Diffusion tensor imaging to predict long-term outcome after cardiac arrest: A bicentric pilot study

Charles Edouard Luyt, Damien Galanaud, Vincent Perlbarg, Audrey Vanhaudenhuyse, Robert D. Stevens, Rajiv Gupta, Hortense Besancenot, Alexandre Krainik, Gérard Audibert, Alain Combes, Jean Chastre, Habib Benali, Steven Laureys, Louis Puybasset

Research output: Contribution to journalArticlepeer-review

67 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1311-1321
Number of pages11
Issue number6
StatePublished - Dec 2012

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine


Dive into the research topics of 'Diffusion tensor imaging to predict long-term outcome after cardiac arrest: A bicentric pilot study'. Together they form a unique fingerprint.

Cite this