Abstract #1002

B-tensor encoding in meningiomas: Comparisons with histology, microimaging and tumor consistency

Jan Brabec¹, Filip Szczepankiewicz^1,2,3, Elisabeth Englund⁴, Johan Bengzon⁵, Linda Knutsson^1,6, Carl-Fredrik Westin^2,3, Pia C Sundgren^7,8, and Markus Nilsson⁷

¹Medical Radiation Physics, Lund University, Lund, Sweden, ²Laboratory of Mathematics in Imaging, Harvard Medical School, Boston, MA, United States, ³Radiology, Brigham and Women's Hospital, Boston, MA, United States, ⁴Oncology and Pathology, Clinical Sciences, Lund University, Skåne University Hospital, Lund, Sweden, ⁵Neurosurgery, Clinical Sciences, Lund University, Skåne University Hospital, Lund, Sweden, ⁶Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁷Diagnostic Radiology, Clinical Sciences, Lund University, Lund, Sweden, ⁸Lund University Bioimaging Center, Lund University, Lund, Sweden

B-tensor encoding enables a mapping of novel dMRI parameters such as microscopic anisotropy and tissue heterogeneity which are sensitive to elongated cell structures and heterogeneity in cell density, respectively. We applied b-tensor encoding to patients with meningioma tumors and compared the imaging findings to the histological type and grade as well as to the tumor consistency determined during surgery. Results show that microcystic/angiomatous meningiomas could be differentiated, and tumor consistency linked both to tissue heterogeneity and microscopic anisotropy and that tumor heterogeneity could provide additional contrast.

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