Literature DB >> 2784361

Assessment of coronary artery disease severity by positron emission tomography. Comparison with quantitative arteriography in 193 patients.

L L Demer1, K L Gould, R A Goldstein, R L Kirkeeide, N A Mullani, R W Smalling, A Nishikawa, M E Merhige.   

Abstract

To assess the accuracy of positron emission tomography (PET) for evaluation of coronary artery disease (CAD), cardiac PET perfusion images were obtained at rest and with dipyridamole-handgrip stress in 193 patients undergoing coronary arteriography. PET images were reviewed by two independent readers blinded to clinical data. Subjective defect severity scores were assigned to each myocardial region on a 0 (normal) to 5 (severe) scale. Results were compared with arteriographic stenosis severity expressed as stenosis flow reserve (SFR), with continuous values ranging from 0 (total occlusion) to 5 (normal), calculated from quantitative arteriographic dimensions using automated detection of the vessel borders. There were 115 patients with significant CAD (SFR less than 3), 37 patients with mild CAD (3 less than or equal to SFR less than 4), and 41 patients with essentially normal coronaries (SFR greater than or equal to 4). With increasingly severe impairment of stenosis flow reserve, subjective PET defect severity increased. Despite wide scatter, a PET score of 2 or more was highly predictive of significant flow reserve impairment (SFR less than 3). For each patient, the score of the most severe PET defect correlated with the SFR of that patient's most severe stenosis (rs = 0.77 +/- 0.06). For each of 243 stenoses, PET defect score correlated with the SFR of the corresponding artery (rs = 0.63 +/- 0.08). PET defect location closely matched the region supplied by the diseased artery, and readers agreed whether the most severe PET defect was less than or more than 2 for 89% of patients.

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Year:  1989        PMID: 2784361     DOI: 10.1161/01.cir.79.4.825

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  53 in total

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Authors:  T D Ruddy; R A deKemp; R S Beanlands
Journal:  CMAJ       Date:  1999-11-02       Impact factor: 8.262

2.  3D assessment of myocardial perfusion parameter combined with 3D reconstructed coronary artery tree from digital coronary angiograms.

Authors:  T H Schindler; N Magosaki; M Jeserich; E Nitzsche; U Oser; T Abdollahnia; M Nageleisen; M Zehender; H Just; U Solzbach
Journal:  Int J Card Imaging       Date:  2000-02

3.  A precise, three-dimensional atlas of myocardial perfusion correlated with coronary arteriographic anatomy.

Authors:  Y Nakagawa; K Nakagawa; S Sdringola; N Mullani; K L Gould
Journal:  J Nucl Cardiol       Date:  2001 Sep-Oct       Impact factor: 5.952

4.  Lake Tahoe invitation meeting 2002.

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Journal:  J Nucl Cardiol       Date:  2003 Mar-Apr       Impact factor: 5.952

5.  Steady-state free precession sequences in myocardial first-pass perfusion MR imaging: comparison with TurboFLASH imaging.

Authors:  Peter Hunold; Stefan Maderwald; Holger Eggebrecht; Florian M Vogt; Jörg Barkhausen
Journal:  Eur Radiol       Date:  2003-11-26       Impact factor: 5.315

6.  Early insights of cardiac risk and treatment response with quantitative PET monitoring of coronary-specific endothelial dysfunction and myocardial perfusion reserve.

Authors:  Ronald G Schwartz
Journal:  J Nucl Cardiol       Date:  2010-12       Impact factor: 5.952

7.  Diagnosis and prognosis of coronary artery disease: PET is superior to SPECT: Pro.

Authors:  Rob S B Beanlands; George Youssef
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

8.  Myocardial blood flow: Putting it into clinical perspective.

Authors:  Thomas Hellmut Schindler
Journal:  J Nucl Cardiol       Date:  2015-12-28       Impact factor: 5.952

9.  Fusion imaging: combined visualization of 3D reconstructed coronary artery tree and 3D myocardial scintigraphic image in coronary artery disease.

Authors:  T H Schindler; N Magosaki; M Jeserich; U Oser; T Krause; R Fischer; E Moser; E Nitzsche; M Zehender; H Just; U Solzbach
Journal:  Int J Card Imaging       Date:  1999-10

10.  Assessing progression or regression of CAD: the role of perfusion imaging.

Authors:  K Lance Gould
Journal:  J Nucl Cardiol       Date:  2005 Nov-Dec       Impact factor: 5.952

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