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Abstract #2537

DCE-MRI Based Differentiation of Glioblastomas, Diffused Midline Gliomas, and Grade-3 Gliomas: Impact of Large Blood Vessel Removal

Anshika Kesari1, Rakesh Kumar Gupta2, and Anup Singh1,3,4
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 3Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India, 4Yardi School of Artificial Intelligence, IIT Delhi, New Delhi, India

Synopsis

Keywords: Tumors (Post-Treatment), Analysis/Processing, Diffuse Midline Glioma

Motivation: High-grade gliomas (GBM, G3, and DMG) present diagnostic challenges due to overlapping features in conventional imaging, necessitating advanced MRI techniques for accurate differentiation.

Goal(s): To evaluate role of dynamic contrast enhanced (DCE)-MRI derived quantitative parameters for differentiating high-grade glioma types while removing non-tumoral large vasculature within tumors.

Approach: Analyzed 112 HGG patients using quantitative DCE-MRI parameters maps. Non-tumoral large vasculature within tumors was automatically removed from these maps followed by statistical analysis over tumor lesion before and after removal of vasculature.

Results: The removal of non-tumoral large vasculature enhanced accuracy of glioma differentiation among high grade glioma types GBM, DMG and G3.

Impact: Proposed approach based on quantitative DCE-MRI parameters after removal of non-tumoral large vasculature provided enhanced accuracy of differentiating among high grade gliomas, which has potential in improving diagnostic precision and treatment planning.

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Keywords