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

CT perfusion imaging of lung cancer: benefit of motion correction for blood flow estimates 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 reproduc- ibility 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Radiology Springer Journals

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

Loading next page...
 
/lp/springer_journal/ct-perfusion-imaging-of-lung-cancer-benefit-of-motion-correction-for-cMCU8nm2nU
Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by European Society of Radiology
Subject
Medicine & Public Health; Imaging / Radiology; Diagnostic Radiology; Interventional Radiology; Neuroradiology; Ultrasound; Internal Medicine
ISSN
0938-7994
eISSN
1432-1084
D.O.I.
10.1007/s00330-018-5492-1
Publisher site
See Article on Publisher Site

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 reproduc- ibility 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

Journal

European RadiologySpringer Journals

Published: Jun 4, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off