Hypoglossal canal invasion by glomus jugulare tumors: Clinico-radiological correlation

Merve Gursoy, Emanuele Orru, Ari M Blitz, John P Carey, Alessandro Olivi, David Mark Yousem

Research output: Contribution to journalArticle

Abstract

The aim of this retrospective study is to assess the rate at which glomus jugulare tumors invade the hypoglossal canal (HC) and to correlate computed tomography (CT) and magnetic resonance imaging (MRI) findings with the clinical evidence of cranial nerve (CN) XII dysfunction. CT and MRI imaging modalities of 31 patients were blindly reviewed by an attending neuroradiologist. Imaging studies identified involvement in 22 tumors (22/31, 71.0%). Thirteen of 22 patients (59.1%) had clinically evident CN XII symptoms. Accuracy rate was 76.7% (23/30) for MRI and 78.6% (11/14) for CT. MRI showed 100% sensitivity but had only 59% specificity and the specificity for CT was 66.7%. When radiologists elucidate HC involvement, it may alter the surgical approach and may lead to more focused/accurate clinical evaluation of tongue function.

Original languageEnglish (US)
Pages (from-to)655-658
Number of pages4
JournalClinical Imaging
Volume38
Issue number5
DOIs
StatePublished - 2014

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Glomus Jugulare Tumor
Tomography
Magnetic Resonance Imaging
Hypoglossal Nerve
Tongue
Retrospective Studies
Neoplasms

Keywords

  • Computed tomography
  • Glomus jugulare
  • Hypoglossal canal
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Medicine(all)

Cite this

Hypoglossal canal invasion by glomus jugulare tumors : Clinico-radiological correlation. / Gursoy, Merve; Orru, Emanuele; Blitz, Ari M; Carey, John P; Olivi, Alessandro; Yousem, David Mark.

In: Clinical Imaging, Vol. 38, No. 5, 2014, p. 655-658.

Research output: Contribution to journalArticle

Gursoy, Merve ; Orru, Emanuele ; Blitz, Ari M ; Carey, John P ; Olivi, Alessandro ; Yousem, David Mark. / Hypoglossal canal invasion by glomus jugulare tumors : Clinico-radiological correlation. In: Clinical Imaging. 2014 ; Vol. 38, No. 5. pp. 655-658.
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