<div class="csl-bib-body">
<div class="csl-entry">Boehme, S., Toemboel, F. P. R., Hartmann, E. K., Bentley, A. H., Weinheimer, O., Yang, Y., Achenbach, T., Hagmann, M., Kaniusas, E., Baumgardner, J. E., & Markstaller, K. (2018). Detection of inspiratory recruitment of atelectasis by automated lung sound analysis as compared to four-dimensional computed tomography in a porcine lung injury model. <i>Critical Care</i>, <i>22</i>(50). https://doi.org/10.1186/s13054-018-1964-6</div>
</div>
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dc.identifier.issn
1364-8535
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/144920
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dc.description.abstract
Background
Cyclic recruitment and de-recruitment of atelectasis (c-R/D) is a contributor to ventilator-induced lung injury (VILI). Bedside detection of this dynamic process could improve ventilator management. This study investigated the potential of automated lung sound analysis to detect c-R/D as compared to four-dimensional computed tomography (4DCT).
Methods
In ten piglets (25 ± 2 kg), acoustic measurements from 34 thoracic piezoelectric sensors (Meditron ASA, Norway) were performed, time synchronized to 4DCT scans, at positive end-expiratory pressures of 0, 5, 10, and 15 cmH2O during mechanical ventilation, before and after induction of c-R/D by surfactant washout. 4DCT was post-processed for within-breath variation in atelectatic volume (Δ atelectasis) as a measure of c-R/D. Sound waveforms were evaluated for: 1) dynamic crackle energy (dCE): filtered crackle sounds (600–700 Hz); 2) fast Fourier transform area (FFT area): spectral content above 500 Hz in frequency and above −70 dB in amplitude in proportion to the total amount of sound above −70 dB amplitude; and 3) dynamic spectral coherence (dSC): variation in acoustical homogeneity over time. Parameters were analyzed for global, nondependent, central, and dependent lung areas.
Results
In healthy lungs, negligible values of Δ atelectasis, dCE, and FFT area occurred. In lavage lung injury, the novel dCE parameter showed the best correlation to Δ atelectasis in dependent lung areas (R2 = 0.88) where c-R/D took place. dCE was superior to FFT area analysis for each lung region examined. The analysis of dSC could predict the lung regions where c-R/D originated.
Conclusions
c-R/D is associated with the occurrence of fine crackle sounds as demonstrated by dCE analysis. Standardized computer-assisted analysis of dCE and dSC seems to be a promising method for depicting c-R/D.
en
dc.language.iso
en
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dc.publisher
BMC
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dc.relation.ispartof
Critical Care
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dc.subject
Critical Care and Intensive Care Medicine
en
dc.title
Detection of inspiratory recruitment of atelectasis by automated lung sound analysis as compared to four-dimensional computed tomography in a porcine lung injury model
en
dc.type
Artikel
de
dc.type
Article
en
dc.type.category
Original Research Article
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tuw.container.volume
22
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tuw.container.issue
50
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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wb.publication.intCoWork
International Co-publication
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tuw.researchTopic.id
X1
-
tuw.researchTopic.name
außerhalb der gesamtuniversitären Forschungsschwerpunkte
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tuw.researchTopic.value
100
-
dcterms.isPartOf.title
Critical Care
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tuw.publication.orgunit
E363 - Institut für Biomedizinische Elektronik
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tuw.publisher.doi
10.1186/s13054-018-1964-6
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dc.identifier.eissn
1466-609X
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dc.description.numberOfPages
11
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wb.sci
true
-
wb.sciencebranch
Medizintechnik
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
2060
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wb.sciencebranch.oefos
2020
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wb.facultyfocus
Außerhalb der primären Forschungsgebiete der Fakultät
de
wb.facultyfocus
Outside the Faculty's primary research activities
en
item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.openairetype
research article
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crisitem.author.dept
E363 - Institut für Biomedizinische Elektronik
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crisitem.author.orcid
0000-0002-1228-3859
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crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik