Evidence map›Paper›PMID 24819368›Full record

ArticlePloS one2014

ADC histograms from routine DWI for longitudinal studies in cerebral small vessel disease: a field study in CADASIL.

Bence Gunda, Raphael Porcher, Marco Duering, Jean-Pierre Guichard, Jerome Mawet, Eric Jouvent, Martin Dichgans, Hugues Chabriat

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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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 6 institutions in 3 countries.

Bence GundaDepartment of Neurology, Semmelweis University, Budapest, Hungary; Department of Neurology, CHU Lariboisière, DHU NeuroVasc, APHP and Université Paris Denis-Diderot, Paris, France.
Raphael PorcherUniversité Paris Descartes, Paris, France.
Marco DueringInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany.
Jean-Pierre GuichardDepartment of Neuroradiology, CHU Lariboisière, DHU NeuroVasc, APHP and Université Paris Denis-Diderot, Paris, France.
Jerome MawetDepartment of Neurology, CHU Lariboisière, DHU NeuroVasc, APHP and Université Paris Denis-Diderot, Paris, France.
Eric JouventINSERM UMR 1161, Paris, France.
Martin DichgansInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany; Munich Cluster for Systems Neurology, Munich, Germany.
Hugues ChabriatDepartment of Neurology, CHU Lariboisière, DHU NeuroVasc, APHP and Université Paris Denis-Diderot, Paris, France; INSERM UMR 1161, Paris, France.
Assistance Publique – Hôpitaux de Paris · FRInserm · FRDélégation Paris 5 · FRLudwig-Maximilians-Universität München · DEMunich Cluster for Systems Neurology · DESemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) histogram metrics are correlated with clinical parameters in cerebral small vessel diseases (cSVD). Whether ADC histogram parameters derived from simple diffusion weighted imaging (DWI) can provide relevant markers for long term studies of cSVD remains unknown. CADASIL patients were evaluated by DWI and DTI in a large cohort study over a 6-year period. ADC histogram parameters were compared to those derived from mean diffusivity (MD) histograms in 280 patients using intra-class correlation and Bland-Altman plots. Impact of image corrections applied to ADC maps was assessed and a mixed effect model was used for analyzing the effects of scanner upgrades. The results showed that ADC histogram parameters are strongly correlated to MD histogram parameters and that image corrections have only limited influence on these results. Unexpectedly, scanner upgrades were found to have major effects on diffusion measures with DWI or DTI that can be even larger than those related to patients' characteristics. These data support that ADC histograms from daily used DWI can provide relevant parameters for assessing cSVD, but the variability related to scanner upgrades as regularly performed in clinical centers should be determined precisely for longitudinal and multicentric studies using diffusion MRI in cSVD.

Indexed as

Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedCADASILCohort StudiesFemaleHumansLongitudinal StudiesMaleProbability

Identifiers

PMID24819368
PMCPMC4018248
OpenAlexW2003150716

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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.