Abstract #2458

The Impact of Inspiration Levels on the Repeatability of Quantitative Pulmonary Perfusion DCE-MRI in Patients with Chronic Obstructive Pulmonary Disease and Cystic Fibrosis

Marilisa Schiwek^1,2, Frank Risse¹, Simon M. F. Triphan^2,3, Monika Eichinger^2,3,4, Sabine Wege⁵, Mirjam Stahl^3,6, Olaf Sommerburg^3,6, Marcus A. Mall^3,6,7, Hans-Ulrich Kauczor^2,3,4, Michael U. Puderbach^2,3,4,8, Ralf Eberhardt⁵, Claus P. Heussel^2,3,4, Gudula Heussel^2,3,4, and Mark O. Wielpütz^2,3,4

¹Transl. Medicine + Clin. Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany, ²Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany, ³Translational Lung Research Center Heidelberg (TLRC), German Lung Research Center (DZL), Heidelberg, Germany, ⁴Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, Germany, ⁵Pulmonology and Respiratory Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, Germany, ⁶Pediatric Pulmonology & Allergy and Cystic Fibrosis Center, Pediatrics, University of Heidelberg, Heidelberg, Germany, ⁷Translational Pulmonology, University Hospital Heidelberg, Heidelberg, Germany, ⁸Diagnostic and Interventional Radiology, Hufeland Hospital, Bad Langensalza, Germany

The objective of this study was to investigate the 4-week repeatability of contrast-agent based pulmonary perfusion quantification in clinically stable patients with COPD and CF. Software including fully automated lung segmentation was used to determine pulmonary blood flow (PBF). While a good agreement of PBF was found in the majority of patients, high variabilities were found. Several influence factors were considered as explanations. Differences in SNR due to different inspiratory levels are likely to influence whether quantification in each voxel succeeds. Thus, it may be necessary to modify voxel-based quantification to compensate for differences in inspiratory levels and low SNR.

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