Evidence map›Paper›PMID 26823469›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017

Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities - Could this improve early diagnosis?

Christian Nasel, Roland Boubela, Klaudius Kalcher, Ewald Moser

Open access · hybridAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  11. Advanced Neuroimaging of Cerebral Small Vessel Disease.Current treatment options in cardiovascular medicine · 2017
    Review
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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

4 authors at 2 institutions in 1 country.

Christian Nasel1 Department of Radiology, University Hospital Tulln, Karl Landsteiner University of Health Sciences, Tulln, Austria.
Roland Boubela2 Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Klaudius Kalcher2 Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Ewald Moser2 Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATKarl Landsteiner University of Health Sciences · AT

Funding

Austrian Science Fund FWF P 23533
6 · The paper itself

Abstract

Parameter-free assessment of the time-to-peak (TTP) histogram, termed 'TTP-distribution curve' (TDC), of dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) was introduced as a robust method to evaluate cerebral perfusion. TDC-assessment works fully automatically without the need of an arterial input function, thereby providing full comparability between different measurements. In the investigated sample of 106 patients, a strong dependency of TDC on the hemodynamic state of cerebral microvessels and the arterio-venous bolus-transit time [Formula: see text] was demonstrated. Accordingly, TDC-derived [Formula: see text] was 3.3-3.7 s for control patients and 4.4 s for cerebral small vessel disease patients. Measurements of associated bolus spread velocities ν and accelerations [Formula: see text] additionally revealed a direct effect from spin-spin relaxation time T

Indexed as

Cerebral Small Vessel DiseasesCerebrovascular CirculationEarly DiagnosisHemodynamicsHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingWhite MatterBrain perfusioncerebral small vessel diseaseleukoaraiosisperfusion imagingperfusion magnetic resonance imaging

Identifiers

PMID26823469
PMCPMC5256485
OpenAlexW2430959264

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.