Abstract #2531

MR Fingerprinting perfusion imaging in acute ischemic stroke: predictive utility for neurological outcomes

Zhiyi Hu¹, Amelia Tenberg², Dengrong Jiang³, Wen Shi¹, Argye E. Hillis³, Mona Bahouth³, Vivek Yedavalli³, and Hanzhang Lu^1,3,4

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

Synopsis

Keywords: Stroke, Stroke

Motivation: IV-tPA and mechanical thrombectomy are commonly used therapies in acute ischemic stroke (AIS). However, their therapy efficacy varies considerably across patients.

Goal(s): To assess the utility of MR Fingerprinting (MRF)-ASL in predicting neurological outcomes following reperfusion therapy in AIS patients.

Approach: Fourteen patients were scanned on 3T MRI. MRF-ASL-derived parameters included cerebral blood flow (CBF_{1-compartment}, CBF_{2-compartment}), arterial cerebral volume (aCBV) and bolus arrival time (BAT). Improvements in NIH stroke scale (NIHSS) from admission to discharge were the outcome.

Results: Shorter BAT, elevated aCBV in the stroke tissue and higher CBF in collateral voxels can predict greater improvements in NIHSS.

Impact: Our results suggested that non-contrast MRF-ASL perfusion imaging offers a comprehensive insight into perfusion dynamics and may be predictive of neurological outcomes after reperfusion therapy in AIS.

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