Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study
The Lancet Neurology
Fecha de publicación: 27 February 2018
DOI: https://doi.org/10.1016/S1474-4422(18)30027-9
Autores: Lionel Velly, Vincent Perlbarg, Thomas Boulier, Nicolas Adam, Sebastien Delphine, Charles-Edouard Luyt, Valentine Battisti, Gregory Torkomian, Charlotte Arbelot, Russell Chabanne, Betty Jean, Carol Di Perri, Steven Laureys, Giuseppe Citerio, Alessia Vargiolu, Benjamin Rohaut, Nicolas Bruder, Nadine Girard, Stein Silva, Vincent Cottenceau, Thomas Tourdias, Olivier Coulon, Bruno Riou, Lionel Naccache, Rajiv Gupta, Habib Benali, Damien Galanaud, Louis Puybasset for the MRI-COMA Investigators
Background: Prediction of neurological outcome after cardiac arrest is a major challenge. The aim of this study was to assess whether quantitative whole-brain white matter fractional anisotropy (WWM-FA) measured by diffusion tensor imaging between day 7 and day 28 after cardiac arrest can predict long-term neurological outcome.
