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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