Abstract #4855

Characterization of Active and Infiltrative Tumorous Subregions from Normal Tissue in Brain Gliomas Using Multi-Parametric MRI

Anahita Fathi Kazerooni¹, Mahnaz Nabil², Mohammadreza Alviri¹, Mehdi Zeinalizadeh³, Kavous Firouznia⁴, Farid Azmoudeh-Ardalan⁵, and Hamidreza Saligheh Rad¹

¹Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), ²Department of Statistics, Faculty of Mathematical Science, University of Guilan, Rasht, Iran (Islamic Republic of), ³Department of Neurological Surgery, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), ⁴Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), ⁵Department of Pathology, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of)

In this preliminary work, a variety of MRI techniques, including conventional high-resolution T1-weighted, T2-weighted, and T2-FLAIR, as well as quantitative techniques comprising of T2-relaxometry, DWI, DTI, DSC-MRI, and IVIM derived features were acquired from patients with gliomas. The features extracted from the mentioned images were explored for their potential in stratification of histopathologically-approved samples, labelled as active tumor, infiltrative glioma (edema) and normal brain tissue. Furthermore, the most accurate combination of the features for discrimination of tissue subregions was generated through a machine learning technique.

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