Cost Analysis of the Addition of Hyperacute Magnetic Resonance Imaging for Selection of Patients for Endovascular Stroke Therapy
Author(s) -
Seby John,
Nicolas R. Thompson,
Terry Lesko,
Nancy Papesh,
Nancy A. Obuchowski,
Dan Tomic,
Dolora Wisco,
Zeshaun Khawaja,
Ken Uchino,
Shumei Man,
Esteban ChengChing,
Gábor Tóth,
Thomas J. Masaryk,
Paul Ruggieri,
Michael T. Modic,
Muhammad Shazam Hussain
Publication year - 2017
Publication title -
interventional neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.07
H-Index - 5
eISSN - 1664-9737
pISSN - 1664-5545
DOI - 10.1159/000472158
Subject(s) - medicine , magnetic resonance imaging , stroke (engine) , selection (genetic algorithm) , radiology , artificial intelligence , mechanical engineering , engineering , computer science
Patient selection is important to determine the best candidates for endovascular stroke therapy. In application of a hyperacute magnetic resonance imaging (MRI) protocol for patient selection, we have shown decreased utilization with improved outcomes. A cost analysis comparing the pre- and post-MRI protocol time periods was performed to determine if the previous findings translated into cost opportunities.
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