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Abstract #1656

Performance of Deterministic and Probabilistic Diffusion Tensor and Q-Ball Corticospinal Tractography in Brain Tumor Patients

Monica Bucci1, Maria Luisa Mandelli2, Jeffrey I. Berman, Bagrat Amirbekian3,4, Christopher Nguyen, Mitchel S. Berger5, Roland G. Henry

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States; 2Department of Neuroradiology, Istituto Neurologico Carlo Besta, Milano, Italy; 3Radiology and Biomedical Imaging, University of California, San Francisco; 4UC Berkeley and UCSF Graduate Program in Bioengineering; 5Department of Neurological Surgery, University of California San Francisco

There are different methods available for fiber tracking but only with few methods it is possible to quantify the accuracy and precision in clinical applications. We used preoperative HARDI data from patients with cerebral glioma to obtain corticospinal fiber tracts with deterministic and probabilistic Diffusion Tensor and Q-Ball fiber tracking algorithms using cortical and subcortical stimulation sites from IES as gold standard. The functional motor sites allows determination of the false negative rate of connectivity, which reflects the accuracy of the tractograms. The subcortical stimulation sites enable determination of the accuracy and precision of the course of the predicted CST.