Evidence map›Paper›PMID 31172247›Full record

ReviewDer Radiologe2019

Ten years of chest MRI for patients with cystic fibrosis : Translation from the bench to clinical routine.

Patricia Leutz-Schmidt, Monika Eichinger, Mirjam Stahl, Olaf Sommerburg, Jürgen Biederer, Hans-Ulrich Kauczor, Michael U Puderbach, Marcus A Mall, Mark O Wielpütz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  4. MR imaging of the airways.The British journal of radiology · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. 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

9 authors.

Patricia Leutz-SchmidtDepartment of Diagnostic and Interventional Radiology, Subdivision Pulmonary Imaging, University Hospital of Heidelberg, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. Patricia.Leutz@med.uni-heidelberg.de.
Monika EichingerDepartment of Diagnostic and Interventional Radiology, Subdivision Pulmonary Imaging, University Hospital of Heidelberg, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Mirjam StahlTranslational Lung Research Center Heidelberg (TLRC), German Lung Research Center (DZL), Im Neuenheimer Feld 156, 69120, Heidelberg, Germany.
Olaf SommerburgTranslational Lung Research Center Heidelberg (TLRC), German Lung Research Center (DZL), Im Neuenheimer Feld 156, 69120, Heidelberg, Germany.
Jürgen BiedererDepartment of Diagnostic and Interventional Radiology, Subdivision Pulmonary Imaging, University Hospital of Heidelberg, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, Subdivision Pulmonary Imaging, University Hospital of Heidelberg, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Michael U PuderbachDepartment of Diagnostic and Interventional Radiology, Subdivision Pulmonary Imaging, University Hospital of Heidelberg, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Marcus A MallTranslational Lung Research Center Heidelberg (TLRC), German Lung Research Center (DZL), Im Neuenheimer Feld 156, 69120, Heidelberg, Germany.
Mark O WielpützDepartment of Diagnostic and Interventional Radiology, Subdivision Pulmonary Imaging, University Hospital of Heidelberg, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite recent advances in our knowledge about the pathophysiology and treatment of cystic fibrosis (CF), pulmonary involvement remains the most important determinant of morbidity and mortality in patients with CF. Since lung function testing may not be sensitive enough for subclinical disease progression, and because young children may have normal spirometry results over a longer period of time, imaging today plays an increasingly important role in clinical routine and research for the monitoring of CF lung disease. In this regard, chest magnetic resonance imaging (MRI) could serve as a radiation-free modality for structural and functional lung imaging.

methodsOur research agenda encompassed the entire process of development, implementation, and validation of appropriate chest MRI protocols for use with infant and adult CF patients alike.

resultsAfter establishing a general MRI protocol for state-of-the-art clinical 1.5-T scanners based on the available sequence technology, a semiquantitative scoring system was developed followed by cross-validation of the method against the established modalities of computed tomography, radiography, and lung function testing. Cross-sectional studies were then set up to determine the sensitivity of the method for the interindividual variation of the disease and for changes in disease severity after treatment. Finally, the MRI protocol was implemented at multiple sites to be validated in a multicenter setting.

conclusionAfter more than a decade, lung MRI has become a valuable tool for monitoring CF in clinical routine application and as an endpoint for clinical studies.

Indexed as

Cystic FibrosisAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantLungMagnetic Resonance ImagingMaleTomography, X-Ray ComputedChestFunctional imagingLungMagnetic resonance imagingValidation

Identifiers

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.