Evidence map›Paper›PMID 35514781›Full record

ArticlePulmonary circulation2022

A dual center and dual vendor comparison study of automated perfusion-weighted phase-resolved functional lung magnetic resonance imaging with dynamic contrast-enhanced magnetic resonance imaging in patients with cystic fibrosis.

Lea Behrendt, Laurie J Smith, Andreas Voskrebenzev, Filip Klimeš, Till F Kaireit, Gesa H Pöhler, Agilo L Kern, Cristian Crisosto Gonzalez, Anna-Maria Dittrich, Helen Marshall and 6 more

Open access · goldAbstract read
In one paragraph

Article in Pulmonary circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  12. Functional Pulmonary Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
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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 at 4 institutions in 3 countries.

Lea BehrendtDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.ORCID 0000-0001-8851-1849
Laurie J SmithDepartment of Infection, Immunity and Cardiovascular Disease, POLARIS, Imaging Sciences University of Sheffield Sheffield UK.
Andreas VoskrebenzevDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.
Filip KlimešDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.
Till F KaireitDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.
Gesa H PöhlerDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.
Agilo L KernDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.ORCID 0000-0003-4157-9808
Cristian Crisosto GonzalezDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.
Anna-Maria DittrichBiomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH) German Center for Lung Research (DZL) Hannover Germany.
Helen MarshallDepartment of Infection, Immunity and Cardiovascular Disease, POLARIS, Imaging Sciences University of Sheffield Sheffield UK.
Katharina SchützDepartment for Pediatric Pulmonology, Allergology and Neonatology Hannover Medical School Hannover Germany.
Paul J C HughesDepartment of Infection, Immunity and Cardiovascular Disease, POLARIS, Imaging Sciences University of Sheffield Sheffield UK.
Pierluigi CietDepartment of Pediatric Pulmonology and Allergology Sophia Children's Hospital, Erasmus MC Rotterdam The Netherlands.
Harm A W M TiddensDepartment of Pediatric Pulmonology and Allergology Sophia Children's Hospital, Erasmus MC Rotterdam The Netherlands.
Jim M WildDepartment of Infection, Immunity and Cardiovascular Disease, POLARIS, Imaging Sciences University of Sheffield Sheffield UK.
Jens Vogel-ClaussenDepartment for Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany.
Medizinische Hochschule Hannover · DEUniversity of Sheffield · GBErasmus MC · NLErasmus MC - Sophia Children’s Hospital · NL

Funding

British Heart Foundation SP/14/6/31350Medical Research Council MR/M008894/1
6 · The paper itself

Abstract

For sensitive diagnosis and monitoring of pulmonary disease, ionizing radiation-free imaging methods are of great importance. A noncontrast and free-breathing proton magnetic resonance imaging (MRI) technique for assessment of pulmonary perfusion is phase-resolved functional lung (PREFUL) MRI. Since there is no validation of PREFUL MRI across different centers and scanners, the purpose of this study was to compare perfusion-weighted PREFUL MRI with the well-established dynamic contrast-enhanced (DCE) MRI across two centers on scanners from two different vendors. Sixteen patients with cystic fibrosis (CF) (Center 1: 10 patients; Center 2: 6 patients) underwent PREFUL and DCE MRI at 1.5T in the same imaging session. Normalized perfusion-weighted values and perfusion defect percentage (QDP) values were calculated for the whole lung and three central slices (dorsal, central, ventral of the carina). Obtained parameters were compared using Pearson correlation, Spearman correlation, Bland-Altman analysis, Wilcoxon signed-rank test, and Wilcoxon rank-sum test. Moderate-to-strong correlations between normalized perfusion-weighted PREFUL and DCE values were found (posterior slice:

Indexed as

Fourier decompositionfree‐breathing proton MRIpulmonary MRI

Identifiers

PMID35514781
PMCPMC9063970
OpenAlexW4220718921

What OpenQuestion holds

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LicenceCC BY-NC
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.