Evidence map›Paper›PMID 40779164›Full record

ArticleEuropean radiology2026

Functional patterns of healthy human respiratory dynamics by 3D MR spirometry.

Nathalie Barrau, Adrien Duwat, Catalin Fetita, Killian Sambourg, Antoine Beurnier, Claire Pellot-Barakat, Angéline Nemeth, Brice Fernandez, Tanguy Boucneau, Vincent Lebon and 1 more

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

11 authors.

Nathalie BarrauUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France.
Adrien DuwatUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France.
Catalin FetitaInstitut National des Télécommunications, ARTEMIS, Evry, France.
Killian SambourgUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France.
Antoine BeurnierDepartment of Physiology and Functional Explorations, Hôpital Bicêtre, APHP, Kremlin-Bicêtre, France.
Claire Pellot-BarakatUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France.
Angéline NemethUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France.
Brice FernandezGE HealthCare, Buc, France.
Tanguy BoucneauGE HealthCare, Buc, France.
Vincent LebonUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France.
Xavier MaîtreUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Orsay, France. xavier.maitre@universite-paris-saclay.fr.ORCID http://orcid.org/0000-0003-2796-4208

Funding

Commissariat à l'Énergie Atomique et aux Énergies Alternatives 21P68France Life Imaging ANR-11-INBS-0006HORIZON EUROPE European Innovation Council 101099934
6 · The paper itself

Abstract

objectivesFunctional pulmonary MRI can assess the pathophysiology of regional ventilation, provided that nominal ventilatory patterns are characterised as a baseline. This study investigates common features and their associated gravity dependence using 3D MR spirometry in freely breathing healthy volunteers. MATERIALS AND

methodsRepeated dynamic lung MR acquisitions were performed at 3 T on 25 healthy volunteers breathing freely in the supine and prone positions. Three-dimensional maps of tidal volumes (TV), peak expiratory flows (SPEF), expiratory flows at 25% of tidal volume (SEF25), and anisotropy deformation index (ADI) were inferred and normalised. Intra- and inter-volunteer reproducibility was evaluated using percentage differences (PD) and intraclass correlation coefficients (ICC), while gravity dependence was tested using a paired Wilcoxon test.

resultsTwenty-five volunteers (mean age, 45 years ± 17 [standard deviation]; 15 males) were included. Respiratory parametric maps are found spatially inhomogeneous throughout each volunteer's lung, with large coefficients of variation ranging between 30 and 63%. Yet, the main respiratory patterns are shared among volunteers with common features primarily governed by lung gravity dependence for TV, SPEF, and SEF25 (p < 0.05). Spirometry biomarkers are globally repeatable despite intrinsic physiological variabilities (median PD: 5.7-9.2%, ICC: 0.71-0.88), and fairly repeatable locally after normalisations (median PD: 11-19%, ICC: 0.78-0.90).

conclusion3D MR spirometry exhibits shared respiratory features between individuals with gravity dependence. Intra-volunteer repeatability and global accuracy were found, demonstrating the reliability of the technique. A new baseline is established for regional lung pathophysiology. KEY POINTS: Question Nominal ventilatory patterns in free breathing need to be characterised for regional pathophysiology. Findings Functional ventilatory maps showed significant inhomogeneity, but key patterns, primarily governed by gravity, were consistent across subjects. 3D MR spirometry demonstrated reliability despite physiological variability. Clinical relevance 3D MR spirometry is a reliable technique for absolute quantification of the regional ventilation and its dynamic. Nominal spatial patterns of the ventilation should be considered for assessing regional pathophysiology in free breathing.

Indexed as

Imaging, Three-DimensionalLungMagnetic Resonance ImagingRespirationSpirometryAdultFemaleHealthy VolunteersHumansMaleMiddle AgedReproducibility of ResultsTidal VolumeFunctional lung MRIGravity lung dependenceProspective clinical studyQuantitative imagingRegional ventilation

Identifiers

PMID40779164
PMCPMC12953252

What OpenQuestion holds

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Registered trials

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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.