Article (Scientific journals)
Diffusion Tensor Imaging to Predict Long-term Outcome after Cardiac Arrest: A Bicentric Pilot Study.
Luyt, Charles-Edouard; Galanaud, Damien; Perlbarg, Vincent et al.
2012In Anesthesiology, 117 (6), p. 1311-1321
Peer Reviewed verified by ORBi
 

Files


Full Text
LuytAnesthesiology2012.pdf
Publisher postprint (1.27 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] BACKGROUND: Prognostication in comatose survivors of cardiac arrest is a major clinical challenge. The authors' objective was to determine whether an assessment with diffusion tensor imaging, a brain magnetic resonance imaging sequence, increases the accuracy of 1 yr functional outcome prediction in cardiac arrest survivors. METHODS:: Prospective, observational study in two intensive care units. Fifty-seven comatose survivors of cardiac arrest underwent brain magnetic resonance imaging. Fractional anisotropy (FA), a diffusion tensor imaging value, was measured in predefined white matter regions, and apparent diffusion coefficient was assessed in predefined grey matter regions. Prediction of unfavorable outcome at 1 yr was compared using four prognostic models: FA global, FA selected, apparent diffusion coefficient, and clinical classifiers. RESULTS:: Of the 57 patients included in the study, 49 had an unfavorable outcome at 12 months. Areas under the receiver operating characteristic curve (95% CI) to predict unfavorable outcome for the FA global, FA selected, clinical, and apparent diffusion coefficient models were 0.92 (0.82-0.98), 0.96 (0.87-0.99), 0.78 (0.65-0.88), and 0.86 (0.74-0.94), respectively. The FA selected model had the best overall accuracy for predicting outcome, with a score above 0.44 having 94% (95% CI, 83-99%) sensitivity and 100% (95% CI, 63-100%) specificity for the prediction of unfavorable outcome. CONCLUSION:: Quantitative diffusion tensor imaging indicates that white matter damage is widespread after cardiac arrest. A prognostic model based on FA values in selected white matter tracts seems to predict accurately 1 yr functional outcome. These preliminary results need to be confirmed in a larger population.
Disciplines :
Neurology
Author, co-author :
Luyt, Charles-Edouard
Galanaud, Damien
Perlbarg, Vincent
Vanhaudenhuyse, Audrey  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Stevens, Robert D.
Gupta, Rajiv
Besancenot, Hortense
Krainik, Alexandre
Audibert, Gerard
Combes, Alain
Chastre, Jean
Benali, Habib
Laureys, Steven  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Puybasset, Louis
More authors (4 more) Less
Language :
English
Title :
Diffusion Tensor Imaging to Predict Long-term Outcome after Cardiac Arrest: A Bicentric Pilot Study.
Publication date :
2012
Journal title :
Anesthesiology
ISSN :
0003-3022
eISSN :
1528-1175
Publisher :
Lippincott Williams & Wilkins, Philadelphia, United States - Pennsylvania
Volume :
117
Issue :
6
Pages :
1311-1321
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 07 January 2013

Statistics


Number of views
143 (4 by ULiège)
Number of downloads
145 (2 by ULiège)

Scopus citations®
 
85
Scopus citations®
without self-citations
61
OpenCitations
 
76

Bibliography


Similar publications



Contact ORBi