Mattias Ohlsson
Professor
Patient gender and radiopharmaceutical tracer is of minor importance for the interpretation of myocardial perfusion images using an artificial neural network.
Author
Summary, in English
The purpose of this study was to assess the influence of patient gender and choice of perfusion tracer on computer-based interpretation of myocardial perfusion images. For the image interpretation, an automated method was used based on image processing and artificial neural network techniques. A total of 1000 patients were studied, all referred to the Royal Brompton Hospital in London for myocardial perfusion scintigraphy over a period of 1 year. The patients were randomized to receive either thallium or one of the two technetium tracers, methoxyisobutylisonitrile or tetrofosmin. Artificial neural networks were trained with either mixed gender or gender-specific and mixed tracer or tracer-specific training sets of different sizes. The performance of the networks was assessed in separate test sets, with the interpretation of experienced physicians regarding the presence or absence of fixed or reversible defects in the images as the gold standard. The neural networks trained with large mixed gender training sets were as good as the networks trained with gender-specific data sets. In addition, the neural networks trained with large mixed tracer training sets were as good as or better than the networks trained with tracer-specific data sets. Our results indicate that the influence of patient gender and perfusion tracer are of minor importance for the computer-based interpretation of the myocardial perfusion images. The differences that occur can be compensated for by larger training sets.
Department/s
- Nuclear medicine, Malmö
- Computational Biology and Biological Physics - Has been reorganised
Publishing year
2006
Language
English
Pages
146-150
Publication/Series
Clinical Physiology and Functional Imaging
Volume
26
Issue
3
Links
Document type
Journal article
Publisher
John Wiley & Sons Inc.
Topic
- Physiology
Status
Published
Research group
- Nuclear medicine, Malmö
ISBN/ISSN/Other
- ISSN: 1475-0961