Identification of the distal dural ring with use of fusion images with 3D-MR cisternography and MR angiography: Application to paraclinoid aneurysms

Y. Watanabe, T. Nakazawa, N. Yamada, M. Higashi, T. Hishikawa, S. Miyamoto, H. Naito

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Background and Purpose: The distal dural ring (DDR) represents the anatomic border between the extradural and intradural internal carotid arteries (ICAs). The purpose of this study was to examine whether 3D-MR cisternography and MR angiography (MRA) fusion images can identify the boundary between the CSF and the cavernous sinus, which might represent the DDR. MATERIALS AND METHODS: Thirty-six consecutive patients with 39 ICA aneurysms were examined with use of MR fusion images with 3D-cisternography and MRA on a 1.5T unit. Two neuroradiologists evaluated the configuration of the carotid cave and the location of the aneurysms on fusion images and classified them as intradural, transdural, and extradural aneurysms. Results: The borderline between the CSF and the cavernous sinus was visualized on fusion images in all patients. The carotid cave configuration in 72 ICAs was classified as having no dent (n = 31), a shallow dent (n = 27), and a deep dent (n = 14). The MR fusion images led to the classification of 39 ICA aneurysms as 21 intradural, 6 transdural, and 12 extradural. The interobserver agreement of MR fusion images was excellent (κ = 0.80). Conclusions: Fusion images with 3D-cisternography and MRA yielded clear visualization of the boundary between the suprasellar cistern and cavernous sinus indicating the DDR. This imaging technique may provide additional information in consideration of a treatment option for paraclinoid aneurysms.

Original languageEnglish
Pages (from-to)845-850
Number of pages6
JournalAmerican Journal of Neuroradiology
Volume30
Issue number4
DOIs
Publication statusPublished - Apr 2009
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

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