Abstract #0399

Quantitative intra-tumoral-susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading

Rupsa Bhattacharjee^1,2, Jaladhar Neelavalli³, Mamta Gupta⁴, Snekha Thakran¹, Dinil Sasi¹, Rakesh Kumar Gupta⁴, and Anup Singh^1,5

¹Center for Biomedical Engineering, Indian Institute of Technology, Delhi, NEW DELHI, India, ²Philips Health Systems, Philips India Limited, Gurugram, India, ³Health Systems, Philips India Limited, Philips Innovation Campus, Bangalore, India, ⁴Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, ⁵Department of Biomedical Engineering, All India Institute of Medical Science, New Delhi, India

Susceptibility-weighted imaging (SWI) improves the diagnostic accuracy by detecting intra-tumoral-susceptibility-signal-intensities (ITSS). Existing semi-quantitative methods are observer-dependent which manually counts intra-tumoral-susceptibility-signal-intensities (ITSS); a combination of haemorrhage and vasculature. Recent reported study uses the R₂^*-relaxivity-maps of ITSS, automatically removes haemorrhages from ITSS based on high- R₂^*-relaxivity of hemorrhage and calculate ITSS-vasculature-volume(IVV) within glioma. Current study evaluates role of QSM for segmentation of ITSS into hemorrhage and vasculature; compute QSM-based-IVV and compare the results with R₂^*-based-IVV for glioma-grading. High-correlation between both these methods is found, QSM-based-IVV can significantly differentiate between grade-II-vs-III and grade-II-vs-IV. For grade-III-vs-IV R₂^*-based-IVV scores better.

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