Evidence map›Paper›PMID 26012876›Full record

ArticleJournal of magnetic resonance imaging : JMRI2015

Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.

Sabrina Doblas, Gilberto S Almeida, François-Xavier Blé, Philippe Garteiser, Benjamin A Hoff, Dominick J O McIntyre, Lydia Wachsmuth, Thomas L Chenevert, Cornelius Faber, John R Griffiths and 6 more

Abstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
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  3. Automated quality control of small animal MR neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024
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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

16 authors.

Sabrina DoblasLaboratory of imaging biomarkers, UMR 1149 - CRI, Inserm, Paris Diderot University, Paris, France.
Gilberto S AlmeidaDivision of Radiotherapy and Imaging, Institute of Cancer Research, London, UK.
François-Xavier BléPersonalised Healthcare & Biomarkers, AstraZeneca, Macclesfield, UK.
Philippe GarteiserLaboratory of imaging biomarkers, UMR 1149 - CRI, Inserm, Paris Diderot University, Paris, France.
Benjamin A HoffDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Dominick J O McIntyreCRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
Lydia WachsmuthDepartment of Clinical Radiology, Münster University Hospital, Westfälische Wilhelms-Universität, Münster, Germany.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Cornelius FaberDepartment of Clinical Radiology, Münster University Hospital, Westfälische Wilhelms-Universität, Münster, Germany.
John R GriffithsCRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
Andreas H JacobsEuropean Institute for Molecular Imaging, Westfälische Wilhelms-Universität, Münster, Germany.
David M MorrisCentre for Imaging Sciences, University of Manchester, Manchester, UK.
James P B O'ConnorInstitute of Cancer Sciences, University of Manchester, Manchester, UK.
Simon P RobinsonDivision of Radiotherapy and Imaging, Institute of Cancer Research, London, UK.
Bernard E Van BeersLaboratory of imaging biomarkers, UMR 1149 - CRI, Inserm, Paris Diderot University, Paris, France.
John C WatertonCentre for Imaging Sciences, University of Manchester, Manchester, UK.

Funding

Quantitative DW-MRI for Early Breast Cancer Treatment Response AssessmentU01CA166104 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, GALBAN, CRAIG J · 2012 to 2019
$4.1M
Biotechnology and Biological Sciences Research Council BB/F011350/1Cancer Research UK 11562Cancer Research UK 16464Cancer Research UK 16465Cancer Research UK 18097Cancer Research UK C14303/A17197Department of Health C1060/A16464Medical Research CouncilNCI NIH HHS U01 CA166104NCI NIH HHS U01CA166104
6 · The paper itself

Abstract

purposeTo evaluate between-site agreement of apparent diffusion coefficient (ADC) measurements in preclinical magnetic resonance imaging (MRI) systems. MATERIALS AND

methodsA miniaturized thermally stable ice-water phantom was devised. ADC (mean and interquartile range) was measured over several days, on 4.7T, 7T, and 9.4T Bruker, Agilent, and Magnex small-animal MRI systems using a common protocol across seven sites. Day-to-day repeatability was expressed as percent variation of mean ADC between acquisitions. Cross-site reproducibility was expressed as 1.96 × standard deviation of percent deviation of ADC values.

resultsADC measurements were equivalent across all seven sites with a cross-site ADC reproducibility of 6.3%. Mean day-to-day repeatability of ADC measurements was 2.3%, and no site was identified as presenting different measurements than others (analysis of variance [ANOVA] P = 0.02, post-hoc test n.s.). Between-slice ADC variability was negligible and similar between sites (P = 0.15). Mean within-region-of-interest ADC variability was 5.5%, with one site presenting a significantly greater variation than the others (P = 0.0013).

conclusionAbsolute ADC values in preclinical studies are comparable between sites and equipment, provided standardized protocols are employed.

Indexed as

Diffusion Magnetic Resonance ImagingEquipment DesignEquipment Failure AnalysisEuropeImage EnhancementImage Interpretation, Computer-AssistedPhantoms, ImagingUnited Statesapparent diffusion coefficientimaging biomarkerpreclinical MRIrepeatabilityreproducibility

Identifiers

PMID26012876
PMCPMC5968828

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.