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BMC Anesthesiology
Published in: BMC Anesthesiology 1/2015

Open Access 01-12-2015 | Research article

Lung hyperaeration assessment by computed tomography: correction of reconstruction-induced bias

Authors: Lorenzo Ball, Claudia Brusasco, Francesco Corradi, Francesco Paparo, Alessandro Garlaschi, Peter Herrmann, Michael Quintel, Paolo Pelosi

Published in: BMC Anesthesiology | Issue 1/2015

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Abstract

Background

Computed tomography (CT) reconstruction parameters, such as slice thickness and convolution kernel, significantly affect the quantification of hyperaerated parenchyma (VHYPER%). The aim of this study was to investigate the mathematical relation between VHYPER% calculated at different reconstruction settings, in mechanically ventilated and spontaneously breathing patients with different lung pathology.

Methods

In this retrospective observational study, CT scans of patients of the intensive care unit and emergency department were collected from two CT scanners and analysed with different kernel-thickness combinations (reconstructions): 1.25 mm soft kernel, 5 mm soft kernel, 5 mm sharp kernel in the first scanner; 2.5 mm slice thickness with a smooth (B41s) and a sharp (B70s) kernel on the second scanner. A quantitative analysis was performed with Maluna® to assess lung aeration compartments as percent of total lung volume. CT variables calculated with different reconstructions were compared in pairs, and their mathematical relationship was analysed by using quadratic and power functions.

Results

43 subjects were included in the present analysis. Image reconstruction parameters influenced all the quantitative CT-derived variables. The most relevant changes occurred in the hyperaerated and normally aerated volume compartments. The application of a power correction formula led to a significant reduction in the bias between VHYPER% estimations (p < 0.001 in all cases). The bias in VHYPER% assessment did not differ between lung pathology nor ventilation mode groups (p > 0.15 in all cases).

Conclusions

Hyperaerated percent volume at different reconstruction settings can be described by a fixed mathematical relationship, independent of lung pathology, ventilation mode, and type of CT scanner.
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Metadata
Title
Lung hyperaeration assessment by computed tomography: correction of reconstruction-induced bias
Authors
Lorenzo Ball
Claudia Brusasco
Francesco Corradi
Francesco Paparo
Alessandro Garlaschi
Peter Herrmann
Michael Quintel
Paolo Pelosi
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Anesthesiology / Issue 1/2015
Electronic ISSN: 1471-2253
DOI
https://doi.org/10.1186/s12871-016-0232-z

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