2018
DOI: 10.1016/s1474-4422(18)30027-9
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Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study

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Cited by 142 publications
(138 citation statements)
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References 35 publications
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“…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: 64%
See 1 more Smart Citation
“…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: 64%
“…[11][12][13][14][15][16] In addition, a lack of imaging-based evidence of anoxic cortical or white matter injuries after cardiac arrest may portend better outcomes, 17 even in patients remaining in coma for more than 7 days. 18 The poorly characterized physiological protective factors related to TTM 19 suggest the possibility that in comatose post-cardiac arrest patients with wide preservation of cerebral structure, some negative predictive markers may only indicate a sustained abnormal state of global neuronal functions without permanent loss of potential to recover integrative cerebral functions. Collectively, these observations raise the question of whether global dysfunction of large-scale cerebral networks indexed by negative physiological predictive markers (eg, BSP, refractory status epilepticus) may hide a latent capacity for broad functional recovery across the corticothalamic system in patients with prolonged coma after cardiac arrest.…”
mentioning
confidence: 99%
“…If this is not the case, a second step relies on less robust markers, that need to be combined and eventually repeated, such as high serum neuron‐specific enolase, unreactive malignant EEG patterns (status epilecticus or burst‐suppression, the prognostic value of isolated discontinuous or unreactive EEG being less clear) and/or brain imagery showing diffuse anoxic injury (CT or MRI). Recently, the global FA proved to be very accurate in prognosing outcome at 1 year of patients still comatose 7 days after cardiac arrest . In severe TBI, prognosis is more heterogenous and is often delayed by the initial management of high intracranial pressure (sedation, hypothermia, etc).…”
Section: Discussionmentioning
confidence: 99%
“…Focal lesions in key structures within previously described models of consciousness together with measures related to mass effect of the haemorrhage predict early recovery of consciousness. Both, adding a comprehensive assessment of structural connectivity between these key structures (i.e., using diffusion tensor imaging analysis) [40] as well as quantifying functional connectivity (using functional imaging or EEG markers) may further strengthen the accuracy of this model.…”
Section: Discussionmentioning
confidence: 99%