Acceleration of cerebrovascular reactivity as a new supplemental TCD index in patients with severe carotid stenosis before and after carotid endarterectomy

2007 ◽  
Vol 29 (5) ◽  
pp. 490-492
Author(s):  
Gregory Telman ◽  
Efim Kouperberg ◽  
Elliot Sprecher ◽  
David Yarnitsky
1999 ◽  
Vol 51 (3) ◽  
pp. 321-326 ◽  
Author(s):  
V. D’Angelo ◽  
G. Catapano ◽  
V. Bozzini ◽  
D. Catapano ◽  
P. De Vivo ◽  
...  

2020 ◽  
pp. 68-68
Author(s):  
Vladimir Manojlovic ◽  
Djordje Milosevic ◽  
Nebojsa Budakov ◽  
Dragan Nikolic

Introduction/Objective. Circle of Willis (CoW) provides the most significant collateral flow in the presence of significant stenosis or occlusion of internal carotid artery. In terms of collateral flow ?incomplete? type and ?complete? type of CoW can be recognized. Patients with carotid artery disease with incomplete CoW have lower cerebrovascular reactivity and higher risk for stroke. Cerebrovascular reactivity refers to the residual capacity of dilatation of cerebral blood vessels in the condition of insufficient blood flow. In this study we analyzed changes in cerebrovascular reactivity after carotid endarterectomy in asymptomatic patients with respect to complete and incomplete CoW morphology. Methods. In this study in 97 patients with asymptomatic carotid artery disease we measured cerebrovascular reactivity before and after carotid endarterectomy by using method of ?apnea test? and ? Breath Hold Index? (BHI). Patients were divided into two following groups: patients with ?complete? CoW and ?incomplete? CoW based on non-contrast magnetic resonance angio performed previously to the operation. Descriptive statistics, univariate analysis, and ANOVA for comparison of BHI values between groups were used. Results. Results showed significant increase in cerebrovascular reactivity at the side of stenosis in both groups of patients with complete CoW (BHI value increased from 0,897 to 1.090; F(1.65) = 30.788, p < 0.0005, parc. ?2 = 0.321) and incomplete CoW (BHI value increased from 0.690 to 1.010; F ( 1.27 ) = 62.318 , p < 0.0005, parc. ?2 = 0.698) and the more significant increase in the group of incomplete CoW compared to the group with complete CoW (F (1.92 ) = 4.557 , p =0.035 , parc. ?2 =0.047) Conclusion. In most asymptomatic patients, cerebrovascular reactivity restores to normal following carotid endarterectomy. Parameters of cerebrovascular reactivity are lower in patients with incomplete CoW and the increase after carotid endarterectomy is more significant in such patients.


2021 ◽  
Author(s):  
Marianne Ala‐Kauhaluoma ◽  
Krista Nuotio ◽  
Petra Ijäs ◽  
Suvi Maaria Koskinen ◽  
Pirkka Vikatmaa ◽  
...  

2020 ◽  
Author(s):  
Dongsheng Kong ◽  
Zhe Xue ◽  
Chen Wu ◽  
Wenxin Wang ◽  
Zhenghui Sun ◽  
...  

Abstract Background:Carotid endarterectomy (CEA) is an effective method for treating cerebral ischemia caused by carotid stenosis, but there may be a risk of perfusion pressure breakthrough during early perfusion recovery. As a non-invasive and contrast-free magnetic resonance examination method, arterial spin labeling can be used for continuous observation and measurement in the early postoperative period of carotid endarterectomy. Results: Nineteen patients with severe unilateral carotid stenosis were examined using 3D pseudo-continuous arterial spin labeling before and after CEA, and we found that the pattern of dynamic cerebral blood flow changes is not the same in different regions.Conclusions: 3D pseudo-continuous arterial spin labeling might be helpful for the improvement of postoperative treatment and care of severe unilateral carotid stenosis patients.


2020 ◽  
Vol 132 (6) ◽  
pp. 1952-1960 ◽  
Author(s):  
Seung-Bo Lee ◽  
Hakseung Kim ◽  
Young-Tak Kim ◽  
Frederick A. Zeiler ◽  
Peter Smielewski ◽  
...  

OBJECTIVEMonitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with traumatic brain injury (TBI). However, these signals are often heavily affected by artifacts, which may significantly reduce the reliability of the clinical determinations derived from the signals. The goal of this work was to eliminate signal artifacts from continuous ICP and ABP monitoring via deep learning techniques and to assess the changes in the prognostic capacities of clinical parameters after artifact elimination.METHODSThe first 24 hours of monitoring ICP and ABP in a total of 309 patients with TBI was retrospectively analyzed. An artifact elimination model for ICP and ABP was constructed via a stacked convolutional autoencoder (SCAE) and convolutional neural network (CNN) with 10-fold cross-validation tests. The prevalence and prognostic capacity of ICP- and ABP-related clinical events were compared before and after artifact elimination.RESULTSThe proposed SCAE-CNN model exhibited reliable accuracy in eliminating ABP and ICP artifacts (net prediction rates of 97% and 94%, respectively). The prevalence of ICP- and ABP-related clinical events (i.e., systemic hypotension, intracranial hypertension, cerebral hypoperfusion, and poor cerebrovascular reactivity) all decreased significantly after artifact removal.CONCLUSIONSThe SCAE-CNN model can be reliably used to eliminate artifacts, which significantly improves the reliability and efficacy of ICP- and ABP-derived clinical parameters for prognostic determinations after TBI.


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