Literature DB >> 2584558

Quantitative single photon emission computed thallium-201 tomography for detection and localization of coronary artery disease: optimization and prospective validation of a new technique.

J Maddahi1, K Van Train, F Prigent, E V Garcia, J Friedman, E Ostrzega, D Berman.   

Abstract

One hundred eight-three men underwent stress-redistribution thallium-201 myocardial perfusion tomography. After evaluation of various preprocessing filters in a phantom study, the Butterworth filter with a frequency cutoff of 0.2 cycles/pixel, order 5 (which provided optimal filter power) was used in the back projection algorithm of the patient studies. All short-axis and apical portions of vertical long-axis images were quantified by dividing each myocardial slice into 60 equal sectors and displaying the maximal count per sector as a linear profile. In a pilot group consisting of 20 normal men (less than 5% likelihood of coronary artery disease) and 25 men with coronary artery disease (greater than or equal to 50% coronary stenosis by angiography), profiles representing the lowest observed value below the mean normal profiles provided the best threshold for defining normal limits. Abnormal portions of the patient profiles were plotted on a two-dimensional polar map. The polar map was divided into 102 sectors, and sectors with a probability of greater than or equal to 80% for disease of each one of the three major coronary arteries were clustered to represent specific coronary artery territories. Receiver operating characteristic curve analysis for defect size showed that the optimal threshold for defining a definite perfusion defect was 12% for the left anterior descending and left circumflex and 8% for the right coronary artery territories. These criteria were prospectively applied to an additional 92 patients with angiographic coronary artery disease, 18 patients with normal coronary arteriograms and 28 patients with less than 5% likelihood of coronary disease. Sensitivity, specificity (in patients with normal coronary arteriograms) and normalcy rate (in patients with less than 5% likelihood of coronary artery disease) for overall detection of coronary disease were 96%, 56% and 86%, respectively. Sensitivity and specificity for identification of individual diseased vessels were, respectively, 78% and 85% for the left anterior descending, 79% and 60% for the left circumflex and 81% and 71% for the right coronary artery. These results were not significantly different from those of the pilot group. An optimized quantitative method for interpretation of stress thallium-201 myocardial perfusion tomography has been developed. Prospective application of this method indicates that the technique is accurate for the overall detection of coronary artery disease and identification of disease in individual arteries.

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Year:  1989        PMID: 2584558     DOI: 10.1016/0735-1097(89)90017-x

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  31 in total

1.  Quantification of SPECT myocardial perfusion images: methodology and validation of the Yale-CQ method.

Authors:  Y H Liu; A J Sinusas; P DeMan; B L Zaret; F J Wackers
Journal:  J Nucl Cardiol       Date:  1999 Mar-Apr       Impact factor: 5.952

2.  Diagnostic accuracy of dipyridamole technetium 99m-labeled sestamibi myocardial tomography for detection of coronary artery disease.

Authors:  D D Miller; L T Younis; B R Chaitman; H Stratmann
Journal:  J Nucl Cardiol       Date:  1997 Jan-Feb       Impact factor: 5.952

Review 3.  Advances in quantitative perfusion SPECT imaging.

Authors:  Edward P Ficaro; James R Corbett
Journal:  J Nucl Cardiol       Date:  2004 Jan-Feb       Impact factor: 5.952

Review 4.  Diagnosis of coronary artery disease by radionuclide myocardial perfusion imaging.

Authors:  C Y Loong; C Anagnostopoulos
Journal:  Heart       Date:  2004-08       Impact factor: 5.994

5.  Automated quantification of myocardial perfusion SPECT using simplified normal limits.

Authors:  Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Cigdem Akincioglu; Aiden Abidov; John D Friedman; Sean W Hayes; Guido Germano
Journal:  J Nucl Cardiol       Date:  2005 Jan-Feb       Impact factor: 5.952

6.  One good turn deserves another.

Authors:  Kenneth J Nichols; Olakunle O Akinboboye
Journal:  J Nucl Cardiol       Date:  2005 Jan-Feb       Impact factor: 5.952

7.  Regarding the virtues and limitations of combining myocardial perfusion SPECT data acquired by diverse methods.

Authors:  Kenneth J Nichols
Journal:  J Nucl Cardiol       Date:  2007-01       Impact factor: 5.952

8.  An open-source framework of neural networks for diagnosis of coronary artery disease from myocardial perfusion SPECT.

Authors:  Levent A Guner; Nese Ilgin Karabacak; Ozgur U Akdemir; Pinar Senkul Karagoz; Sinan A Kocaman; Atiye Cengel; Mustafa Unlu
Journal:  J Nucl Cardiol       Date:  2010-03-04       Impact factor: 5.952

9.  Diagnostic performance of low-dose rest/stress Tc-99m tetrofosmin myocardial perfusion SPECT using the 530c CZT camera: quantitative vs visual analysis.

Authors:  Fabio P Esteves; James R Galt; Russell D Folks; Liudmila Verdes; Ernest V Garcia
Journal:  J Nucl Cardiol       Date:  2013-11-28       Impact factor: 5.952

10.  Quantitative evaluation of a comprehensive motion, resolution, and attenuation correction program: initial experience.

Authors:  P Rigo; P Van Boxem; J Foulon; M Safi; J Engdahl; J Links
Journal:  J Nucl Cardiol       Date:  1998 Sep-Oct       Impact factor: 5.952

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