Evidence map›Paper›PMID 37830589›Full record

ArticleCells2023

Airspace Diameter Map-A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases.

Sanja Blaskovic, Pinelopi Anagnostopoulou, Elena Borisova, Dominik Schittny, Yves Donati, David Haberthür, Zhe Zhou-Suckow, Marcus A Mall, Christian M Schlepütz, Marco Stampanoni and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. The pH-sensitive translocation of V-ATPase in the small airway of cystic fibrosis pigs.American journal of physiology. Lung cellular and molecular physiology · 2024
    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

12 authors at 6 institutions in 3 countries.

Sanja BlaskovicInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland.
Pinelopi AnagnostopoulouMedical School, University of Cyprus, Nicosia 2029, Cyprus.
Elena BorisovaInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0002-1794-3596
Dominik SchittnyInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland.
Yves DonatiDepartment of Pediatrics, Gynecology and Obstetrics, Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1211 Genève, Switzerland.
David HaberthürInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0003-3388-9187
Zhe Zhou-SuckowDepartment of Translational Pulmonology, University Hospital Heidelberg, Translational Lung Research Center (TLRC), A Member of German Center for Lung Research (DZL), 69120 Heidelberg, Germany.
Marcus A MallDepartment of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany.ORCID 0000-0002-4057-2199
Christian M SchlepützSwiss Light Source, Paul Scherrer Institute, 5232 Villigen, Switzerland.ORCID 0000-0002-0485-2708
Marco StampanoniSwiss Light Source, Paul Scherrer Institute, 5232 Villigen, Switzerland.
Constance Barazzone-ArgiroffoDepartment of Pediatrics, Gynecology and Obstetrics, Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1211 Genève, Switzerland.
Johannes C SchittnyInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0003-4025-3961
University of Bern · CHPaul Scherrer Institute · CHUniversity of Geneva · CHGerman Center for Lung Research · DEHeidelberg University · DEUniversity of Cyprus · CY

Funding

Swiss National Science Foundation 159500Swiss National Science Foundation 175953
6 · The paper itself

Abstract

(1) Background: Stereological estimations significantly contributed to our understanding of lung anatomy and physiology. Taking stereology fully 3-dimensional facilitates the estimation of novel parameters. (2) Methods: We developed a protocol for the analysis of all airspaces of an entire lung. It includes (i) high-resolution synchrotron radiation-based X-ray tomographic microscopy, (ii) image segmentation using the free machine-learning tool Ilastik and ImageJ, and (iii) calculation of the airspace diameter distribution using a diameter map function. To evaluate the new pipeline, lungs from adult mice with cystic fibrosis (CF)-like lung disease (βENaC-transgenic mice) or mice with elastase-induced emphysema were compared to healthy controls. (3) Results: We were able to show the distribution of airspace diameters throughout the entire lung, as well as separately for the conducting airways and the gas exchange area. In the pathobiological context, we observed an irregular widening of parenchymal airspaces in mice with CF-like lung disease and elastase-induced emphysema. Comparable results were obtained when analyzing lungs imaged with μCT, sugges-ting that our pipeline is applicable to different kinds of imaging modalities. (4) Conclusions: We conclude that the airspace diameter map is well suited for a detailed analysis of unevenly distri-buted structural alterations in chronic muco-obstructive lung diseases such as cystic fibrosis and COPD.

Indexed as

Cystic FibrosisEmphysemaPulmonary Disease, Chronic ObstructivePulmonary EmphysemaAnimalsLungMicePancreatic ElastasePancreatic Elastaseartificial intelligencecystic fibrosisimage analysislung diseasemicro-computed X-ray tomography/micro-CTpulmonary emphysemastereologyX-ray tomographic microscopy

Identifiers

PMID37830589
PMCPMC10571657
OpenAlexW4387135054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.