Literature DB >> 15753871

[Visualization of the lower cranial nerves by 3D-FIESTA].

Yusuke Okumura1, Masayuki Suzuki, Akihiro Takemura, Hideo Tsujii, Kazuhiro Kawahara, Yukihiro Matsuura, Tadanori Takada.   

Abstract

MR cisternography has been introduced for use in neuroradiology. This method is capable of visualizing tiny structures such as blood vessels and cranial nerves in the cerebrospinal fluid (CSF) space because of its superior contrast resolution. The cranial nerves and small vessels are shown as structures of low intensity surrounded by marked hyperintensity of the CSF. In the present study, we evaluated visualization of the lower cranial nerves (glossopharyngeal, vagus, and accessory) by the three-dimensional fast imaging employing steady-state acquisition (3D-FIESTA) sequence and multiplanar reformation (MPR) technique. The subjects were 8 men and 3 women, ranging in age from 21 to 76 years (average, 54 years). We examined the visualization of a total of 66 nerves in 11 subjects by 3D-FIESTA. The results were classified into four categories ranging from good visualization to non-visualization. In all cases, all glossopharyngeal and vagus nerves were identified to some extent, while accessory nerves were visualized either partially or entirely in only 16 cases. The total visualization rate was about 91%. In conclusion, 3D-FIESTA may be a useful method for visualization of the lower cranial nerves.

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Year:  2005        PMID: 15753871     DOI: 10.6009/jjrt.kj00003326668

Source DB:  PubMed          Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi        ISSN: 0369-4305


  2 in total

Review 1.  [Anatomy of the skull base and the cranial nerves in slice imaging].

Authors:  A Bink; J Berkefeld; F Zanella
Journal:  Radiologe       Date:  2009-07       Impact factor: 0.635

Review 2.  Tractography for Surgical Neuro-Oncology Planning: Towards a Gold Standard.

Authors:  Sandip S Panesar; Kumar Abhinav; Fang-Cheng Yeh; Timothée Jacquesson; Malie Collins; Juan Fernandez-Miranda
Journal:  Neurotherapeutics       Date:  2019-01       Impact factor: 7.620

  2 in total

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