Evidence map›Paper›PMID 34934948›Full record

ArticleRadiology. Cardiothoracic imaging2021

Prevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation.

Francesca Raimondi, Duarte Martins, Raluca Coenen, Elena Panaioli, Diala Khraiche, Nathalie Boddaert, Damien Bonnet, Melany Atkins, Howaida El-Said, Laith Alshawabkeh and 1 more

Open access · greenAbstract read
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Review
  7. Radiology. Cardiothoracic imaging · 2023
    Review
  8. Collaterals in congenital heart disease: when and how to treat?Cardiovascular diagnosis and therapy · 2023
    Review
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

11 authors at 1 institution in 5 countries.

Francesca RaimondiUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.ORCID https://orcid.org/0000-0003-2580-151X
Duarte MartinsUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.ORCID 0000-0003-0662-5629
Raluca CoenenUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.ORCID 0000-0003-2338-1240
Elena PanaioliUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.
Diala KhraicheUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.
Nathalie BoddaertUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.
Damien BonnetUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.ORCID 0000-0002-8722-5805
Melany AtkinsUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.
Howaida El-SaidUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.ORCID 0000-0002-3447-7398
Laith AlshawabkehUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.
Albert HsiaoUnité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de Référence des Maladies Cardiaques Congénitales Complexes-M3C, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., D.K., D.B.); Pediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, Paris, France (F.R., E.P., N.B.); Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France (F.R.); School of Biomedical Engineering & Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, England (F.R.); Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal (D.M.); Radiology and Cardiology Unit, Erasmus MC, Rotterdam, the Netherlands (R.C.); Fairfax Radiological Consultants, Fairfax, Va (M.A.); and Departments of Pediatric Cardiology (H.E.S.), Cardiovascular Medicine (L.A.), and Radiology (A.H.), University of California, San Diego, 9300 Campus Point Dr, Room 7756, La Jolla, CA 92037-7756.ORCID https://orcid.org/0000-0002-9412-1369
Hôpital Necker-Enfants Malades · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the ability of four-dimensional (4D) flow MRI to quantify flow volume of the Fontan circuit, including the frequency and hemodynamic contribution of systemic-to-pulmonary venovenous collateral vessels. MATERIALS AND

methodsIn this retrospective study, patients with Fontan circulation were included from three institutions (2017-2021). Flow measurements were performed at several locations along the circuit by two readers, and collateral shunt volumes were quantified. The frequency of venovenous collaterals and structural defects were tabulated from concurrent MR angiography, contemporaneous CT, or catheter angiography and related to Fontan clinical status. Statistical analysis included Pearson and Spearman correlation and Bland-Altman analysis.

resultsSeventy-five patients (mean age, 20 years; range, 5-58 years; 46 female and 29 male patients) were included. Interobserver agreement was high for aortic output, pulmonary arteries, pulmonary veins, superior vena cava (Glenn shunt), and inferior vena cava (Fontan conduit) (range, ρ = 0.913-0.975). Calculated shunt volume also showed strong agreement, on the basis of the difference between aortic and pulmonary flow (ρ = 0.935). A total of 37 of 75 (49%) of the patients exhibited shunts exceeding 1.00 L/min, 81% (30 of 37) of whom had pulmonary venous or atrial flow volume step-ups and corresponding venovenous collaterals. A total of 12% of patients (nine of 75) exhibited a high-output state (>4 L/min/m

conclusionFontan flow and venovenous shunting can be reliably quantified at 4D flow MRI; high-output states were found in a higher proportion of patients than expected, among whom venovenous collaterals were common and constituted a substantial proportion of cardiac output.

Indexed as

CardiacCongenitalHemodynamics/Flow DynamicsMR AngiographyPediatricsTechnology Assessment

Identifiers

PMID34934948
PMCPMC8686005
OpenAlexW4200350080

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