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Published in: European Radiology 5/2009

01-05-2009 | Chest

Variability of bronchial measurements obtained by sequential CT using two computer-based methods

Authors: Pierre-Yves Brillet, Catalin I. Fetita, André Capderou, Mihai Mitrea, Serge Dreuil, Jean-Marc Simon, Françoise Prêteux, Philippe A. Grenier

Published in: European Radiology | Issue 5/2009

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Abstract

This study aimed to evaluate the variability of lumen (LA) and wall area (WA) measurements obtained on two successive MDCT acquisitions using energy-driven contour estimation (EDCE) and full width at half maximum (FWHM) approaches. Both methods were applied to a database of segmental and subsegmental bronchi with LA > 4 mm2 containing 42 bronchial segments of 10 successive slices that best matched on each acquisition. For both methods, the 95% confidence interval between repeated MDCT was between –1.59 and 1.5 mm2 for LA, and –3.31 and 2.96 mm2 for WA. The values of the coefficient of measurement variation (CV10, i.e., percentage ratio of the standard deviation obtained from the 10 successive slices to their mean value) were strongly correlated between repeated MDCT data acquisitions (r > 0.72; p < 0.0001). Compared with FWHM, LA values obtained using EDCE were higher for LA < 15 mm2, whereas WA values were lower for bronchi with WA < 13 mm2; no systematic EDCE underestimation or overestimation was observed for thicker-walled bronchi. In conclusion, variability between CT examinations and assessment techniques may impair measurements. Therefore, new parameters such as CV10 need to be investigated to study bronchial remodeling. Finally, EDCE and FWHM are not interchangeable in longitudinal studies.
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Metadata
Title
Variability of bronchial measurements obtained by sequential CT using two computer-based methods
Authors
Pierre-Yves Brillet
Catalin I. Fetita
André Capderou
Mihai Mitrea
Serge Dreuil
Jean-Marc Simon
Françoise Prêteux
Philippe A. Grenier
Publication date
01-05-2009
Publisher
Springer-Verlag
Published in
European Radiology / Issue 5/2009
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-008-1247-8

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