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Abstract #2127

Automated Fiber Quantification Predicts Motor Weakness in Patients Following Resection of Primary and Metastatic Brain Lesions

George Russell Glenn1, Sneha Sai Venkata Ka Mannam2, Chibueze Nwagwu3, Subir Goyal4, Gustavo Pradilla2, Edjah Kweku-Ebura Nduom2, Jeffery James Olson 2, David Painton Bray 2, and Hoang Bojanowski Kimberly2
1Diagnostic Radiology, Emory University, Lilburn, GA, United States, 2Neurosurgery, Emory University, Atlanta, GA, United States, 3College of Medicine, Emory University, Atlanta, GA, United States, 4Biostatistics and Bioinformatics, Emory University, Alanta, GA, United States

Synopsis

Keywords: Tumors, SurgeryPreoperative diffusion tensor imaging (DTI) data was analyzed using Automated Fiber Quantification (AFQ) along the corticospinal tract (CST) for 58 patients undergoing surgical resection of primary or metastatic brain lesions. For each patient, DTI parameters were analyzed along the ipsilateral CST, the side of the pathological lesion, and the contralateral CST, the side opposite the pathological lesion. Patients were then separated based on the presence or absence of postoperative motor weakness. Patients with post operative motor weakness were found to have significantly different diffusion parameters along their ipsilateral CST compared to the ipsilateral CST of patients without postoperative motor weakness.

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