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Abstract #5030

R2-Star & DCE-Perfusion MRI based Novel Approach for Classification of Intra Tumoral Susceptibility Signal (ITSS) into Haemorrhage, Non-Leaky Vessels and Leaky Vessels in Glioblastoma

Anup Singh1,2, Rupsa Bhattacharjee1,3, Prashant Budania1, Pradeep Kumar Gupta4, Rakesh Kumar Gupta4, and Sunita Ahlawat5

1Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India, 2Biomedical Engineering, AIIMS, New Delhi, Delhi, India, 3Philips Health Systems, Philips India Limited, Gurgaon, India, 4Department of Radiology and Imaging, Fortis Memorial Research Institute, Gurgaon, India, 5SRL Diagnostics, Fortis Memorial Research Institute, Gurgaon, India

Susceptibility-weighted-imaging (SWI) demonstrates intra-tumoral-susceptibility-signal (ITSS) which could be a combination of haemorrhage and vasculature. True biological classification is necessary to understand the tumor-viability, aggressiveness and angiogenesis. This study develops a novel quantitative approach which combines SWI, R2-Star-relaxivity and DCE-MRI parameters for segmenting ITSS and its further classification into biological-behavior-based sub-categories. After analysis of 128 ITSS from 25 high-grade-glioblastoma patients, we found haemorrhages have higher R2-Star and lower rCBV values compared-to vessel ITSS. Leakage parameter Ve from tracer-kinetic analysis is found as differentiator between leaky and non-leaky-vessels. Proposed approach enables automatic-classification of ITSS into haemorrhage, non-leaky (passive) and leaky (aggressive) vessels.

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