Evidence map›Paper›PMID 35713746›Full record

ArticleThe ultrasound journal2022

Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology.

Cornelia Brunner, Stephan Joachim Schreiber, Martin Bokemeyer, Gerhard Ransmayr, Walter Struhal, Elisabeth Daniela Olbert, Naela Alhani, Milan Rastislav Vosko

Open access · goldAbstract read
In one paragraph

Article in The ultrasound journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Cornelia BrunnerDepartment of Neurology, Karl Landsteiner University of Health Sciences, University Hospital Tulln, Alter Ziegelweg 10, 3430, Tulln, Austria.ORCID http://orcid.org/0000-0002-1371-9204
Stephan Joachim SchreiberDepartment of Neurology, Asklepios Clinic Brandenburg, Anton-Saefkow-Allee 2, 14772, Brandenburg an der Havel, Germany.
Martin BokemeyerDepartment of Neurology, Asklepios Clinic Brandenburg, Anton-Saefkow-Allee 2, 14772, Brandenburg an der Havel, Germany.
Gerhard RansmayrDepartment of Neurology, Kepler University Hospital, 2, Krankenhausstraße 09, 4020, Linz, Austria.
Walter StruhalDepartment of Neurology, Karl Landsteiner University of Health Sciences, University Hospital Tulln, Alter Ziegelweg 10, 3430, Tulln, Austria.
Elisabeth Daniela OlbertDepartment of Neurology, Karl Landsteiner University of Health Sciences, University Hospital Tulln, Alter Ziegelweg 10, 3430, Tulln, Austria.
Naela AlhaniDepartment of Neurology, Karl Landsteiner University of Health Sciences, University Hospital Tulln, Alter Ziegelweg 10, 3430, Tulln, Austria.
Milan Rastislav VoskoDepartment of Neurology, Kepler University Hospital, 2, Krankenhausstraße 09, 4020, Linz, Austria. milan.vosko@kepleruniklinikum.at.ORCID http://orcid.org/0000-0003-3270-3459
Universitätsklinikum Tulln · ATAsklepios Fachklinikum Brandenburg · DEKepler Universitätsklinikum · ATCleopa (Germany) · DE

Funding

Austrian Society of Neurology 18/2017
6 · The paper itself

Abstract

backgroundTranscranial sonography is beside magnetic resonance imaging (MRI) and computed tomography, a well-established imaging method for evaluation of brain parenchyma and already implicated in various neurological disorders as bed-side investigation possibility in clinical routine. The aim of this study was the qualitative assessment detecting vascular white matter hyperintensities (WMHs), with ultrasound fusion-imaging technique (UFI) and to find the optimal location for their visualization in accordance to the grade of WMHs and to possibly providing a standardized protocol for clinical use.

results29 patients with WMHs of variable degree quantified according to Fazekas grading scale (n = 13 I; n = 9 II; n = 7 III) and 11 subjects with normal findings on MRI were identified for further analysis. Ultrasound images were analyzed to a standardized protocol and predefined anatomical landmarks. UFI could visualize the MRI-verified WMHs in 147 of 161 localizations (91%). The overall ultrasound detection rate of WMHs increased with higher degree of WMHs burden (I:85%, II:94%, III:97%). The highest sensitivity was achieved at the contralateral central part (CPc) (97%) of the lateral ventricle. The inter-rater analysis between 2 independent raters, who were blinded to the patient's diagnosis and assessed only the B-mode ultrasound images, indicated an 86% agreement with an overall moderate strength of agreement (κ: 0.489, p < 0.0005) for all localizations. The highest accordance within raters was shown at the CPc; 92% (κ: 0.645, p < 0.0005).

conclusionsThis explorative study describes prospectively the ultrasound detection of periventricular vascular WMHs based on MRI lesions using UFI. Transcranial ultrasound (TCS) could serve as an additional screening opportunity for the detection of incidental WMLs during routine TCS investigations to initiate early vascular risk factor modification in primary prevention.

Indexed as

Magnetic resonance imagingTranscranial sonographyUltrasound fusion-imagingWhite matter hyperintensities

Identifiers

PMID35713746
PMCPMC9206046
OpenAlexW4283024654

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.