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01-12-2018 | Computed Tomography

CT perfusion imaging of lung cancer: benefit of motion correction for blood flow estimates

Authors: Lisa L. Chu, Robert J. Knebel, Aryan D. Shay, Jonathan Santos, Ramsey D. Badawi, David R. Gandara, Friedrich D. Knollmann

Published in: European Radiology | Issue 12/2018

Abstract

Purpose

CT perfusion (CTP) imaging assessment of treatment response in advanced lung cancer can be compromised by respiratory motion. Our purpose was to determine whether an original motion correction method could improve the reproducibility of such measurements.

Materials and methods

The institutional review board approved this prospective study. Twenty-one adult patients with non-resectable non-small-cell lung cancer provided written informed consent to undergo CTP imaging. A motion correction method that consisted of manually outlining the tumor margins and then applying a rigid manual landmark registration algorithm followed by the non-rigid diffeomorphic demons algorithm was applied. The non-motion-corrected and motion-corrected images were analyzed with dual blood supply perfusion analysis software. Two observers performed the analysis twice, and the intra- and inter-observer variability of each method was assessed with Bland-Altman statistics.

Results

The 95% limits of agreement of intra-observer reproducibility for observer 1 improved from −84.4%, 65.3% before motion correction to −33.8%, 30.3% after motion correction (r = 0.86 and 0.97, before and after motion correction, p < 0.0001 for both) and for observer 2 from −151%, 96% to −49 %, 36 % (r = 0.87 and 0.95, p < 0.0001 for both). The 95% limits of agreement of inter-observer reproducibility improved from −168%, 154% to −17%, 25%.

Conclusion

The use of a motion correction method significantly improves the reproducibility of CTP estimates of tumor blood flow in lung cancer.

Key Points

• Tumor blood flow estimates in advanced lung cancer show significant variability.

• Motion correction improves the reproducibility of CT blood flow estimates in advanced lung cancer.

• Reproducibility of blood flow measurements is critical to characterize lung tumor biology and the success of treatment in lung cancer.

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Title: CT perfusion imaging of lung cancer: benefit of motion correction for blood flow estimates
Authors: Lisa L. Chu
Robert J. Knebel
Aryan D. Shay
Jonathan Santos
Ramsey D. Badawi
David R. Gandara
Friedrich D. Knollmann
Publication date: 01-12-2018
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 12/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-018-5492-1

Keynote webinar | Spotlight on medication adherence

Springer Medicine

CT perfusion imaging of lung cancer: benefit of motion correction for blood flow estimates

Abstract

Purpose

Materials and methods

Results

Conclusion

Key Points

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Materials and methods

Results

Conclusion

Key Points

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