CT angiography-based collateral flow and time to reperfusion are strong predictors of outcome in endovascular treatment of patients with stroke

Fabrizio Sallustio; Caterina Motta; Silvia Pizzuto; Marina Diomedi; Angela Giordano; Vittoria Carla D'Agostino; Domenico Samà; Salvatore Mangiafico; Valentina Saia; Jacopo Maria Legramante; Daniel Konda; Enrico Pampana; Roberto Floris; Paolo Stanzione; Roberto Gandini; Giacomo Koch

doi:10.1136/neurintsurg-2016-012628

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Ischemic stroke

Original research

CT angiography-based collateral flow and time to reperfusion are strong predictors of outcome in endovascular treatment of patients with stroke

Authors

Fabrizio Sallustio Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy Santa Lucia Foundation, Rome, Italy PubMed articles Google scholar articles
Caterina Motta Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy Santa Lucia Foundation, Rome, Italy PubMed articles Google scholar articles
Silvia Pizzuto Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Marina Diomedi Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Angela Giordano Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Vittoria Carla D'Agostino Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Domenico Samà Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Salvatore Mangiafico Interventional Neuroradiology Unit, Heart and Vessels Department, Careggi University Hospital, Florence, Italy PubMed articles Google scholar articles
Valentina Saia Department of Neuroscience, Careggi University Hospital, Florence, Italy PubMed articles Google scholar articles
Jacopo Maria Legramante Emergency Department, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Daniel Konda Interventional Radiology and Neuroradiology, Department of Diagnostic Imaging, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Enrico Pampana Interventional Radiology and Neuroradiology, Department of Diagnostic Imaging, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Roberto Floris Interventional Radiology and Neuroradiology, Department of Diagnostic Imaging, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Paolo Stanzione Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Roberto Gandini Interventional Radiology and Neuroradiology, Department of Diagnostic Imaging, University of Tor Vergata, Rome, Italy PubMed articles Google scholar articles
Giacomo Koch Department of Neuroscience, Comprehensive Stroke Center, University of Tor Vergata, Rome, Italy Santa Lucia Foundation, Rome, Italy PubMed articles Google scholar articles

Correspondence to Fabrizio Sallustio, Stroke Unit, Policlinico Tor Vergata, Viale Oxford 81, Rome 00133, Italy; fsall75{at}gmail.com

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Citation

Sallustio F, Motta C, Pizzuto S, et al

CT angiography-based collateral flow and time to reperfusion are strong predictors of outcome in endovascular treatment of patients with stroke

Journal of NeuroInterventional Surgery 2017;9:940-943.

Publication history

Received July 11, 2016
Revised September 2, 2016
Accepted September 6, 2016
First published September 23, 2016.

Online issue publication

September 17, 2019

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