An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion.
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 Re...
| Publicado en: | Journal of Nuclear Cardiology Vol. 17; no. 5; pp. 831 - 841 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Sep2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104924166&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104924166 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10713581 1YCL jtl: Journal of Nuclear Cardiology issn: 10713581 maglogo: N pubinfo: dt: Sep2010 vid: 17 iid: 5 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 104924166 NLM20440591 2010797043 10.1007/s12350-010-9237-z NLM20440591 104924166 ppf: 831 ppct: 10 formats: tig: atl: An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion. aug: au: Soneson H Engblom H Hedström E Bouvier F Sörensson P Pernow J Arheden H Heiberg E Soneson, Helen Engblom, Henrik Hedström, Erik Bouvier, Frederic Sörensson, Peder Pernow, John Arheden, Håkan Heiberg, Einar affil: Department of Clinical Physiology, Skåne University Hospital, Lund University, 221 85 Lund, Sweden sug: subj: Coronary Disease Radiography Heart Function Tests Methods Tomography, Emission-Computed, Single-Photon Methods Acute Disease Adult Aged Aged, 80 and Over Algorithms Coronary Disease Physiopathology Female Male Middle Age Risk Assessment Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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