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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