Evidence map›Paper›PMID 34331054›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2022

Non-invasive characterization of pleural and pericardial effusions using T1 mapping by magnetic resonance imaging.

Stefania Rosmini, Andreas Seraphim, Kristopher Knott, James T Brown, Daniel S Knight, Sameer Zaman, Graham Cole, Daniel Sado, Gabriella Captur, Ana Caterina Gomes and 8 more

Open access · greenAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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  8. Normal values for native TEuropean heart journal. Imaging methods and practice · 2023
    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

18 authors at 5 institutions in 2 countries.

Stefania RosminiDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.ORCID 0000-0002-5682-7950
Andreas SeraphimDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Kristopher KnottDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
James T BrownRoyal Free London NHS Foundation Trust, Pond St, London NW3 2QG, UK.
Daniel S KnightRoyal Free London NHS Foundation Trust, Pond St, London NW3 2QG, UK.
Sameer ZamanImperial College London, Imperial College, Healthcare NHS Trust, South Kensington, London SW7 2BX, UK.
Graham ColeImperial College London, Imperial College, Healthcare NHS Trust, South Kensington, London SW7 2BX, UK.ORCID 0000-0002-3157-0335
Daniel SadoKing's College Hospital NHS Trust Foundation, Denmark Hill, London SE5 9RS, UK.ORCID 0000-0002-7065-3942
Gabriella CapturDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.ORCID 0000-0002-5662-0642
Ana Caterina GomesDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Filip ZemrakDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Thomas A TreibelDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Lizette CashDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Veronica CulottaDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Constantinos O'MahonyDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Peter KellmanNational Heart, Lung and Blood Institute, National Institutes of Health, Medical Signal and Imaging Processing Program, 10 Center Dr, Bethesda, MD 20814, USA.ORCID 0000-0002-9875-6070
James C MoonDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.
Charlotte ManistyDepartment of Cardiac Imaging, Barts Heart Centre, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK.ORCID 0000-0003-0245-7090
St Bartholomew's Hospital · GBImperial College Healthcare NHS Trust · GBRoyal Free London NHS Foundation Trust · GBKing's College Hospital NHS Foundation Trust · GBNational Institutes of Health · US

Funding

Gadgetron Global Network and Intelligence Computing: Clinical Imaging Application Development and Software InfrastructureZIAHL006214 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2016 to 2025
$7.3M
Gadgetron Global Network and Artificial Intelligence Powered Cardiac ImagingZIAHL006242 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2019 to 2023
$2.2M
British Heart Foundation FS/18/83/34025British Heart Foundation FS/19/35/34374British Heart Foundation FS/CRTF/21/24134
6 · The paper itself

Abstract

aimsDifferentiating exudative from transudative effusions is clinically important and is currently performed via biochemical analysis of invasively obtained samples using Light's criteria. Diagnostic performance is however limited. Biochemical composition can be measured with T1 mapping using cardiovascular magnetic resonance (CMR) and hence may offer diagnostic utility for assessment of effusions. METHODS AND

resultsA phantom consisting of serially diluted human albumin solutions (25-200 g/L) was constructed and scanned at 1.5 T to derive the relationship between fluid T1 values and fluid albumin concentration. Native T1 values of pleural and pericardial effusions from 86 patients undergoing clinical CMR studies retrospectively analysed at four tertiary centres. Effusions were classified using Light's criteria where biochemical data was available (n = 55) or clinically in decompensated heart failure patients with presumed transudative effusions (n = 31). Fluid T1 and protein values were inversely correlated both in the phantom (r = -0.992) and clinical samples (r = -0.663, P < 0.0001). T1 values were lower in exudative compared to transudative pleural (3252 ± 207 ms vs. 3596 ± 213 ms, P < 0.0001) and pericardial (2749 ± 373 ms vs. 3337 ± 245 ms, P < 0.0001) effusions. The diagnostic accuracy of T1 mapping for detecting transudates was very good for pleural and excellent for pericardial effusions, respectively [area under the curve 0.88, (95% CI 0.764-0.996), P = 0.001, 79% sensitivity, 89% specificity, and 0.93, (95% CI 0.855-1.000), P < 0.0001, 95% sensitivity; 81% specificity].

conclusionNative T1 values of effusions measured using CMR correlate well with protein concentrations and may be helpful for discriminating between transudates and exudates. This may help focus the requirement for invasive diagnostic sampling, avoiding unnecessary intervention in patients with unequivocal transudative effusions.

Indexed as

Pericardial EffusionPleural EffusionExudates and TransudatesHumansMagnetic Resonance ImagingRetrospective Studiesexudatepericardial effusionpleural effusionT1 mappingtransudate

Identifiers

PMID34331054
PMCPMC9612798
OpenAlexW3183341166

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.