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01-11-2008 | Original

Image reconstruction affects computer tomographic assessment of lung hyperinflation

Authors: Andreas W. Reske, Harald Busse, Marcelo B. P. Amato, Matthias Jaekel, Thomas Kahn, Peter Schwarzkopf, Dierk Schreiter, Udo Gottschaldt, Matthias Seiwerts

Published in: Intensive Care Medicine | Issue 11/2008

Abstract

Objectives

Lung hyperinflation may be assessed by computed tomography (CT). As shown for patients with emphysema, however, CT image reconstruction affects quantification of hyperinflation. We studied the impact of reconstruction parameters on hyperinflation measurements in mechanically ventilated (MV) patients.

Design

Observational analysis.

Setting

A University hospital-affiliated research Unit.

Patients

The patients were MV patients with injured (n = 5) or normal lungs (n = 6), and spontaneously breathing patients (n = 5).

Interventions

None.

Measurements and results

Eight image series involving 3, 5, 7, and 10 mm slices and standard and sharp filters were reconstructed from identical CT raw data. Hyperinflated (V _hyper), normally (V _normal), poorly (V _poor), and nonaerated (V _non) volumes were calculated by densitometry as percentage of total lung volume (V _total). V _hyper obtained with the sharp filter systematically exceeded that with the standard filter showing a median (interquartile range) increment of 138 (62–272) ml corresponding to approximately 4% of V _total. In contrast, sharp filtering minimally affected the other subvolumes (V _normal, V _poor, V _non, and V _total). Decreasing slice thickness also increased V _hyper significantly. When changing from 10 to 3 mm thickness, V _hyper increased by a median value of 107 (49–252) ml in parallel with a small and inconsistent increment in V _non of 12 (7–16) ml.

Conclusions

Reconstruction parameters significantly affect quantitative CT assessment of V _hyper in MV patients. Our observations suggest that sharp filters are inappropriate for this purpose. Thin slices combined with standard filters and more appropriate thresholds (e.g., −950 HU in normal lungs) might improve the detection of V _hyper. Different studies on V _hyper can only be compared if identical reconstruction parameters were used.

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Title: Image reconstruction affects computer tomographic assessment of lung hyperinflation
Authors: Andreas W. Reske
Harald Busse
Marcelo B. P. Amato
Matthias Jaekel
Thomas Kahn
Peter Schwarzkopf
Dierk Schreiter
Udo Gottschaldt
Matthias Seiwerts
Publication date: 01-11-2008
Publisher: Springer-Verlag
Published in: Intensive Care Medicine / Issue 11/2008
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI: https://doi.org/10.1007/s00134-008-1175-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Image reconstruction affects computer tomographic assessment of lung hyperinflation

Abstract

Objectives

Design

Setting

Patients

Interventions

Measurements and results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objectives

Design

Setting

Patients

Interventions

Measurements and results

Conclusions

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