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A Novel Quantification Method for Determining Previously Undetected Silent Infarcts on MR-perfusion in Patients Following Carotid Endarterectomy

Liu, Xin; Imielinska, Celina Z.; Rosiene, Joel; Rampersad, Anita; Wilson, David; Zurica, Joseph; Halazun, Hadi; Williams, Susan C.; Ligneli, Angela; D'Ambrosio, Anthony Louis; Sughrue, Michael; Connolly Jr., E. Sander; Heyer, Eric J.

The purpose of this paper is to evaluate the post-operative Magnetic Resonance Perfusion (MRP) scans of patients undergoing carotid endarterectomy (CEA), using a novel image-analysis algorithm, to determine if post-operative neurocognitive decline is associated with cerebral blood flow changes. CEA procedure reduces the risk of stroke in appropriately selected patients with significant carotid artery stenosis. However, 25% of patients experience subtle cognitive deficits after CEA compared to a control group. It was hypothesized that abnormalities in cerebral blood flow (CBF) are responsible for these cognitive deficits. A novel algorithm for analyzing MRperfusion (MRP) scans to identify and quantify the amount of CBF asymmetry in each hemisphere was developed and to quantify the degree of relative difference between three corresponding vascular regions in the ipsilateral and contralateral hemispheres, the Relative Difference Map (RDM). Patients undergoing CEA and spine surgery (controls) were examined preoperatively, and one day postoperatively with a battery of neuropsychometric (NPM) tests, and labeled “injured” patients with significant cognitive deficits, and “normal” if they demonstrated no decline in neurocognitive function. There are apparently significant RDM differences with MRP scans between the two hemispheres in patients with cognitive deficits which can be used to guide expert reviews of the imagery. The proposed methodology aids in the analysis of MRP parameters in patients with cognitive impairment.

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Also Published In

Title
Medical Imaging 2005: Image Processing
Publisher
SPIE
DOI
https://doi.org/10.1117/12.596623

More About This Work

Academic Units
Biomedical Informatics
Computer Science
Neurological Surgery
Anesthesiology
Radiology
Series
Proceedings of SPIE, 5747
Published Here
September 29, 2014