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Published on: August 14, 2019
Multi-Center Study of Diffusion-Weighted Imaging in Coma After Cardiac Arrest
K G Hirsch1, M Mlynash2, I Eyngorn2
1Stanford Stroke and Neurocritical Care Program, Department of Neurology and Neurological Sciences, Stanford University Medical Center, Stanford University School of Medicine, Stanford, CA, USA. kghirsch@yahoo.com.
Brain diffusion-weighted MRI (DWI MRI) can predict outcomes in cardiac arrest survivors. A specific apparent diffusion coefficient (ADC) threshold in brain volume helps differentiate good versus poor outcomes in comatose patients.
Area of Science:
- Neurology
- Radiology
- Critical Care Medicine
Background:
- Predicting outcomes for cardiac arrest survivors with acute coma is challenging.
- Brain diffusion-weighted magnetic resonance imaging (DWI MRI) shows promise as a prognostic tool.
- This multi-center study evaluated established DWI MRI thresholds for outcome prediction.
Purpose of the Study:
- To assess the predictive value of previously defined DWI MRI apparent diffusion coefficient (ADC) thresholds.
- To determine the correlation between ADC values and brain volumes with patient outcomes.
- To validate DWI MRI as a prognostic tool in a multi-center cohort of comatose cardiac arrest survivors.
Main Methods:
- Retrospective observational study of comatose post-cardiac arrest patients.
- Analysis of brain DWI MRIs to determine apparent diffusion coefficient (ADC) values.
- Correlation of ADC thresholds and affected brain volumes with defined poor outcomes (lack of consciousness or death).
Main Results:
- 125 patients were analyzed; 33 (26%) had a good outcome.
- An ADC value < 650 × 10(-6) mm(2)/s in ≥10% of brain volume predicted poor outcome with 91% specificity and 72% sensitivity.
- This DWI MRI threshold was an independent predictor of poor outcome (p = 0.002).
Conclusions:
- Quantitative DWI MRI findings correlate with early consciousness recovery in comatose cardiac arrest survivors.
- A DWI MRI threshold of 650 × 10(-6) mm(2)/s in ≥10% brain volume differentiates good from poor outcomes.
- While useful, this threshold was not 100% specific for poor outcomes in this cohort.
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