Abstract #3002

Magnetic Resonance PWI-Derived Collateral Flow Index Is a Predictor of MCA-M1 Recanalization After Iv Thrombolysis : New Insight Using the Bayesian Method

Francois Nicoli¹, Timothe Boutelier², Fabrice Pautot², Nadine Girard³

¹Medical Affairs, Olea Medical, La Ciotat, Bouches du Rhone, France; ²Research & Innovation, Olea Medical, La Ciotat, Bouches du Rhone, France; ³Neuroradiology, La Timone University Hospital, Marseille, Bouches du Rhone, France

Recently, an index of collateral flow that is predictive of the rate of recanalization of MCA-M1 occlusions in patients treated with IV Thrombolysis (IVT) has been described. This index, named the normalized Collateral Circulation Deficit (nCCD), is based on Tmax maps at different time points (calculated using a block-circulant SVD). To confirm that the nCCD index determined using cSVD is significantly correlated with the speed of the supplying flow inside the MCA territory, we performed a Bayesian estimation of hemodynamic parameters in a cohort of patients with an acute MCA-M1 occlusion. The Bayesian method (BM) is a rigorous probabilistic estimation of hemodynamic parameters. From a quantitative point of view, this method outperforms deconvolution methods (standard, block-circulant or oscillating SVD).