Brief Article
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World J Radiol. May 28, 2013; 5(5): 202-207
Published online May 28, 2013. doi: 10.4329/wjr.v5.i5.202
Correlation analysis of dual-energy CT iodine maps with quantitative pulmonary perfusion MRI
Jan Hansmann, Paul Apfaltrer, Frank G Zoellner, Thomas Henzler, Mathias Meyer, Gerald Weisser, Stefan O Schoenberg, Ulrike I Attenberger
Jan Hansmann, Paul Apfaltrer, Thomas Henzler, Mathias Meyer, Gerald Weisser, Stefan O Schoenberg, Ulrike I Attenberger, Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, D-68167 Mannheim, Germany
Frank G Zoellner, Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, D-68167 Mannheim, Germany
Author contributions: All authors made substantial contributions to the conception and design of the study, drafting or revising the article critically for important intellectual content; Hansmann J, Apfaltrer P, Zoellner FG and Attenberger UI contributed to the data analysis and interpretation.
Correspondence to: Jan Hansmann, MD, Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany. jan.hansmann@medma.uni-heidelberg.de
Telephone: +49-621-3832067 Fax: +49-621-3833817
Received: January 14, 2013
Revised: May 3, 2013
Accepted: May 16, 2013
Published online: May 28, 2013
Processing time: 144 Days and 7.6 Hours
Core Tip

Core tip: Dual-energy derived iodine maps and dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) may allow evaluation of pulmonary perfusion. Hypothetical the decrease in pulmonary perfusion detected on DCE-derived iodine maps would correlate highly with perfusion parameters derived from DCE-MRI in patients with restricted pulmonary perfusion. However, against our hypothesis, we did not find a significant correlation between pulmonary perfusion defects detected on dual-energy computed tomography-derived iodine maps and perfusion parameters derived from time-resolved MRI. In addition, there was only a moderate level of visual correlation. This is in contrast with prior studies that investigated the role of pulmonary iodine maps to serve as an additional tool providing a functional evaluation of pulmonary perfusion.