scholarly journals Evaluating CT Perfusion Using Outcome Measures of Delayed Cerebral Ischemia in Aneurysmal Subarachnoid Hemorrhage

2012 ◽  
Vol 34 (2) ◽  
pp. 292-298 ◽  
Author(s):  
P.C. Sanelli ◽  
N. Anumula ◽  
C.E. Johnson ◽  
J.P. Comunale ◽  
A.J. Tsiouris ◽  
...  
2013 ◽  
Vol 34 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Charlotte H P Cremers ◽  
Irene C van der Schaaf ◽  
Emerens Wensink ◽  
Jacoba P Greving ◽  
Gabriel J E Rinkel ◽  
...  

Delayed cerebral ischemia (DCI) is at presentation a diagnosis per exclusionem, and can only be confirmed with follow-up imaging. For treatment of DCI a diagnostic tool is needed. We performed a systematic review to evaluate the value of CT perfusion (CTP) in the prediction and diagnosis of DCI. We searched PubMed, Embase, and Cochrane databases to identify studies on the relationship between CTP and DCI. Eleven studies totaling 570 patients were included. On admission, cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and time-to-peak (TTP) did not differ between patients who did and did not develop DCI. In the DCI time-window (4 to 14 days after subarachnoid hemorrhage (SAH)), DCI was associated with a decreased CBF (pooled mean difference −11.9 mL/100 g per minute (95% confidence interval (CI): −15.2 to −8.6)) and an increased MTT (pooled mean difference 1.5 seconds (0.9–2.2)). Cerebral blood volume did not differ and TTP was rarely reported. Perfusion thresholds reported in studies were comparable, although the corresponding test characteristics were moderate and differed between studies. We conclude that CTP can be used in the diagnosis but not in the prediction of DCI. A need exists to standardize the method for measuring perfusion with CTP after SAH, and optimize and validate perfusion thresholds.


2015 ◽  
Vol 57 (5) ◽  
pp. 469-474 ◽  
Author(s):  
Charlotte H. P. Cremers ◽  
Jan Willem Dankbaar ◽  
Mervyn D. I. Vergouwen ◽  
Pieter C. Vos ◽  
Edwin Bennink ◽  
...  

Author(s):  
Michael Veldeman ◽  
Miriam Weiss ◽  
Tim Philipp Simon ◽  
Anke Hoellig ◽  
Hans Clusmann ◽  
...  

AbstractAneurysmal subarachnoid hemorrhage (SAH) is associated with a high mortality rate and may leave surviving patients severely disabled. After the initial hemorrhage, clinical outcome is further compromised by the occurrence of delayed cerebral ischemia (DCI). Overweight and obesity have previously been associated with protective effects in the post-bleeding phase. The aim of this study was to assess the effects of a patient’s body mass index (BMI) and leptin levels on the occurrence of DCI, DCI-related cerebral infarction, and clinical outcome. In total, 263 SAH patients were included of which leptin levels were assessed in 24 cases. BMI was recorded along disease severity documented by the Hunt and Hess and modified Fisher scales. The occurrence of clinical or functional DCI (neuromonitoring, CT Perfusion) was assessed. Long-term clinical outcome was documented after 12 months (extended Glasgow outcome scale). A total of 136 (51.7%) patients developed DCI of which 72 (27.4%) developed DCI-related cerebral infarctions. No association between BMI and DCI occurrence (P = .410) or better clinical outcome (P = .643) was identified. Early leptin concentration in serum (P = .258) and CSF (P = .159) showed no predictive value in identifying patients at risk of unfavorable outcomes. However, a significant increase of leptin levels in CSF occurred from 326.0 pg/ml IQR 171.9 prior to DCI development to 579.2 pg/ml IQR 211.9 during ongoing DCI (P = .049). In our data, no association between obesity and clinical outcome was detected. After DCI development, leptin levels in CSF increased either by an upsurge of active transport or disruption of the blood-CSF barrier. This trial has been registered at ClinicalTrials.gov (NCT02142166) as part of a larger-scale prospective data collection. BioSAB: https://clinicaltrials.gov/ct2/show/NCT02142166


2021 ◽  
Author(s):  
Michael Veldeman ◽  
Miriam Weiss ◽  
Tim Philipp Simon ◽  
Anke Hoellig ◽  
Hans Clusmann ◽  
...  

Abstract ObjectiveAneurysmal subarachnoid hemorrhage (SAH) is associated with a high mortality rate and may leave surviving patients severely disabled. After the initial hemorrhage, clinical outcome is further compromised by the occurrence of delayed cerebral ischemia (DCI). Overweight and obesity have previously been associated with protective effects in the post-bleeding phase. The aim of this study was to assess the effects of patient’s body mass index (BMI) and leptin levels on the occurrence of DCI, DCI-related cerebral infarction and clinical outcome. METHODS263 SAH patients were included of which leptin levels were assessed in 24 cases. BMI was recorded along disease severity documented by the Hunt and Hess and modified Fisher scales. The occurrence of clinical or functional DCI (neuromonitoring, CT Perfusion) was assessed. Long-term clinical outcome was documented after 12 months (extended Glasgow outcome scale). RESULTSA total of 136 (51.7%) patients developed DCI of which 72 (27.4%) developed DCI-related cerebral infarctions. No association between BMI and DCI occurrence (P=.410) or better clinical outcome (P=.643) was identified. Early leptin concentration in serum (P=.258) and CSF (P=.159) showed no predictive value in identifying patients at risk of unfavorable outcome. However, a significant increase of leptin levels in CSF occurred from 326.0 pg/ml IQR 171.9 prior to DCI development to 579.2 pg/ml IQR 211.9 during ongoing DCI (P =.049). CONCLUSIONSIn our data, no association between obesity and clinical outcome was detected. After DCI-development, leptin levels in CSF increased either by an upsurge of active transport or disruption of the blood-CSF barrier.Trial registration: This trial has been registered at ClinicalTrials.gov (NCT02142166) as part of a larger scale prospective data collection. BioSAB: https://clinicaltrials.gov/ct2/show/NCT02142166


2015 ◽  
Vol 26 (9) ◽  
pp. 2956-2963 ◽  
Author(s):  
Christine Rodriguez-Régent ◽  
Monia Hafsa ◽  
Guillaume Turc ◽  
Wagih Ben Hassen ◽  
Myriam Edjlali ◽  
...  

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