were retrospectively reviewed. MDCT and MRI examinations were independently analyzed for tumor location and specific histological type of tumor. Finally, benign or malignant criteria were evaluated. Agreement between imaging features and final histopathological diagnosis that served as the standard of reference was assessed with the Kappa statistic. Regarding tumor location almost perfect agreement was obtained between imaging findings and histopathological findings (kappaCombining double low line0.86 and 0.92 for MDCT and MRI, respectively). Agreement between the results of imaging and histopathological findings regarding malignancy was substantial for MDCT (KappaCombining double low line0.73), MRI (KappaCombining double low line0.65). A definite histopathological diagnosis was suggested on the basis of imaging findings for 84 tumors and in agreement with the final histopathological diagnosis in 77/84 tumors (92%). MDCT and MRI provide accurate information to localize and characterize peripharyngeal tumors. These two examinations provide complementary data to identify imaging criteria that suggest malignancy.

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Muraz, E., Delemazure, A. S., Mourrain-Langlois, E., Bourget, K., Malard, O., & Frampas, E. (2016). Peripharyngeal space tumors: Can magnetic resonance and multidetector-row computed tomography help predict location, malignancy and tumor type? Diagnostic and Interventional Imaging, 97(6), 617–625. https://doi.org/10.1016/j.diii.2015.09.015

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