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Abstract #1914

Identifying texture features that may serve as bio-markers of various subgroups of glioblastoma segmented using T1-perfusion MRI

Suhail Pathan Parvaze1, Mamta Gupta2, Anup Singh3, Rana Patir4, Sunita Ahlawat2, Madhura Ingalhalikar5, Neha Vats3, and Rakesh Kumar Gupta2
1Philips Innovation Campus, Bangalore, India, 2Fortis Memorial Research Institute, Gurgaon, India, 3Indian Institute of Technology, New Delhi, India, 4Department of Neurosurgery, Fortis Memorial Research Institute, Gurgaon, India, 5Symbiosis Center for Medical Image analysis, Symbiosis International University, Pune, India

This work aimed at identifying radiomic signatures that discriminate glioblastoma sub-regions ( enhancing tumor, non-enhancing, necrosis and edema) using DCE T1 perfusion based post contrast MRI. Results demonstrated texture features that delineate the four regions as well as separate the tumoral region from normative white matter. These radiomic signatures can be further investigated to gain deeper understanding of tumor progression and recurrence.

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