2017
DOI: 10.1016/j.resuscitation.2017.06.010
|View full text |Cite
|
Sign up to set email alerts
|

Post-anoxic quantitative MRI changes may predict emergence from coma and functional outcomes at discharge

Abstract: Background Traditional predictors of neurological prognosis after cardiac arrest are unreliable after targeted temperature management. Absence of pupillary reflexes remains a reliable predictor of poor outcome. Diffusion-weighted imaging has emerged as a potential predictor of recovery, and here we compare imaging characteristics to pupillary exam. Methods We identified 69 patients who had MRIs within seven days of arrest and used a semi-automated algorithm to perform quantitative volumetric analysis of appa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

2
8
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 13 publications
(10 citation statements)
references
References 20 publications
2
8
0
Order By: Relevance
“…Perhaps most importantly, our findings in conjunction with emerging clinical trials of neuroimaging markers of structural integrity in post–cardiac arrest comatose patients also support the broad use of structural imaging protocols (including MRIs) in such patients. Lack of neuroimaging evidence for overwhelming neuronal injury in persistently comatose patients should prompt a vigorous attempt to promote brain activation and aggressive treatment of ongoing seizures or other varying persistent functional abnormalities seen after cardiac arrest.…”
Section: Discussionsupporting
confidence: 67%
See 2 more Smart Citations
“…Perhaps most importantly, our findings in conjunction with emerging clinical trials of neuroimaging markers of structural integrity in post–cardiac arrest comatose patients also support the broad use of structural imaging protocols (including MRIs) in such patients. Lack of neuroimaging evidence for overwhelming neuronal injury in persistently comatose patients should prompt a vigorous attempt to promote brain activation and aggressive treatment of ongoing seizures or other varying persistent functional abnormalities seen after cardiac arrest.…”
Section: Discussionsupporting
confidence: 67%
“…66,67 Lastly, ketogenic diet is increasingly used as an effective treatment for refractory seizures in adults, 68 another treatment modality thought to alter metabolic substrate availability even though the basic underlying mechanism is not completely understood. 69,70 Perhaps most importantly, our findings in conjunction with emerging clinical trials of neuroimaging markers of structural integrity in post-cardiac arrest comatose patients 17,18 also support the broad use of structural imaging protocols (including MRIs) in such patients. Lack of neuroimaging evidence for overwhelming neuronal injury in persistently comatose patients should prompt a vigorous attempt to promote brain activation and aggressive treatment of ongoing seizures or other varying persistent functional abnormalities seen after cardiac arrest.…”
Section: Discussionsupporting
confidence: 66%
See 1 more Smart Citation
“…Brain areas most susceptible to hypoxic-anoxic injury include the cerebral cortex and deep brain nuclei that include the caudate, basal ganglia and thalamus. Diffusion restriction involving these areas, characterized by hyperintensity on diffusion-weighted imaging (DWI) and hypointensity on apparent diffusion coefficient (ADC) images, predicts poor outcome with high specificity ( 85 , 87 , 88 ). In a study correlating MRI findings with neuron-specific enolase, a biomarker with high prognostic value, levels >33 μg/ml after CA was associated with extensive DWI changes in both deep nuclei and the cortex ( 89 ).…”
Section: Imaging Modalities After Cardiac Arrestmentioning
confidence: 99%
“…These patients had invariably poor outcome. More recently, quantitative measures of diffusion restriction burden on MRI has been proposed to standardize post-CA prognostication ( 86 , 87 , 90 , 91 ); however, the most appropriate thresholds have not been established. In one multi-centered study, an ADC value <650 × 10 −6 m 2 /s in ≥10% of the total brain volume independently predicted poor outcome with a specificity of 91% (95% CI 75–98) and sensitivity of 72% (95% CI 61–80), with >22% of brain volume needed to achieve 100% specificity ( 90 ).…”
Section: Imaging Modalities After Cardiac Arrestmentioning
confidence: 99%