Evidence map›Paper›PMID 29576397›Full record

Trial reportJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2018

Visual Rating Scales of White Matter Hyperintensities and Atrophy: Comparison of Computed Tomography and Magnetic Resonance Imaging.

Karen J Ferguson, Vera Cvoro, Alasdair M J MacLullich, Susan D Shenkin, Peter A G Sandercock, Eleni Sakka, Joanna M Wardlaw

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Precision Medicine for Blood Glutamate Grabbing in Ischemic Stroke.International journal of molecular sciences · 2024
    Observational
  18. Reliability of the global cortical atrophy visual rating scale applied to computed tomography versus magnetic resonance imaging scans in acute stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
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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

7 authors.

Karen J FergusonEdinburgh Delirium Research Group, Geriatric Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Vera CvoroVictoria Hospital, NHS Fife, Kirkcaldy, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. Electronic address: vera.cvoro@ed.ac.uk.
Alasdair M J MacLullichEdinburgh Delirium Research Group, Geriatric Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Susan D ShenkinEdinburgh Delirium Research Group, Geriatric Medicine, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Peter A G SandercockCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Eleni SakkaCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK.

Funding

Medical Research Council G0400069Medical Research Council G108/646Medical Research Council MC_G1002455Medical Research Council MR/K026992/1
6 · The paper itself

Abstract

goalMagnetic resonance imaging (MRI) is the preferred modality for research on structural age-related brain changes. However, computed tomography (CT) is widely available and has practical and cost advantages over MRI for large-scale brain imaging research studies in acutely unwell patients. However, the relationships between MRI and CT measures of white matter hyperintensities (WMH) and atrophy are unclear. We examined the relationships between visual ratings of WMH, atrophy, and old infarcts in patients who had both CT and MRI scans. MATERIALS AND

methodsPatients who had both CT and MRI scans in the International Stroke Trial-3 were studied. In both modalities, 2 raters independently completed standardized visual rating scales for WMH, and for central and superficial atrophy using a 5-point scale. In addition, 1 rater recorded old infarcts according to size and location.

findingsSeventy patients with a mean age of 69 years were studied. There were moderate to substantial intrarater CT-MRI agreements for periventricular components of WMH scales (weighted Κappa = .55-.75). Agreements for basal ganglia ratings were lower (weighted Κappa = .18-.44), partly because of the misclassification of prominent perivascular spaces. Atrophy scales showed moderate to substantial CT-MRI agreements (weighted Κappa = .44-.70). MRI was more sensitive in the detection of smaller infarcts and cavitated lesions.

conclusionsStandardized visual rating scales of white matter lesions and atrophy mostly show substantial agreement between CT and MRI. Clinical CT scans have a strong potential for wider exploitation in research studies, particularly in acutely unwell populations.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAgedBrainHumansObserver VariationWhite Mattercerebral atrophyComputed tomographymagnetic resonance imagingvaliditywhite matter lesions

Identifiers

PMID29576397
PMCPMC6013276

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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.