Accuracy of susceptibility-weighted imaging for the detection of arteriovenous shunting in vascular malformations of the Brain

Bharathi D. Jagadeesan, Josser E Delgado Almandoz, Christopher J. Moran, Tammie L S Benzinger

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48 Scopus citations

Abstract

Background and Purpose-To determine the accuracy of susceptibility-weighted MRI (SWI) for the detection of arteriovenous shunting (AVS) in vascular malformations of the brain (BVM). Methods-We retrospectively identified 60 patients who had been evaluated for known or suspected BVM by both SWI and digital subtraction angiography, without intervening treatment, during a 3-year period. SWI images were retrospectively assessed by 2 independent reviewers for the presence of AVS as determined by the presence of signal hyperintensity within a venous structure in the vicinity of the BVM. Discrepancies were resolved by consensus among a panel of 3 neuroradiologists. Accuracy parameters of SWI for the detection of AVS were calculated using digital subtraction angiography as the reference standard. Results-A total of 80 BVM were identified in the 60 patients included in our study. Of the 29 BVM with AVS on digital subtraction angiography, 14 were untreated arteriovenous malformations, 10 were previously treated arteriovenous malformations, and 5 were untreated dural arteriovenous fistulas. Overall, SWI was 93% sensitive and 98% specific for the detection of AVS in BVM, with excellent interobserver agreement (κ=0.94). In the 14 previously treated arteriovenous malformations, SWI was 100% sensitive and specific for the detection of AVS. In the 28 BVM associated with intracerebral hemorrhage, SWI was 100% sensitive and 96% specific for the detection of AVS. Conclusions-SWI is accurate for the detection of arteriovenous shunting in vascular malformations of the brain and, for some patients, SWI may offer a noninvasive alternative to angiography in screening for or follow-up of treated BVM.

Original languageEnglish (US)
Pages (from-to)87-92
Number of pages6
JournalStroke
Volume42
Issue number1
DOIs
StatePublished - Jan 2011

Bibliographical note

Funding Information:
Received on December 28, 2005. Supported by the National Natural Science Foundation of China(No. 40171065), Natural Science Foundation of Zhejiang, China(No. 302395). XU Junfeng, Ph. D candidate, Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310029,China. E-mail ; J uMeng_xu(~ 163. com

Keywords

  • Arteriovenous malformation
  • Arteriovenous shunting
  • Developmental venous anomalies
  • Susceptibility-weighted imaging

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