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Abstract #0283

Diffusion Tensor Imaging-based Histogram Analysis for detection and quantification of low-grade gliomas structural changes during chemotherapy

Antonella Castellano 1 , Marina Donativi 2 , Roberta Rud 3 , Marco Riva 4 , Giorgio De Nunzio 2 , Antonella Iadanza 1 , Matteo Rucco 5 , Luca Bertero 3 , Lorenzo Bello 4 , Riccardo Soffietti 3 , and Andrea Falini 1

1 Neuroradiology Unit and CERMAC, Universit Vita-Salute San Raffaele and Ospedale San Raffaele, Milan, Italy, 2 A.D.A.M., Advanced Data Analysis in Medicine, University of Salento, Lecce, Italy, 3 Neuro-oncology, Department of Neuroscience and Oncology, University of Torino, Turin, Italy, 4 Neurosurgery, Department of Neurological Sciences, Universit di Milano, Istituto Clinico Humanitas, Milan, Italy, 5 School of Science and Technology, Computer Science Division, University of Camerino, Camerino, MC, Italy

In low-grade gliomas during chemotherapy, changes in Diffusion Tensor Imaging metrics (MD, FA, pure isotropy and pure anisotropy) may be an early signature for Temozolomide response, correlating with clinical response better than conventional MRI criteria: structural changes quantified by DTI-based histogram analysis support the hypothesis of a shrinkage of the tumor in response to chemotherapy, especially at the level of margins of infiltration. Quantitative measures derived from this analysis can improve the monitoring of low-grade gliomas treatment response.

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