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eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Dobutamine magnetic resonance imaging as a predictor of myocardial functional recovery after revascularisation

Author(s): R. J. Trent, G. D. Waiter, G. S. Hillis, F. I. McKiddie, T. W. Redpath, S. Walton

Abstract:
Objective-To assess the use of dobutamine magnetic resonance imaging (MRI) as a preoperative predictor of myocardial functional recovery after revascularisation, comparing wall motion and radial wall thickening analyses by observer and semi-automated edge detection. Patients-25 men with multivessel coronary disease and resting wall motion abnormalities were studied with preoperative rest and stress MRI. Main outcome measures-Observer analysis for radial wall thickening was compared with a normal range, while wall motion analysis used a standard four Feint scale. Semi-automated analysis was performed using an edge detection algorithm. Segments displaying either improved or worsened thickening or motion with dobutamine were considered viable. Postoperative rest images were performed 3-6 months after coronary artery bypass grafting (CABG) for comparison. Results-For observer analysis the values for sensitivity and specificity were 50% and 72% for wall motion, with respective values of 50% and 68% for thickening. With semi-automated edge detection the figures for motion were 60% and 73%, with corresponding values of 79% and 58% for thickening. Combining thickening and motion for the semi-automated method to describe any change in segmental function yielded a sensitivity of 71% and specificity of 70%. Conclusions-Dobutamine MRI is a reasonably good predictor of myocardial functional recovery after CABG. The use of semi-automated edge detection analysis improved results.

Full version: Available here

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ISBN: 1355-6037
Publication Year: 2000
Periodical: Heart
Periodical Number: 1
Volume: 83
Pages: 40-46
Author Address: