Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation

Jacob Herrmann; Sarah E Gerard; Wei Shao; Monica L Hawley; Joseph M Reinhardt; Gary E Christensen; Eric A Hoffman; David W Kaczka

doi:10.3389/fphys.2020.00014

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Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation

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Peer reviewed

Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation

Jacob Herrmann, Sarah E Gerard, Wei Shao, Monica L Hawley, Joseph M Reinhardt, Gary E Christensen, Eric A Hoffman and David W Kaczka

Frontiers in physiology, Vol.11, pp.14-14

02/20/2020

DOI: 10.3389/fphys.2020.00014

PMCID: PMC7044245

PMID: 32153417

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Abstract

Mechanical ventilation strategies that reduce the heterogeneity of regional lung stress and strain may reduce the risk of ventilator-induced lung injury (VILI). In this study, we used registration of four-dimensional computed tomographic (4DCT) images to assess regional lung aeration and deformation in 10 pigs under baseline conditions and following acute lung injury induced with oleic acid. CT images were obtained via dynamic axial imaging (Siemens SOMATOM Force) during conventional pressure-controlled mechanical ventilation (CMV), as well as high-frequency and multi-frequency oscillatory ventilation modalities (HFOV and MFOV, respectively). Our results demonstrate that oscillatory modalities reduce intratidal strain throughout the lung in comparison to conventional ventilation, as well as the spatial gradients of dynamic strain along the dorsal-ventral axis. Harmonic distortion of parenchymal deformation was observed during HFOV with a single discrete sinusoid delivered at the airway opening, suggesting inherent mechanical nonlinearity of the lung tissues. MFOV may therefore provide improved lung-protective ventilation by reducing strain magnitudes and spatial gradients of strain compared to either CMV or HFOV.

computed tomography

high-frequency oscillatory ventilation

image registration

mechanical ventilation

multi-frequency oscillatory ventilation

Physiology

respiratory mechanics

ventilator-induced lung injury

Details

Title: Subtitle: Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation
Creators: Jacob Herrmann - University of Iowa
Sarah E Gerard - University of Iowa
Wei Shao - University of Iowa
Monica L Hawley - OscillaVent, Inc., Iowa City, IA, United States.
Joseph M Reinhardt - University of Iowa
Gary E Christensen - University of Iowa
Eric A Hoffman - University of Iowa
David W Kaczka - University of Iowa
Resource Type: Journal article
Publication Details: Frontiers in physiology, Vol.11, pp.14-14
DOI: 10.3389/fphys.2020.00014
PMID: 32153417
PMCID: PMC7044245
NLM abbreviation: Front Physiol
ISSN: 1664-042X
eISSN: 1664-042X
Publisher: Frontiers Media S.A
Grant note: 1S10OD018526; R01 CA166703; R01 HL142625; R41 HL140640 / National Institutes of Health W81XWH-16-1-0434 / U.S. Department of Defense
Language: English
Date published: 02/20/2020
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Anesthesia; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Otolaryngology; Holden Comprehensive Cancer Center; Internal Medicine
Record Identifier: 9984196975002771

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