Evidence map›Paper›PMID 35322152›Full record

ArticleScientific reports2022

Lung tissue biomechanics imaged with synchrotron phase contrast microtomography in live rats.

Jose-Luis Cercos-Pita, Luca Fardin, Hugo Leclerc, Bertrand Maury, Gaetano Perchiazzi, Alberto Bravin, Sam Bayat

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Endothelial Continuum and Capillary Specialization in Pulmonary Vascular Development.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Imaging technologies in experimental pulmonary fibrosis research: essential tool for enhanced translational relevance.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Lung functional imaging.Breathe (Sheffield, England) · 2023
    Article
  14. Article
  15. Review
  16. Review
  17. 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

7 authors.

Jose-Luis Cercos-Pita *Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Luca Fardin *European Synchrotron Radiation Facility, Grenoble, France.
Hugo LeclercLaboratoire de Mathématiques d'Orsay, Université Paris-Saclay, Orsay, France.
Bertrand MauryDépartement de Mathématiques Appliquées, Ecole Normale Supérieure, Université PSL, Paris, France.
Gaetano PerchiazziHedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Alberto BravinPhysics Department, Milano Bicocca University, Milan, Italy.
Sam BayatSynchrotron Radiation for Biomedicine STROBE Inserm UA07, Univ. Grenoble Alpes, Grenoble, France. sbayat@chu-grenoble.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The magnitude and distribution of strain imposed on the peripheral airspaces by mechanical ventilation at the microscopic level and the consequent deformations are unknown despite their importance for understanding the mechanisms occurring at the onset of ventilator-induced lung injury. Here a 4-Dimensional (3D + time) image acquisition and processing technique is developed to assess pulmonary acinar biomechanics at microscopic resolution. Synchrotron radiation phase contrast CT with an isotropic voxel size of 6 µm

Indexed as

SynchrotronsVentilator-Induced Lung InjuryAnimalsBiomechanical PhenomenaLungMicroscopy, Phase-ContrastRats

Identifiers

PMID35322152
PMCPMC8942151

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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.