Literature DB >> 7643973

Embolus detection in different degrees of carotid disease.

B M Eicke1, J von Lorentz, W Paulus.   

Abstract

Carotid atherosclerotic disease is a major source for artery to artery embolism. Stroke incidence highly depends on the degree of carotid stenosis. TCD monitoring for embolic signals may help to identify patients at high risk for an impeding stroke. This study was performed to correlate the degree of carotid stenosis with the occurrence of embolic signals and the clinical outcome. We performed a bilateral simultaneous TCD study on 4 patient groups with unilateral atherosclerotic disease: We studied patients with non-stenotic ICA plaques (n = 21), 50-75% ICA stenosis (n = 20), 75-95% stenosis (n = 22), and occlusion (n = 13). Minimum insonation time was 45 minutes. Embolic signals were not detected in the control group and patients with a non-stenotic ICA lesion, but in 10% of the patients with 50-75% stenosis, 22% of the patients with a high grade stenosis and 39% of the patients with an ICA occlusion. There is a high specificity (92%) and rather low sensitivity (29%) of these microemboli for past clinical events. The occurrence of embolic signals correlated (p < 0.005) with a history of stroke, TIA or RIND. Microemboli detection may be a valuable tool to identify high risk patients.

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Year:  1995        PMID: 7643973     DOI: 10.1080/01616412.1995.11740309

Source DB:  PubMed          Journal:  Neurol Res        ISSN: 0161-6412            Impact factor:   2.448


  8 in total

1.  Modeling hemodynamic forces in carotid artery based on local geometric features.

Authors:  Yimin Chen; Gador Canton; William S Kerwin; Bernard Chiu
Journal:  Med Biol Eng Comput       Date:  2015-11-17       Impact factor: 2.602

2.  Can Doppler flow parameters of carotid stenosis predict the occurrence of new ischemic brain lesions detected by diffusion-weighted MR imaging after filter-protected internal carotid artery stenting?

Authors:  Y Gunduz; R Akdemir; L T Ayhan; N Keser
Journal:  AJNR Am J Neuroradiol       Date:  2014-03-20       Impact factor: 3.825

Review 3.  Prevalence and prognostic impact of microembolic signals in arterial sources of embolism. A systematic review of the literature.

Authors:  Martin A Ritter; Ralf Dittrich; Niels Thoenissen; E Bernd Ringelstein; Darius G Nabavi
Journal:  J Neurol       Date:  2008-05-06       Impact factor: 4.849

4.  Conformal mapping of carotid vessel wall and plaque thickness measured from 3D ultrasound images.

Authors:  Gary P T Choi; Yimin Chen; Lok Ming Lui; Bernard Chiu
Journal:  Med Biol Eng Comput       Date:  2017-06-07       Impact factor: 2.602

5.  Symptomatic Carotid Occlusion Is Frequently Associated With Microembolization.

Authors:  Ava L Liberman; Ali Zandieh; Caitlin Loomis; Jonathan M Raser-Schramm; Christina A Wilson; Jose Torres; Koto Ishida; Swaroop Pawar; Rebecca Davis; Michael T Mullen; Steven R Messé; Scott E Kasner; Brett L Cucchiara
Journal:  Stroke       Date:  2017-01-11       Impact factor: 7.914

6.  Detection of cerebral embolic signals in patients with systemic lupus erythematosus.

Authors:  A Dahl; R Omdal; K Waterloo; O Joakimsen; E A Jacobsen; W Koldingsnes; S I Mellgren
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-02-24       Impact factor: 10.154

7.  Cessation of embolic signals after antithrombotic prevention is related to reduced risk of recurrent arterioembolic transient ischaemic attack and stroke.

Authors:  M Goertler; T Blaser; S Krueger; K Hofmann; M Baeumer; C W Wallesch
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-03       Impact factor: 10.154

8.  Microembolus detection by transcranial Doppler sonography: review of the literature.

Authors:  Vlasta Vuković-Cvetković
Journal:  Stroke Res Treat       Date:  2011-11-30
  8 in total

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