Evidence map›Paper›PMID 24519657›Full record

ArticleMagma (New York, N.Y.)2014

Quantitative lung ventilation using Fourier decomposition MRI; comparison and initial study.

Åsmund Kjørstad, Dominique M R Corteville, Thomas Henzler, Gerald Schmid-Bindert, Erlend Hodneland, Frank G Zöllner, Lothar R Schad

Abstract readComparative StudyControlled Clinical Trial
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Functional Pulmonary Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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

7 authors.

Åsmund KjørstadComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany, asmund.kjorstad@medma.uni-heidelberg.de.
Dominique M R Corteville
Thomas Henzler
Gerald Schmid-Bindert
Erlend Hodneland
Frank G Zöllner
Lothar R Schad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Fourier decomposition (FD) method is a noninvasive method for assessing ventilation and perfusion-related information in the lungs, but the lack of quantifiable values is a drawback. We demonstrate a novel technique for quantification of the FD ventilation maps, compare it to two published methods, and show results from both healthy volunteers and patients diagnosed with lung cancer. MATERIALS AND

methodsWe quantified the standard FD ventilation images by utilizing additional information, i.e., the zero-frequency component image, which is also obtained from the Fourier analysis. This image acts as a baseline for the changes recorded in the FD ventilation image and can therefore be used to calculate the ventilation. Using this technique, we compared the ventilation values from ten healthy volunteers and ten patients to two previously published methods for quantitative ventilation assessment.

resultsAll methods showed good overall agreement (mean difference between the methods was 14-38 ml/min). The mean minute ventilation for the FD method was calculated to be 693 ml/min for a 2D slice, which is in the expected range.

conclusionThe zero-frequency component image can be used as a baseline to quantify the FD ventilation maps. Our initial study showed good agreement with published methods in healthy volunteers, but less so in patients with lung cancer.

Indexed as

AlgorithmsFourier AnalysisPulmonary VentilationHumansImage EnhancementImage Interpretation, Computer-AssistedLungLung NeoplasmsMagnetic Resonance ImagingPattern Recognition, AutomatedPilot ProjectsReproducibility of ResultsSensitivity and Specificity

Identifiers

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.