Evidence map›Paper›PMID 34460589›Full record

ArticleJournal of imaging2020

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease.

Jose Bernal, María Valdés-Hernández, Javier Escudero, Eleni Sakka, Paul A Armitage, Stephen Makin, Rhian M Touyz, Joanna M Wardlaw

Open access · goldAbstract read
In one paragraph

Article in Journal of imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Jose BernalCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.ORCID 0000-0003-3167-5134
María Valdés-HernándezCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.ORCID 0000-0003-2771-6546
Javier EscuderoSchool of Engineering, University of Edinburgh, Edinburgh EH9 3FB, UK.ORCID 0000-0002-2105-8725
Eleni SakkaCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
Paul A ArmitageAcademic Unit of Radiology, University of Sheffield, Sheffield S10 2JF, UK.
Stephen MakinInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.
Rhian M TouyzInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.ORCID 0000-0003-0670-0887
Joanna M WardlawCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.ORCID 0000-0002-9812-6642
University of Edinburgh · GBUniversity of Glasgow · GBUniversity of Sheffield · GB

Funding

British Heart Foundation CH/12/4/29762Fondation Leducq 16 CVD 05Horizon 2020 PHC-03-15, project No666881, SVDs@TargetMrs Gladys Row Fogo Charitable Trust BRO-D.FID366841Wellcome Trust WT088134/Z/09/A
6 · The paper itself

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can be used to examine the distribution of an intravenous contrast agent within the brain. Computational methods have been devised to analyse the contrast uptake/washout over time as reflections of cerebrovascular dysfunction. However, there have been few direct comparisons of their relative strengths and weaknesses. In this paper, we compare five semiquantitative methods comprising the slope and area under the enhancement-time curve, the slope and area under the concentration-time curve ( S l o p e C o n and A U C C o n ), and changes in the power spectrum over time. We studied them in cerebrospinal fluid, normal tissues, stroke lesions, and white matter hyperintensities (WMH) using DCE-MRI scans from a cohort of patients with small vessel disease (SVD) who presented mild stroke. The total SVD score was associated with A U C C o n in WMH ( p < 0.05 ), but not with the other four methods. In WMH, we found higher A U C C o n was associated with younger age ( p < 0.001 ) and fewer WMH ( p < 0.001 ), whereas S l o p e C o n increased with younger age ( p > 0.05 ) and WMH burden ( p > 0.05 ). Our results show the potential of different measures extracted from concentration-time curves extracted from the same DCE examination to demonstrate cerebrovascular dysfunction better than those extracted from enhancement-time curves.

Indexed as

cerebrovascular alteration descriptorsdynamic contrast-enhanced magnetic resonance imagingsmall vessel disease

Identifiers

PMID34460589
PMCPMC8321077
OpenAlexW3033439521

What OpenQuestion holds

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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.