Abstract #1636

Simultaneous Multiparametric Estimation of Arteriovenous Malformations Hemodynamics Using MR Fingerprinting ASL (MRF-ASL)

Zhiyi Hu¹, Dengrong Jiang², Wen Shi¹, Dhairya A. Lakhani², Risheng Xu³, Judy Huang³, Kambiz Nael⁴, Hanzhang Lu^1,2,5, and Vivek Yedavalli²

¹Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁴David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, ⁵F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States

Synopsis

Keywords: Blood Vessels, Perfusion, Arteriovenous malformations

Motivation: Hemodynamic characterization of arteriovenous malformations (AVM) is crucial for treatment planning and follow-up but was insufficiently investigated.

Goal(s): To evaluate the feasibility of MR Fingerprinting (MRF)-ASL in assessing AVM hemodynamics and compare its AVM detection sensitivity with pseudo-continuous ASL (pCASL).

Approach: 7 patients were studied. MRF-ASL-derived parameters including cerebral blood flow (CBF_{1-compartment}, CBF_{2-compartment}), arterial cerebral volume (aCBV) and bolus arrival time (BAT), along with pCASL CBF were assessed and correlated with Spetzler-Martin grades.

Results: MRF-ASL exhibited superior AVM detection sensitivity over pCASL, with elevated CBF_{1-compartment}, CBF_{2-compartment}, aCBV, and shortened BAT in AVM nidus. aCBV correlated positively with SM grades.

Impact: MRF-ASL enables detailed, non-invasive assessment of AVM hemodynamics, demonstrating superior sensitivity over pCASL for detecting high-flow AVM regions. Elevated aCBV values correlated with Spetzler-Martin grades, highlighting MRF-ASL's potential as a valuable tool for AVM treatment planning and monitoring.

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