Abstract #2101

Quantitative Parameters of Diffusion Spectrum Imaging: Prediction of Severe Neurologic Deficits at Discharge in Acute Ischemic Stroke Patients

Peirong Jiang¹, Xiuzhu Xu¹, Yanping Zheng¹, Jialin Chen², Peng Wu³, and Yunjing Xue¹

¹Radiology, Fujian Medical University Union Hospital, Fuzhou, China, ²Neurology, Fujian Medical University Union Hospital, Fuzhou, China, ³Philips Healthcare, Shanghai, China

Synopsis

Keywords: Stroke, Ischemia, Neurologic deficits

This study explores the value of quantitative parameters derived from diffusion spectrum imaging (DSI) in distinguishing between mild (NIHSS score ≤ 5) and severe (NIHSS score > 5) neurologic deficits at discharge in DWI positive acute ischemic stroke (AIS) patients. The method is to compare conventional diffusion and DSI parameters of acute infarction between the two groups. Our research shows DKI_AK, DKI_MKT, DKI_RK, MAP_RTPP and NODDI_ICVF can predict poor neural function outcome at discharge, with NODDI_ICVF demonstrates the highest diagnostic performance. DSI is a promising approach in detecting microstructural brain tissue changes in acute infarction lesion.

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