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Abstract #4605

A Hybrid-Two-Compartmental-Model for the Blood-Brain-Barrier Assessment of Glioma Patients

Dinil Sasi S1, Rakesh Kumar Gupta2, Rana Patir2, Suneeta Ahlawat2, and Anup Singh1,3
1Center for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Fortis Memorial Research Institute, Gurugram, India, 3All India Institute of Medical Sciences New Delhi, New Delhi, India


Dynamic-contrast-enhanced (DCE)-MRI has shown wide potential in characterizing brain tumor. Conventionally, generalized-tracer-kinetic-model (GTKM) and Patlak-model (PM) have been widely used in clinics to characterize the blood-brain-barrier (BBB) integrity of the tumor. However, PM is recommended for DCE-MRI data with shorter duration (less than 1 minute) and GTKM may overfit in non-enhancing and normal tissues causing erroneous estimation of extra-vascular volume fraction (ve). So, the current study proposes a hybrid tissue depended model with maximum 2 model fitting parameters by combining GTKM and PM depending on underlying tissue. Proposed model has outperformed GTKM in all tissue regions.

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