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An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion.
- Source :
- Journal of Nuclear Cardiology; Sep2010, Vol. 17 Issue 5, p831-840, 10p, 2 Color Photographs, 1 Diagram, 2 Charts, 5 Graphs
- Publication Year :
- 2010
-
Abstract
- Background: In order to determine myocardial salvage, accurate quantification of myocardium at risk (MaR) is necessary. We present a validated novel automatic segmentation algorithm for quantification of MaR by myocardial perfusion SPECT (MPS) in patients with acute coronary occlusion. Methods and Results: Twenty-nine patients with coronary occlusion were injected with a perfusion tracer before reperfusion, and underwent rest MPS within 4 hours. The MaR was quantified using the proposed algorithm (Segment software), the software Quantitative Perfusion SPECT (QPS) and by manual segmentation. The Segment MaR algorithm used a threshold of 55% of maximal counts and an a priori model based on normal coronary artery perfusion territories. The MaR was 30 ± 10% left ventricular mass (%LVM) by manual segmentation, 31 ± 12%LVM by Segment, and 36 ± 14%LVM by QPS. There was a good agreement between automatic and manual segmentation for both of the algorithms with a lower bias for Segment (.8 ± 4.0%LVM) than for QPS (5.8 ± 5.8%LVM) when compared to manual segmentation. Conclusions: The Segment MaR algorithm can be used to correctly assess MaR from MPS images in patients with acute coronary occlusion without access to tracer-specific normal database. The MaR in relation to final infarct size enables determination of myocardial salvage. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10713581
- Volume :
- 17
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Nuclear Cardiology
- Publication Type :
- Academic Journal
- Accession number :
- 53703318
- Full Text :
- https://doi.org/10.1007/s12350-010-9237-z