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Abstract #0399

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

Rupsa Bhattacharjee1,2, Jaladhar Neelavalli3, Mamta Gupta4, Snekha Thakran1, Dinil Sasi1, Rakesh Kumar Gupta4, and Anup Singh1,5

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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