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Abstract #0282

Multiparametrical diffusion tensor imaging for the detection of anaplastic transformation of low-grade gliomas

Martin Thomas Freitag 1 , Christian Weber 1,2 , Klaus Maier-Hein 1,2 , Franciszek Binczyck 3 , Barbara Bobek-Billewicz 4 , Joanna Polanska 3 , Rafal Tarnawski 4 , and Bram Stieltjes 1

1 Section Quantitative Imaging-based Disease Characterization, Department of Radiology, German Cancer Research Center, Heidelberg, Baden-Wrttemberg, Germany, 2 Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Baden-Wrttemberg, Germany, 3 Silesian University of Technology, Gliwice, Poland, 4 Institute of Oncology, Maria Sklodowska-Curie Memorial Cancer Center, Gliwice, Poland

Here, the value of multiparametrical diffusion-tensor-imaging (DTI) maps was tested for the often difficult detection of recurrent low-grade glioma in 48 adults. At the time point of recurrence, defined by new contrast uptake, hypointense lesions were seen within the T2-hyperintensity zone in fractional anisotropy, axial, mean and radial diffusitivity maps in every patient representing a hypercellular equivalent. Comparing all tensor-derived maps quantitatively, contrast-to-noise and combined sensitivity/specificity was highest for axial diffusitivity to visualize and detect this hypercellularity. DTI acquisitions should be routinely included for the management of low-grade gliomas as axial diffusitivity maps may provide essential additional diagnostic information.

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