Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36487
Title: Added Value of Quantitative Apparent Diffusion Coefficient Values for Neuroprognostication After Cardiac Arrest
Authors: Wouters, Anke
Scheldeman, Lauranne
Plessers, Sam
Peeters, Ronald
Cappelle, Sarah
Demaerel, Philippe
Van Paesschen, Wim
Ferdinande, Bert
DUPONT, Matthias 
DENS, Jo 
Janssens , Stefan
AMELOOT, Koen 
Lemmens, Robin
Issue Date: 2021
Publisher: LIPPINCOTT WILLIAMS & WILKINS
Source: Neurology, 96 (21) , p. E2611 -E2618
Abstract: ObjectiveTo test the prognostic value of brain MRI in addition to clinical and electrophysiologic variables in patients post-cardiac arrest (CA), we explored data from the randomized Neuroprotect Post-CA trial (NCT02541591).MethodsIn this trial, brain MRIs were prospectively obtained. We calculated receiver operating characteristic (ROC) curves for the average apparent diffusion coefficient (ADC) value and percentage of brain voxels with an ADC value <650 x 10(-6) mm(2)/s and <450 x 10(-6) mm(2)/s. We constructed multivariable logistic regression models with clinical characteristics, EEG, somatosensory evoked potentials (SSEP), and ADC value as independent variables to predict good neurologic recovery.ResultsIn 79/102 patients, MRI data were available and in 58/79 patients all other data were available. At 180 days post-CA, 25/58 (43%) patients had good neurologic recovery. In univariable analysis of all tested MRI measures, average ADC value in the postcentral cortex had the highest accuracy to predict good neurologic recovery, with an area under the ROC curve (AUC) of 0.78. In the most optimal multivariable model, which also included corneal reflexes and EEG, this measure remained an independent predictor of good neurologic recovery (AUC 0.96, false-positive 27%). This model provided a more accurate prediction compared to the most optimal combination of EEG, corneal reflexes, and SSEP (p = 0.03).ConclusionsAdding information on brain MRI in a multivariable model may improve the prediction of good neurologic recovery in patients post-CA.Classification of EvidenceThis study provides Class III evidence that MRI ADC features predict neurologic recovery in patients post-CA.
Notes: Wouters, A (corresponding author), Univ Hosp Leuven, Dept Neurol, Leuven, Belgium.; Wouters, A (corresponding author), Ctr Brain Dis Res VIB, Neurobiol Lab, Leuven, Belgium.; Wouters, A (corresponding author), Univ Leuven, Dept Neurosci, Expt Neurol & Leuven Brain Inst, Leuven, Belgium.; Wouters, A (corresponding author), Univ Amsterdam, Acad Med Ctr, Dept Neurol, Amsterdam, Netherlands.
anke.wouters@med.kuleuven.be
Keywords: Aged;Diffusion Magnetic Resonance Imaging;Female;Heart Arrest;Humans;Hypoxia-Ischemia, Brain;Male;Middle Aged;Prognosis;Recovery of Function
Document URI: http://hdl.handle.net/1942/36487
ISSN: 0028-3878
e-ISSN: 1526-632X
DOI: 10.1212/WNL.0000000000011991
ISI #: 000725294600019
Rights: 2021 American Academy of Neurology. Unauthorized reproduction of this article is prohibited
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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