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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