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 Singh^1,2, Rupsa Bhattacharjee^1,3, 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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.