Literature DB >> 8418529

Differentiation between different pathological cerebral embolic materials using transcranial Doppler in an in vitro model.

H S Markus1, M M Brown.   

Abstract

BACKGROUND AND
PURPOSE: The detection of circulating particulate cerebral emboli using transcranial Doppler ultrasonography has been recently reported. It has been suggested that this method might allow discrimination between different embolic materials; this would be very useful for selecting specific pharmacological treatment in individual patients. This study was designed to identify those parameters of the Doppler signal that might prove useful in discriminating between different types and sizes of particulate cerebral emboli.
METHODS: An extracorporeal circuit filled with a saline/Tween solution and driven by a peristaltic pump was used. The tubing was placed in a skull in the position of the middle cerebral artery. Using transcranial Doppler ultrasound, flow was insonated via the transtemporal window. The following embolic materials of measured sizes (range of maximum dimension, 0.5-5.0 mm) were introduced into the circuit: thrombus (n = 20), platelet-rich aggregates (n = 15), atheromatous material (n = 20), and fat (n = 20). The Doppler signal was recorded during the passage of each embolus. Off-line analysis was performed to measure the maximum amplitude and duration of the signal.
RESULTS: For all embolic materials there was a highly significant relation between embolus size and maximum amplitude of the Doppler signal. The closest correlation was obtained when the logarithm of maximum amplitude was used (for thrombi, r = 0.74; for platelet, r = 0.87; for atheroma, r = 0.46; and for fat, r = 0.68). The slope of the regression line differed for the different embolic materials and was significantly steeper for platelets than for atheroma (p < 0.01). Platelet emboli of maximum dimension < or = 1.5 mm resulted in a significantly lower maximum amplitude than similarly sized atheroma emboli (157 dB versus 206.7 dB, p < 0.01). For larger emboli (> 2 mm) there was little further increase in maximum amplitude with increases in embolus size. For all embolic materials there was a highly significant linear relation between embolus size and duration of the high-amplitude (> 150 dB) signal (for thrombi, r = 0.75; for platelet, r = 0.90; for atheroma, r = 0.77; and for fat, r = 0.86).
CONCLUSIONS: Platelet emboli result in lower-amplitude signals, and therefore analysis of maximum amplitude may provide information on the type of embolic material. However, it may be difficult to determine whether a given signal is associated with a large platelet embolus or a small atheroma embolus. Duration of the high-amplitude signal will allow accurate estimation of the size of emboli, particularly where the emboli are all of the same material.

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Year:  1993        PMID: 8418529     DOI: 10.1161/01.str.24.1.1

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  15 in total

Review 1.  Intracerebral haemorrhage.

Authors:  J M MacKenzie
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2.  [Turbulence and high intensity transient signals (HITS) as a parameter for optimum orientation of mechanical heart valves].

Authors:  M Perthel; J M Hasenkam; H Nygaard; W Kupper; J Laas
Journal:  Z Kardiol       Date:  2001-12

3.  Microembolic signals and diffusion-weighted MR imaging abnormalities in acute ischemic stroke.

Authors:  K Kimura; K Minematsu; M Koga; R Arakawa; M Yasaka; H Yamagami; K Nagatsuka; H Naritomi; T Yamaguchi
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4.  Microembolization from a carotid mural thrombus detected by transcranial Doppler.

Authors:  M Solaro; C Roberti; A Spalloni; G Mancini; M Beccia; M Rasura
Journal:  Ital J Neurol Sci       Date:  1996-02

5.  Turbulence and circulating cerebral emboli detectable at Doppler ultrasonography: a differentiation study in a stenotic middle cerebral artery model.

Authors:  Yi Yang; Donald G Grosset; Qiu Li; Ashfaq Shuaib; Kennedy R Lees
Journal:  AJNR Am J Neuroradiol       Date:  2002-08       Impact factor: 3.825

6.  Estimation of the size of air emboli detectable by electrical impedance measurement.

Authors:  S Nebuya; M Noshiro; B H Brown; R H Smallwood; P Milnes
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

7.  Asymptomatic embolisation for prediction of stroke in the Asymptomatic Carotid Emboli Study (ACES): a prospective observational study.

Authors:  Hugh S Markus; Alice King; Martin Shipley; Raffi Topakian; Marisa Cullinane; Sheila Reihill; Natan M Bornstein; Arjen Schaafsma
Journal:  Lancet Neurol       Date:  2010-05-31       Impact factor: 44.182

8.  Brain Embolism Monitoring with Transcranial Doppler Ultrasound.

Authors:  Viken L. Babikian; Christine A. Wijman
Journal:  Curr Treat Options Cardiovasc Med       Date:  2003-07

9.  Serial MRI of a mycotic aneurysm of the cavernous carotid artery.

Authors:  G C Cloud; P M Rich; H S Markus
Journal:  Neuroradiology       Date:  2003-06-17       Impact factor: 2.804

Review 10.  Impairment, disability, or handicap in peripheral neuropathy: analysis of the use of outcome measures in clinical trials in patients with peripheral neuropathies.

Authors:  D S Molenaar; R de Haan; M Vermeulen
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-08       Impact factor: 10.154

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