Clin Physiol Funct Imaging (2015) 35, pp291–300
doi: 10.1111/cpf.12163
Large variation in blood flow between left ventricular segments, as detected by adenosine stress dynamic CT perfusion Jakob De Geer1, Marcus Gjerde2, Lars Brudin3, Eva Olsson4, Anders Persson1 and Jan Engvall4 1
Faculty of Health Sciences, Department of Medical and Health Sciences, Department of Radiology in Linko¨ping, Center for Medical Image Science and Visualization (CMIV), Linko¨ping University, County Council of O¨stergo¨tland, 2Faculty of Health Sciences, Department of Medical and Health Sciences, Department of Cardiology in Linko¨ping, Center for Medical Image Science and Visualization (CMIV), Linko¨ping University, County Council of O¨stergo¨tland, Linko¨ping, 3Faculty of Health Sciences, Department of Medical and Health Sciences, Department of Clinical Physiology in Kalmar, Linko¨ping University, County Council of Kalmar, Kalmar, and 4Faculty of Health Sciences, Department of Medical and Health Sciences, Department of Clinical Physiology, Center for Medical Image Science and Visualization (CMIV), Linko¨ping University, County Council of O¨stergo¨tland, Linko¨ping, Sweden
Summary Correspondence Jakob De Geer, Department of Radiology, Linko¨ping University Hospital, SE-581 85 Linko¨ping, Sweden E-mail:
[email protected] Accepted for publication Received 10 October 2013; accepted 16 April 2014
Key words AHA segmentation; contrast agent; correlation; ischaemia; tetrofosmin
Background: Dynamic cardiac CT perfusion (CTP) is based on repeated imaging during the first-pass contrast agent inflow. It is a relatively new method that still needs validation. Purpose: To evaluate the variation in adenosine stress dynamic CTP blood flow as compared to 99mTc SPECT. Secondarily, to compare manual and automatic segmentation. Methods: Seventeen patients with manifest coronary artery disease were included. Nine were excluded from evaluation for various reasons. All patients were examined with dynamic stress CTP and stress/rest SPECT. CTP blood flow was compared with SPECT on a per segment basis. Results for manual and automated AHA segmentation were compared. Results: CTP showed a positive correlation with SPECT, with correlation coefficients of 038 and 041 for manual and automatic segmentation, respectively (P