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M-mode ultrasound for the detection of pneumothorax during helicopter transport

*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Background: The presence of the sonographic sliding lung sign (SLS) is a sensitive indicator for the absence of a pneumothorax. The addition of M-mode ultrasound (US) can be a useful adjunct in detecting the SLS. Objective: The objective of this study is to determine the feasibility of using M-mode US in evaluating the SLS during helicopter transport. Methods: A model simulating human lung was used during image acquisition. M-mode images of the SLS were obtained during 3 distinct phases of transport: without rotor rotation, with rotor rotation while on the ground, and at level flight. Four US-credentialed emergency physicians evaluated M-mode US tracings of the model along with examples from human lungs, both with and without pneumothorax, in random fashion. Results: A total of 104 images were reviewed (26 images per reviewer). All of the M-mode images were correctly identified. Motion artifact was noted on the M-mode tracings taken during rotor rotation, which was greatest during level flight. The rotor artifact was not felt to affect the diagnostic utility of the M-mode US tracing. Conclusion: M-mode US may be used successfully to detect the SLS during helicopter transport.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1577-1580 (4 pages)

Journal (Volume, Issue Number)

American Journal of Emergency Medicine (Volume 30, Issue 8)

Publication milestones

  • Published - 10/2012

Publication status

Published - 10/2012

ISSN

0735-6757

Publication IDs

  • Scopus: 84869451092
  • PubMed: 22033387

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
1.48
SciVal
Author count
3
SciVal
citations
15
SciVal
Paper percentile
73
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
1

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Citation count
23
Captures
26