The DOI matches its Crossref record.
Differentiation between different pathological cerebral embolic materials using transcranial Doppler in an in vitro model.
Open accessAbstract
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. 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. 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). 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Patterns of MRI lesions in CADASIL
Chabriat, H., Levy, C., Taillia, H., Iba-Zizen, M.-T., Vahedi, K., Joutel, A., Tournier-Lasserve, E., & Bousser, M.-G. (1998) · Neurology · doi:10.1212/wnl.51.2.452 · Cited by 339
Factors predictive of stroke outcome in a rehabilitation setting
Ween, J. E., Alexander, M. P., D'Esposito, M., & Roberts, M. (1996) · Neurology · doi:10.1212/wnl.47.2.388 · Cited by 304
Wong, K. S., Gao, S., Chan, Y. L., Hansberg, T., Lam, W. W. M., Droste, D. W., Kay, R., & Ringelstein, E. B. (2002) · Annals of Neurology · doi:10.1002/ana.10250 · Cited by 268
Association of apolipoprotein E ϵ2 and vasculopathy in cerebral amyloid angiopathy
Greenberg, S. M., Vonsattel, J.-P. G., Segal, A. Z., Chiu, R. I., Clatworthy, A. E., Liao, A., Hyman, B. T., & Rebeck, G. W. (1998) · Neurology · doi:10.1212/wnl.50.4.961 · Cited by 267
Metadata
- Authors
- Markus, H. S., & Brown, M. M.
- Venue
- Stroke
- Published
- 1993-01
- Volume
- 24
- Issue
- 1
- Pages
- 1-5
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2099017847
- Cited by
- 261
- References
- 0
- FWCI
- 28.14
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Differentiation between different pathological cerebral embolic materials using transcranial Doppler in an in vitro model. https://app.cochat.ai/papers/10.1161/01.str.24.1.1
- The paper
- Markus, H. S., & Brown, M. M. (1993). Differentiation between different pathological cerebral embolic materials using transcranial Doppler in an in vitro model. Stroke. https://doi.org/10.1161/01.str.24.1.1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.