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

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 (CBF1-compartment, CBF2-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 CBF1-compartment, CBF2-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.