Abstract #0858

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

Jan Brabec¹, Filip Szczepankiewicz^2,3,4, Patrik Brynolfsson⁵, Lampinen Björn¹, Faris Durmo⁴, Anna Rydelius⁶, Linda Knutsson^1,7, Pia Sundgren^4,8, 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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