Adenosine-stress dynamic myocardial volume perfusion imaging with second generation dual-source computed tomography: Concepts and first experiences
Received 24 November 2009; accepted 17 January 2010. published online 28 January 2010.
Abstract
Recent research suggests that multidetector-row CT may have potential as a standalone modality for integrative imaging of coronary heart disease, including the assessment of the myocardial blood supply. However, the technical prerequisites for volumetric, time-resolved imaging of the passage of a contrast medium bolus through the myocardium have only been met with latest generation wide-detector CT scanners. Second-generation dual-source CT enables performing electrocardiographic (ECG)–synchronized dynamic myocardial perfusion imaging by a dedicated “shuttle” mode. With this acquisition mode, image data can be acquired during contrast medium infusion at 2 alternating table positions with the table shuttling back and forth between the 2 positions covering a 73-mm anatomic volume. We applied this acquisition technique for detecting differences in perfusion patterns between healthy and diseased myocardium and for quantifying myocardial blood flow under adenosine stress in 3 patients with coronary heart disease. According to our initial experience, the addition of adenosine stress volumetric dynamic CT perfusion to a cardiac CT protocol comprising coronary artery calcium quantification, prospectively ECG-triggered coronary CT angiography, and delayed acquisition appears promising for the comprehensive assessment of coronary artery luminal integrity, cardiac function, perfusion, and viability with a single modality.
aDepartment of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, MSC 226, Charleston, SC 29401, USA
bDepartment of Radiology, University of Navarra, Pamplona, Spain
cDepartment of Medicine, Division of Cardiology, Medical University of South Carolina, Charleston, SC, USA
dDepartment of Radiology, Ajou University School of Medicine, Suwon, South Korea
Corresponding author.
Conflict of interest: G.B. is a consultant for General Electric, Medrad, and Siemens. U.J.S. is a consultant for and receives research support from Bayer-Schering, Bracco, General Electric, Medrad, and Siemens. The other authors have no conflict of interest to disclose.