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Abstract #4306

Assessment of structural connectivity matrices sensitivity to tractography termination criteria in glioma patients

Maria Colpo1, Erica Silvestri1,2,3, Umberto Villani1,2, Domenico D'Avella3, Alessandro Della Puppa4, Diego Cecchin2,5, Maurizio Corbetta2,3, and Alessandra Bertoldo1,2
1Department of Information Engineering, University of Padova, Padova, Italy, 2Padova Neuroscience Center, University of Padova, Padova, Italy, 3Department of Neuroscience, University of Padova, Padova, Italy, 4Department of Neurosurgery, University of Firenze, Firenze, Italy, 5Department of Medicine, Unit of Nuclear Medicine, University of Padova, Padova, Italy

Varying termination criteria values of tractography algorithms produce tangible effects on the reconstructed tractograms. While these effects are extensively documented in the state-of-the-art literature for healthy subjects, little is known about streamline reconstruction differences in presence of brain tumours. In this work we apply a statistical framework to assess the impact of the cut-off value on the resulting structural connectivity matrices in 11 patients suffering from gliomas. Results show how varying the cut-off value in the studied range does not produce significant changes in the matrix structure, thus validating literature recommendations for healthy subjects in the case of glioma patients.

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