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Abstract #4411

Qualitative and Quantitative Assessment of Arteriovenous Malformation Architecture at 7 Tesla

Bixia Chen1,2, Toshinori Matsushige2,3, Sören Johst1, Stefan Maderwald1, Lale Umutlu1,4, Ulrich Sure2, Harald H Quick1,5, Mark Edward Ladd1,6, and Karsten H Wrede1,2

1Erwin L. Hahn Institute for MRI, University of Duisburg-Essen, Essen, Germany, 2Department of Neurosurgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany, 3Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan, 4Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany, 5High Field and Hybrid MR Imaging, University Hospital Essen, University of Duisburg-Essen, Essen, Germany, 6Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

General advantages of ultra-high-field MRI at 7 T in cerebral arteriovenous malformations (AVM) imaging have been shown recently. This prospective clinical study (10 adult patients) aims to evaluate signal characteristics of AVM feeders, nidus and drainage using 7 T MRI (TOF, MPRAGE, SWI). AVM feeders, nidus and drainage were evaluated by 2 raters. Additionally, AVMs were segmented manually and signal intensity histograms were calculated for the extracted feeders, nidus and drainage, respectively. As previously shown, 7 T MRI has excellent imaging results regarding vessel delineation in AVMs. However, identification of the AVM architecture remains challenging due to signal heterogeneity.

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