Abstract #2525

Use of Multi-Modal Non-Contrast MRI to Predict Functional Outcomes after Stroke: a study using DP-pCASL, DTI, NODDI, and MAP MRI

Julia Diamandi¹, Christian Raimondo², Keenan Piper², Joanna Roy², Mahdi Alizadeh², Adam Flanders², Stavropoula Tjoumakaris², Reid Gooch², Pascal Jabbour², Robert Rosenwasser², and Nikolaos Mouchtouris³

¹University of Pittsburgh School of Medicine, Pittsburgh, PA, United States, ²Jefferson Health, Philadelphia, PA, United States, ³Case Western Reserve University, Cleveland, OH, United States

Synopsis

Keywords: Stroke, Ischemia

Motivation: There is a limited understanding of how k_w variability after acute ischemic stroke
(AIS) impacts recovery.

Goal(s): This study aims to determine the relationship between k_w and functional outcomes
measured by the modified Rankin scale (mRS) in the AIS population.

Approach: 22 AIS patients enrolled from 1/2022 to 4/2024 underwent DP-pCASL, DTI,
NODDI and MAP imaging on a 3.0-Tesla scanner.

Results: Multivariable linear regression identified lower k_w, higher time to MRI and larger stroke
volume as predictive of higher mRS. Higher CBF, QMSD, and RTAP, and lower SD RTAP,
RTPP, and NG were most predictive of k_w.

Impact: This study demonstrates k_w‘s potential as a functional outcome predictor in patients with AIS.CBF, QMSD, and RTAP, SD RTAP and NG were predictors of k_w. Larger studies are needed tounderstand these relationships and k_w‘s usefulness in clinic settings.

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