Evidence map›Paper›PMID 28934236›Full record

ArticlePloS one2017

Automated computer-assisted quantitative analysis of intact murine lungs at the alveolar scale.

Goran Lovric, Ioannis Vogiatzis Oikonomidis, Rajmund Mokso, Marco Stampanoni, Matthias Roth-Kleiner, Johannes C Schittny

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Preclinical hyperpolarizedNMR in biomedicine · 2020
    Article
  9. Article
  10. Article
  11. Imaging cell morphology and physiology using X-rays.Biochemical Society transactions · 2019
    Review
  12. Alveolar Micromechanics in Bleomycin-induced Lung Injury.American journal of respiratory cell and molecular biology · 2018
    Article
  13. Review
  14. Review
  15. 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

6 authors.

Goran LovricCentre d'Imagerie BioMédicale, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0833-4043
Ioannis Vogiatzis OikonomidisSwiss Light Source, Paul Scherrer Institute, 5234 Villigen, Switzerland.
Rajmund MoksoMax IV Laboratory, Lund University, SE-221 00 Lund, Sweden.
Marco StampanoniSwiss Light Source, Paul Scherrer Institute, 5234 Villigen, Switzerland.
Matthias Roth-KleinerClinic of Neonatology, University Hospital of Lausanne (CHUV), 1011 Lausanne, Switzerland.
Johannes C SchittnyInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using state-of-the-art X-ray tomographic microscopy we can image lung tissue in three dimensions in intact animals down to a micrometer precision. The structural complexity and hierarchical branching scheme of the lung at this level of details, however, renders the extraction of biologically relevant quantities particularly challenging. We have developed a methodology for a detailed description of lung inflation patterns by measuring the size and the local curvature of the parenchymal airspaces. These quantitative tools for morphological and topological analyses were applied to high-resolution murine 3D lung image data, inflated at different pressure levels under immediate post mortem conditions. We show for the first time direct indications of heterogeneous intra-lobar and inter-lobar distension patterns at the alveolar level. Furthermore, we did not find any indication that a cyclic opening-and-collapse (recruitment) of a large number of alveoli takes place.

Indexed as

AnimalsAutomationImaging, Three-DimensionalMiceMicroscopyPulmonary AlveoliTomography, X-Ray Computed

Identifiers

PMID28934236
PMCPMC5608210

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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.