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Correlation between Semiquantitative Myocardial Perfusion Score and Absolute Myocardial Blood Flow in $^{13}N-Ammonia$ PET  

Lee, Byeong-Il (Department of Nuclear Medicine, Chonnam National University Hospital)
Kim, Kye-Hun (Department of Cardiovascular Medicine, Chonnam National University Medical School)
Kim, Jung-Young (Department of Nuclear Medicine, Chonnam National University Hospital)
Kim, Su-Jin (Department of Nuclear Medicine, Seoul National University College of Medicine)
Lee, Jae-Sung (Department of Nuclear Medicine, Seoul National University College of Medicine)
Min, Jung-Joon (Department of Nuclear Medicine, Chonnam National University Hospital)
Song, Ho-Chun (Department of Nuclear Medicine, Chonnam National University Hospital)
Bom, Hee-Seung (Department of Nuclear Medicine, Chonnam National University Hospital)
Publication Information
Nuclear Medicine and Molecular Imaging / v.41, no.3, 2007 , pp. 194-200 More about this Journal
Abstract
Purpose: $^{13}N$-ammonia is a well known radiopharmaceutical for the measurement of a myocardial blood flow (MBF) non-invasively using PET-CT. In this study, we investigated a correlation between MBF obtained from dynamic imaging and myocardial perfusion score (MPS) obtained from static imaging for usefulness of cardiac PET study. Methods: Twelve patients (11 males, 1 female, $57.9{\pm}8.6$ years old) with suspicious coronary artery disease underwent PET-CT scan. Dynamic scans (6 min: $5\;sec\;{\times}\;12,\;10\;sec\;{\times}\;6,\;20\;sec\;{\times}\;3,\;and\;30\;sec\;{\times}\;6$) were initiated simultaneously with bolus injection of 11 MBq/kg $^{13}N-ammonia$ to acquire rest and stress image. Gating image was acquired during 13 minutes continuously. Nine-segment model (4 basal walls, 4 mid walls, and apex) was used for a measurement of MBF. Time activity curve of input function and myocardium was extracted from ROI methods in 9 regions for quantification. The MPS were evaluated using quantitative analysis software. To compare between 20-segment model and 9-segment model, 6 basal segments were excluded and averaged segmental scores were used. Results: There are weak correlation between MBF (rest, 0.18-2.38 ml/min/g; stress, 0.40-4.95 ml/min/g) and MPS (rest 22-91%, stress, 14-90%), however the correlation coefficient between corrected MBF and MPS in rest state was higher than stress state (rest r=0.59; stress r=0.80). As a thickening increased, correlation between MBF and MPS also showed good correlation at each segments. Conclusions: Corrected and translated MPS as its characteristics using $^{13}N$-ammonia showed good correlation with absolute MBF measured by dynamic image in this study. Therefore, we showed MPS is one of good indices which reflect MBF. We anticipate PET-CT could be used as useful tool for evaluation of myocardial function in nuclear cardiac study.
Keywords
myocardial blood flow; perfusion; cardiac PET; $^{13}N-ammonia$;
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