Evidence map›Paper›PMID 23188058›Full record

ArticleChest2013

Using thoracic ultrasonography to accurately assess pneumothorax progression during positive pressure ventilation: a comparison with CT scanning.

Nils Petter Oveland, Hans Morten Lossius, Kristian Wemmelund, Paal Johan Stokkeland, Lars Knudsen, Erik Sloth

Abstract readComparative Study
In one paragraph

Article in Chest, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Article
  3. Pneumothorax and Hemothorax: Practical Approaches for Radiologists.Journal of the Korean Society of Radiology · 2026
    Review
  4. Article
  5. Review
  6. Lung Sonography in Critical Care Medicine.Diagnostics (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Accuracy of Resident-Performed Point-of-Care Lung Ultrasound Examinations Versus Chest Radiography in Pneumothorax Follow-up After Tube Thoracostomy in Rwanda.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2020
    Observational
  11. Article
  12. Review
  13. How should we monitor patients with acute respiratory failure treated with noninvasive ventilation?European respiratory review : an official journal of the European Respiratory Society · 2018
    Review
  14. Lung Ultrasound in the Critically Ill.Korean journal of critical care medicine · 2017
    Article
  15. The efficacy of bedside chest ultrasound: from accuracy to outcomes.European respiratory review : an official journal of the European Respiratory Society · 2016
    Review
  16. Article
  17. Bedside ultrasonography for diagnosis of pneumothorax.Quantitative imaging in medicine and surgery · 2015
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nils Petter OvelandDepartment of Research and Development, Norwegian Air Ambulance Foundation, Droebak, Norway; Department of Anesthesiology and Intensive Care, Stavanger University Hospital, Stavanger, Norway. Electronic address: nils.petter.oveland@norskluftambulanse.no.
Hans Morten LossiusDepartment of Research and Development, Norwegian Air Ambulance Foundation, Droebak, Norway; Department of Surgical Sciences, University of Bergen, Bergen, Norway.
Kristian WemmelundFaculty of Health Sciences, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Paal Johan StokkelandDepartment of Radiology, Stavanger University Hospital, Stavanger, Norway.
Lars KnudsenDepartment of Anesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark.
Erik SlothFaculty of Health Sciences, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Anesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough thoracic ultrasonography accurately determines the size and extent of occult pneumothoraces (PTXs) in spontaneously breathing patients, there is uncertainty about patients receiving positive pressure ventilation. We compared the lung point (ie, the area where the collapsed lung still adheres to the inside of the chest wall) using the two modalities ultrasonography and CT scanning to determine whether ultrasonography can be used reliably to assess PTX progression in a positive-pressure-ventilated porcine model.

methodsAir was introduced in incremental steps into fi ve hemithoraces in three intubated porcine models. The lung point was identified on ultrasound imaging and referenced against the lateral limit of the intrapleural air space identified on the CT scans. The distance from the sternum to the lung point (S-LP) was measured on the CT scans and correlated to the insufflated air volume.

resultsThe mean total difference between the 131 ultrasound and CT scan lung points was 6.8 mm (SD, 7.1 mm; range, 0.0-29.3 mm). A mixed-model regression analysis showed a linear relationship between the S-LP distances and the PTX volume ( P , .001).

conclusionsIn an experimental porcine model, we found a linear relation between the PTX size and the lateral position of the lung point. The accuracy of thoracic ultrasonography for identifying the lung point (and, thus, the PTX extent) was comparable to that of CT imaging. These clinically relevant results suggest that ultrasonography may be safe and accurate in monitoring PTX progression during positive pressure ventilation.

Indexed as

Disease ProgressionPositive-Pressure RespirationAnimalsFemaleLungModels, AnimalPneumothoraxRegression AnalysisReproducibility of ResultsSwineThoracic WallTomography, X-Ray ComputedUltrasonography

Identifiers

PMID23188058
PMCPMC3566995

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.