Meeting Banner
Abstract #3745

Feasibility of Real-Time Cine to Detect Exercise-Induced Cardiac Wall Motion Abnormalities in Patients Suspected of Coronary Artery Disease

Mihaela Jekic1, Jennifer Dickerson2, Eric Foster3, Beth McCarthy2, Subha V. Raman2, Orlando P. Simonetti4

1Biomedical Engineering, The Ohio State University, Columbus, OH, USA; 2The Ohio State University Medical Center; 3Mechanical Engineering, The Ohio State University; 4Internal Medicine and Radiology, The Ohio State University

We investigated whether real-time non-breathhold cine with TGRAPPA rate 3 acceleration, temporal resolution of 62 ms, and spatial resolution of 3.8x2.5x8mm can detect regional wall motion abnormalities at peak exercise stress. We performed a blinded review of five patients suspected of coronary artery disease and five healthy subjects. Images from all five healthy volunteers and three patients with <70% stenoses were correctly interpreted as normal. Two patients with >70% lesions were diagnosed with wall motion abnormalities. Our results indicate that it is feasible to detect exercise-induced regional wall motion abnormalities using real-time non-breath-hold cine.