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An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion.

Fransson, Helen LU ; Engblom, Henrik LU ; Hedström, Erik LU ; Bouvier, Frederic; Sörensson, Peder; Pernow, John; Arheden, Håkan LU and Heiberg, Einar LU (2010) In Journal of Nuclear Cardiology 17. p.831-840
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Nuclear Cardiology
volume
17
pages
831 - 840
publisher
Springer
external identifiers
  • WOS:000281947800012
  • PMID:20440591
  • Scopus:77956959324
ISSN
1532-6551
DOI
10.1007/s12350-010-9237-z
language
English
LU publication?
yes
id
bc1cd03a-099b-4df2-b44b-97cdf6a51dac (old id 1610619)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/20440591?dopt=Abstract
date added to LUP
2010-06-01 09:06:02
date last changed
2016-11-01 13:54:50
@misc{bc1cd03a-099b-4df2-b44b-97cdf6a51dac,
  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.},
  author       = {Fransson, Helen and Engblom, Henrik and Hedström, Erik and Bouvier, Frederic and Sörensson, Peder and Pernow, John and Arheden, Håkan and Heiberg, Einar},
  issn         = {1532-6551},
  language     = {eng},
  pages        = {831--840},
  publisher    = {ARRAY(0x80e2100)},
  series       = {Journal of Nuclear Cardiology},
  title        = {An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion.},
  url          = {http://dx.doi.org/10.1007/s12350-010-9237-z},
  volume       = {17},
  year         = {2010},
}