Evidence map›Paper›PMID 31359081›Full record

Observational studyIntensive care medicine2019

Speckle tracking quantification of lung sliding for the diagnosis of pneumothorax: a multicentric observational study.

Gary Duclos, Xavier Bobbia, Thibaut Markarian, Laurent Muller, Camille Cheyssac, Sarah Castillon, Noémie Resseguier, Alain Boussuges, Giovanni Volpicelli, Marc Leone and 1 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Intensive care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04648657 (Lung Ultrasound for Diagnosis of Lung Overdistension in Acute Hypoxaemic Respiratory Failure), which is not on this 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.

NCT04648657 completednot on this mapstarted 2021, after this paper: background citation

Lung Ultrasound for Diagnosis of Lung Overdistension in Acute Hypoxaemic Respiratory Failure

TypeobservationalSponsorUniversity of PadovaRan2021 to 2021Enrolled30ConditionsHypoxic Respiratory FailureArmsLung Ultrasound, Electric impedance tomography
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Overview of Lung Ultrasound in Pediatric Cardiology.Diagnostics (Basel, Switzerland) · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Focus on ultrasound in intensive care.Intensive care medicine · 2020
    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.

Gary DuclosDepartment of Anesthesiology and Intensive Care Medicine, Aix-Marseille University, Assistance Publique Hôpitaux de Marseille, Hôpital Nord, Marseille, France. gary.duclos@ap-hm.fr.ORCID 0000-0002-3305-0077
Xavier BobbiaDepartment of Anesthesiology, Emergency and Critical Care Medicine, Intensive Care Unit, Nîmes University Hospital, 30029, Nîmes, France.
Thibaut MarkarianDepartment of Emergency Medicine and Intensive Care, Aix-Marseille University, Assistance Publique Hôpitaux de Marseille, Timone University Hospital, Marseille, France.
Laurent MullerDepartment of Anesthesiology, Emergency and Critical Care Medicine, Intensive Care Unit, Nîmes University Hospital, 30029, Nîmes, France.
Camille CheyssacDepartment of Anesthesiology and Intensive Care Medicine, Aix-Marseille University, Assistance Publique Hôpitaux de Marseille, Hôpital Nord, Marseille, France.
Sarah CastillonDepartment of Anesthesiology and Intensive Care Medicine, Aix-Marseille University, Assistance Publique Hôpitaux de Marseille, Hôpital Nord, Marseille, France.
Noémie ResseguierSupport Unit for Clinical Research and Economic Evaluation, Assistance Publique-Hôpitaux de Marseille, Marseille, France.
Alain BoussugesService des Explorations fonctionnelles respiratoires, CHU Nord, Pôle thoracique et cardio-vasculaire, Assistance publique des Hôpitaux de Marseille, Marseille, France.
Giovanni VolpicelliDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Turin, Italy.
Marc LeoneDepartment of Anesthesiology and Intensive Care Medicine, Aix-Marseille University, Assistance Publique Hôpitaux de Marseille, Hôpital Nord, Marseille, France.
Laurent ZieleskiewiczDepartment of Anesthesiology and Intensive Care Medicine, Aix-Marseille University, Assistance Publique Hôpitaux de Marseille, Hôpital Nord, Marseille, France. laurent.zieleskiewicz@ap-hm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLung ultrasound is used for the diagnosis of pneumothorax, based on lung sliding abolition which is a qualitative and operator-dependent assessment. Speckle tracking allows the quantification of structure deformation over time by analysing acoustic markers. We aimed to test the ability of speckle tracking technology to quantify lung sliding in a selected cohort of patients and to observe how the technology may help the process of pneumothorax diagnosis.

methodsWe performed retrospectively a pleural speckle tracking analysis on ultrasound loops from patients with pneumothorax. We compared the values measured by two observers from pneumothorax side with contralateral normal lung side. The receiver operating characteristic (ROC) curve was constructed to evaluate the performance of maximal pleural strain to detect the lung sliding abolition. Diagnosis performance and time to diagnosis between B-Mode and speckle tracking technology were compared from a third blinded observer.

resultsWe analysed 104 ultrasound loops from 52 patients. The area under the ROC curve of the maximal pleural strain value to identify lung sliding abolition was 1.00 [95%CI 1.00; 1.00]. Specificity was 100% [95%CI 93%; 100%] and sensitivity was 100% [95%CI 93%; 100%] with the best cut-off of 4%. Over 104 ultrasound loops, the blinded observer made two errors with B-Mode and none with speckle tracking. The median diagnosis time was 3 [2-5] seconds for B-Mode versus 2 [1-2] seconds for speckle tracking (p = 0.001).

conclusionSpeckle tracking technology allows lung sliding quantification and detection of lung sliding abolition in case of pneumothorax on selected ultrasound loops.

Indexed as

Diagnostic ImagingFranceHumansLungPneumothoraxPoint-of-Care SystemsRetrospective StudiesROC CurveUltrasonographyLung slidingPneumothoraxPoint-of-care lung ultrasoundSpeckle tracking

Identifiers

What OpenQuestion holds

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Registered trials

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.