Abstract #4411

Qualitative and Quantitative Assessment of Arteriovenous Malformation Architecture at 7 Tesla

Bixia Chen^1,2, Toshinori Matsushige^2,3, Sören Johst¹, Stefan Maderwald¹, Lale Umutlu^1,4, Ulrich Sure², Harald H Quick^1,5, Mark Edward Ladd^1,6, and Karsten H Wrede^1,2

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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