Evidence map›Paper›PMID 35611309›Full record

ArticleBrain communications2022

Fluid-attenuated inversion recovery magnetic resonance imaging textural features as sensitive markers of white matter damage in midlife adults.

Maria-Eleni Dounavi, Audrey Low, Graciela Muniz-Terrera, Karen Ritchie, Craig W Ritchie, Li Su, Hugh S Markus, John T O'Brien

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Maria-Eleni DounaviDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.ORCID https://orcid.org/0000-0001-8287-346X
Audrey LowDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.ORCID https://orcid.org/0000-0002-2520-454X
Graciela Muniz-TerreraCentre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.
Karen RitchieCentre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.
Craig W RitchieCentre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.
Li SuDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.
Hugh S MarkusDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
John T O'BrienDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.ORCID https://orcid.org/0000-0002-0837-5080
University of Cambridge · GBUniversity of Edinburgh · GBInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White matter hyperintensities are common radiological findings in ageing and a typical manifestation of cerebral small vessel disease. White matter hyperintensity burden is evaluated by quantifying their volume; however, subtle changes in the white matter may not be captured by white matter hyperintensity volumetry. In this cross-sectional study, we investigated whether magnetic resonance imaging texture of both white matter hyperintensities and normal appearing white matter was associated with reaction time, white matter hyperintensity volume and dementia risk in a midlife cognitively normal population. Data from 183 cognitively healthy midlife adults from the PREVENT-Dementia study (mean age 51.9 ± 5.4; 70% females) were analysed. White matter hyperintensities were segmented from 3 Tesla fluid-attenuated inversion recovery scans using a semi-automated approach. The fluid-attenuated inversion recovery images were bias field corrected and textural features (intensity mean and standard deviation, contrast, energy, entropy, homogeneity) were calculated in white matter hyperintensities and normal appearing white matter based on generated textural maps. Textural features were analysed for associations with white matter hyperintensity volume, reaction time and the Cardiovascular Risk Factors, Aging and Dementia risk score using linear regression models adjusting for age and sex. The extent of normal appearing white matter surrounding white matter hyperintensities demonstrating similar textural associations to white matter hyperintensities was further investigated by defining layers surrounding white matter hyperintensities at increments of 0.86 mm thickness. Lower mean intensity within white matter hyperintensities was a significant predictor of longer reaction time (

Indexed as

preclinical dementiaradiomicssmall vessel diseasetextural analysiswhite matter hyperintensities

Identifiers

PMID35611309
PMCPMC9123845
OpenAlexW4285295923

What OpenQuestion holds

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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.