Volume 65, Issue 4 pp. 394-402
Original Article

Prognostic value of brain diffusion-weighted imaging after cardiac arrest

Christine A. C. Wijman MD, PhD

Corresponding Author

Christine A. C. Wijman MD, PhD

Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA

Stanford Stroke Center, 701 Welch Road, B325, Palo Alto, CA 94304Search for more papers by this author
Michael Mlynash MD, MS

Michael Mlynash MD, MS

Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA

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Anna Finley Caulfield MD

Anna Finley Caulfield MD

Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA

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Amie W. Hsia MD

Amie W. Hsia MD

Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA

National Institute of Neurological Disorders and Stroke, Stroke Branch, Bethesda, MD

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Irina Eyngorn MD

Irina Eyngorn MD

Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA

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Roland Bammer PhD

Roland Bammer PhD

Lucas Magnetic Resonance Spectroscopy and Imaging Center, Stanford University, Palo Alto, CA

Department of Radiology, Stanford University, Palo Alto, CA

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Nancy Fischbein MD

Nancy Fischbein MD

Department of Radiology, Stanford University, Palo Alto, CA

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Gregory W. Albers MD

Gregory W. Albers MD

Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA

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Michael Moseley PhD

Michael Moseley PhD

Lucas Magnetic Resonance Spectroscopy and Imaging Center, Stanford University, Palo Alto, CA

Department of Radiology, Stanford University, Palo Alto, CA

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First published: 27 April 2009
Citations: 231

Potential conflict of interest: Nothing to report.

Abstract

Objective

Outcome prediction is challenging in comatose postcardiac arrest survivors. We assessed the feasibility and prognostic utility of brain diffusion-weighted magnetic resonance imaging (DWI) during the first week.

Methods

Consecutive comatose postcardiac arrest patients were prospectively enrolled. AWI data of patients who met predefined specific prognostic criteria were used to determine distinguishing apparent diffusion coefficient (ADC) thresholds. Group 1 criteria were death at 6 months and absent motor response or absent pupillary reflexes or bilateral absent cortical responses at 72 hours or vegetative at 1 month. Group 2 criterion was survival at 6 months with a Glasgow Outcome Scale score of 4 or 5 (group 2A) or 3 (group 2B). The percentage of voxels below different ADC thresholds was calculated at 50 × 10−6 mm2/sec intervals.

Results

Overall, 86% of patients underwent DWI. Fifty-one patients with 62 brain DWIs were included. Forty patients met the specific prognostic criteria. The percentage of brain volume with an ADC value less than 650 to 700 × 10−6mm2/sec best differentiated between Group 1 and Groups 2A and 2B combined (p < 0.001), whereas the 400 to 450 × 10−6mm2/sec threshold best differentiated between Groups 2A and 2B (p = 0.003). The ideal time window for prognostication using DWI was between 49 and 108 hours after the arrest. When comparing DWI in this time window with the 72-hour neurological examination, DWI improved the sensitivity for predicting poor outcome by 38% while maintaining 100% specificity (p = 0.021).

Interpretation

Quantitative DWI in comatose postcardiac arrest survivors holds promise as a prognostic adjunct. Ann Neurol 2009;65:394–402

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