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Abstract #0858

B-tensor encoding in gliomas: improved tumor grading by the isotropic kurtosis

Jan Brabec1, Filip Szczepankiewicz2,3,4, Patrik Brynolfsson5, Lampinen Björn1, Faris Durmo4, Anna Rydelius6, Linda Knutsson1,7, Pia Sundgren4,8, and Markus Nilsson4
1Clinical Sciences Lund, Medical Radiation Physics, Lund University, Lund, Sweden, 2Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Clinical Sciences Lund, Diagnostic Radiology, Lund University, Lund, Sweden, 5Dept. of Translational Medicine, Division of Medical Radiation Physics, Lund University, Lund, Sweden, 6Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden, 7Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 8Lund University Bioimaging Center, Lund University, Lund, Sweden

B-tensor encoding enables mapping of the isotropic and anisotropic components of the diffusional kurtosis, which are sensitive to cell eccentricity and variance in cell density, respectively. We measured the kurtosis components in patients with glioma tumors and explored their ability to improve tumor classification. Results showed that the addition of isotropic kurtosis improves the ability to distinguish low- and high-grade gliomas compared with using post-Gd T1w enhancements alone. Also, non-enhancing glioblastomas and oligodendrogliomas could be distinguished based on the within-tumor standard deviation of the isotropic kurtosis.

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