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Canadian Respiratory Journal
Volume 2018, Article ID 9493504, 9 pages
https://doi.org/10.1155/2018/9493504
Research Article

Time to Exhale: Additional Value of Expiratory Chest CT in Chronic Obstructive Pulmonary Disease

1Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
2Department of Medicine (Cardiology, Angiology, Pulmonary, and Intensive Care), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
3Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
4DZHK (German Center for Cardiovascular Research), Partner Site Mannheim, Berlin, Germany

Correspondence should be addressed to Frederik Trinkmann; ed.mmu@nnamknirt.kirederf

Received 2 September 2017; Revised 23 December 2017; Accepted 31 December 2017; Published 4 March 2018

Academic Editor: Jörg D. Leuppi

Copyright © 2018 Joshua Gawlitza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Joshua Gawlitza, Timo Sturm, Kai Spohrer, Thomas Henzler, Ibrahim Akin, Stefan Schönberg, Martin Borggrefe, Holger Haubenreisser, and Frederik Trinkmann, “Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD,” Diagnostics, vol. 9, no. 1, pp. 33, 2019. View at Publisher · View at Google Scholar