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Published in: Intensive Care Medicine 1/2019

01-01-2019 | Imaging in Intensive Care Medicine

A picture’s worth a thousand words: speckle tracking for quantification and assessment of lung sliding

Authors: Gary Duclos, Laurent Muller, Marc Leone, Laurent Zieleskiewicz

Published in: Intensive Care Medicine | Issue 1/2019

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Excerpt

A 19-year-old female was admitted to our intensive care unit for a blunt chest trauma due to a road traffic accident. The whole-body computed tomography scan revealed left-side costal fractures and a left pneumothorax. Two days after pleural drainage, a chest tube was set in gravity causing a decrease in oxygen saturation. We performed a lung ultrasound examination with a linear probe (4 MHz) from Vivid IQ (General Electric, Chicago, IL, USA). Due to the poor echogenicity, we used a speckle-tracking evaluation to quantify lung sliding in spontaneous breathing (Fig. 1). Hence, the quantification of lung sliding is feasible with an important ratio (10×) between normal and abolished lung sliding during spontaneous breathing. To our knowledge, this case is the first assessment of lung sliding using speckle-tracking technology. Lung sliding assessment can be challenging in B-mode ultrasonography. Its quantification with speckle-tracking technology could help make the diagnosis of pneumothorax, opening new perspectives in the field of lung ultrasound.
Metadata
Title
A picture’s worth a thousand words: speckle tracking for quantification and assessment of lung sliding
Authors
Gary Duclos
Laurent Muller
Marc Leone
Laurent Zieleskiewicz
Publication date
01-01-2019
Publisher
Springer Berlin Heidelberg
Published in
Intensive Care Medicine / Issue 1/2019
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-018-5303-9

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