Abstract
INTRODUCTION: Up to 60% of cerebral arteriovenous malformations (AVMs) present with an intracranial hemorrhage, however, noninvasive neuroimaging has increasingly diagnosed incidental AVMs. AVM management depends on weighing the lifetime rupture risk against the risks of intervention. Although AVM rupture risk relies primarily on angioarchitectural features, measuring hemodynamic flow is gaining traction. An accurate understanding of AVM hemodynamic flow parameters will help stratify patients by rupture risk and select treatment plans. METHODS: The literature was reviewed for articles that quantified AVM flow. RESULTS: Quantitative digital subtraction angiography (QDSA), 4D spin-labeled magnetic resonance angiography (4D-SL-MRA), and 4D-Flow magnetic resonance imaging (4D-Flow-MRI) studies measure relative flow; 3D phase-contrast MRI (PC-MRI) studies measure relative and true flow; and quantitative MRA (QMRA) studies measure true flow. QDSA studies have correlated increased rupture risk with prolonged venous outflow, however there are mixed findings with respect to arterial inflow. Similarly, a higher AVM inflow-to-outflow ratio has been associated with greater rupture risk in studies using PC-MRI. 4D-SL-MRA studies, on the other hand, have demonstrated a lower time-to-peak draining-vein-to-feeder-artery ratio in patients with AVM rupture. Finally, 4D-Flow-MRI studies have shown inconsistent findings whereas QMRA studies have found no significant associations between AVM hemodynamic flow parameters and rupture risk. CONCLUSIONS: Quantitative hemodynamic studies on the relationship between AVM flow and rupture risk have not reached a clear consensus; however, the preponderance of data suggests that higher arterial inflow and lower venous outflow in the AVM nidus contribute to increased hemorrhagic risk. Future studies should consider using larger sample sizes and standardized definitions of hemodynamic parameters to reach a consensus. In the meantime, classic angioarchitectural features may be more strongly correlated with AVM rupture than the amount of blood flow.
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