Rubidium-82 PET-CT for quantitative assessment of myocardial blood flow: validation in a canine model of coronary artery stenosis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-04

AUTHORS

Riikka Lautamäki, Richard T. George, Kakuya Kitagawa, Takahiro Higuchi, Jennifer Merrill, Corina Voicu, Anthony DiPaula, Stephan G. Nekolla, João A. C. Lima, Albert C. Lardo, Frank M. Bengel

ABSTRACT

PURPOSE: Absolute quantification of myocardial blood flow expands the diagnostic potential of PET for assessment of coronary artery disease. (82)Rb has significantly contributed to increasing utilization of PET; however, clinical studies are still mostly analysed qualitatively. The aim of this study was to reevaluate the feasibility of (82)Rb for flow quantification, using hybrid PET-CT in an animal model of coronary stenosis. METHODS: Nine dogs were prepared with experimental coronary artery stenosis. Dynamic PET was performed for 8 min after (82)Rb(1480-1850 MBq) injection during adenosine-induced vasodilation. Microspheres were injected simultaneously for reference flow measurements. CT angiography was used to determine the myocardial regions related to the stenotic vessel. Two methods for flow calculation were employed: a two-compartment model including a spill-over term, and a simplified retention index. RESULTS: The two-compartment model data were in good agreement with microsphere flow (y = 0.84x + 0.20; r = 0.92, p<0.0001), although there was variability in the physiological flow range <3 ml/g per minute (y = 0.54x + 0.53; r = 0.53, p = 0.042). Results from the retention index also correlated well with microsphere flow (y = 0.47x + 0.52; r = 0.75, p = 0.0004). Error increased with higher flow, but the correlation was good in the physiological range (y = 0.62x + 0.29; r = 0.84, p = 0.0001). CONCLUSION: Using current state-of-the-art PET-CT systems, quantification of myocardial blood flow is feasible with (82)Rb. A simplified approach based on tracer retention is practicable in the physiological flow range. These results encourage further testing of the robustness and usefulness in the clinical context of cardiac hybrid imaging. More... »

PAGES

576-586

References to SciGraph publications

  • 2006-11. Coronary vasodilator reserve and Framingham risk scores in subjects at risk for coronary artery disease in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2006-11. Positron emission tomography myocardial perfusion and glucose metabolism imaging in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2007-12. 82-Rubidium—the dawn of cardiac PET in Europe? in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2007-12. Cardiac 82rubidium PET/CT: initial European experience in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2007-11. Quantification of myocardial blood flow with 82Rb dynamic PET imaging in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2004-07. Potential utility of rubidium 82 pet quantification in patients with 3-vessel coronary artery disease in JOURNAL OF NUCLEAR CARDIOLOGY
  • 1998-09. Reproducibility of polar map generation and assessment of defect severity and extent assessment in myocardial perfusion imaging using positron emission tomography in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2002-12. Dysregulation of coronary microvascular reactivity in asymptomatic patients with type 2 diabetes mellitus in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2006-01. Diagnostic accuracy of rest/stress ECG-gated Rb-82 myocardial perfusion PET: Comparison with ECG-gated Tc-99m sestamibi SPECT in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2008-02. CT-based attenuation correction in 82Rb-myocardial perfusion PET–CT: incidence of misalignment and effect on regional tracer distribution in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00259-008-0972-1

    DOI

    http://dx.doi.org/10.1007/s00259-008-0972-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005274145

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18985343


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