Solid or gaseous circulating brain emboli: are they separable by transcranial ultrasound?

Details

Serval ID
serval:BIB_FD3ADA6D5362
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Solid or gaseous circulating brain emboli: are they separable by transcranial ultrasound?
Journal
Journal of Cerebral Blood Flow and Metabolism
Author(s)
Darbellay  G. A., Duff  R., Vesin  J. M., Despland  P. A., Droste  D. W., Molina  C., Serena  J., Sztajzel  R., Ruchat  P., Karapanayiotides  T., Kalangos  A., Bogousslavsky  J., Ringelstein  E. B., Devuyst  G.
ISSN
0271-678X (Print)
Publication state
Published
Issued date
08/2004
Volume
24
Number
8
Pages
860-8
Notes
Comparative Study
Journal Article
Multicenter Study --- Old month value: Aug
Abstract
High-intensity transient signals (HITS) detected by transcranial Doppler (TCD) ultrasound may correspond to artifacts or to microembolic signals, the latter being either solid or gaseous emboli. The goal of this study was to assess what can be achieved with an automatic signal processing system for artifact/microembolic signals and solid/gas differentiation in different clinical situations. The authors studied 3,428 HITS in vivo in a multicenter study, i.e., 1,608 artifacts in healthy subjects, 649 solid emboli in stroke patients with a carotid stenosis, and 1,171 gaseous emboli in stroke patients with patent foramen ovale. They worked with the dual-gate TCD combined to three types of statistical classifiers: binary decision trees (BDT), artificial neural networks (ANN), and support vector machines (SVM). The sensitivity and specificity to separate artifacts from microembolic signals by BDT reached was 94% and 97%, respectively. For the discrimination between solid and gaseous emboli, the classifier achieved a sensitivity and specificity of 81% and 81% for BDT, 84% and 84% for ANN, and 86% and 86% for SVM, respectively. The current results for artifact elimination and solid/gas differentiation are already useful to extract data for future prospective clinical studies.
Keywords
Algorithms *Artifacts Carotid Stenosis/complications Cerebrovascular Accident/etiology/ultrasonography Cerebrovascular Circulation/physiology Decision Trees Embolism, Air/*ultrasonography Heart Septal Defects, Atrial/complications Humans Intracranial Embolism/etiology/*ultrasonography Neural Networks (Computer) Sensitivity and Specificity Ultrasonography, Doppler, Transcranial
Pubmed
Web of science
Create date
25/01/2008 11:40
Last modification date
20/08/2019 16:28
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