Literature DB >> 2144799

Determination of coronary flow reserve by parametric imaging.

O M Hess1, M J McGillem, S F DeBoe, I M Pinto, K P Gallagher, G B Mancini.   

Abstract

Nine mongrel dogs were instrumented with electromagnetic flow probes (EMF) to measure coronary blood flow through the left anterior descending (LAD) and left circumflex (LCx) coronary arteries at rest and after maximal coronary vasodilation (1 mg/kg/min adenosine). Relative coronary blood flow was determined by parametric imaging in the left posterior oblique projection using digital subtraction angiography (DSA). Transmural myocardial perfusion of the LAD and LCx beds was determined with tracer-labeled microspheres. Coronary flow reserve (maximal coronary blood flow divided by resting blood flow) was calculated under control conditions and after constriction of the proximal LAD or LCx by a screw occluder. Heart rate decreased significantly from 140 beats/min at rest to 122 beats/min after adenosine (p less than 0.001) and from 134 (rest) to 120 beats/min (adenosine; p less than 0.05) after coronary constriction. Peak systolic pressure was kept constant with an aortic constrictor. Left ventricular end-diastolic pressure increased significantly from 18 mm Hg at rest to 23 mm Hg (p less than 0.05) after coronary constriction. At baseline, coronary flow reserve was 4.2 with DSA, 3.8 with EMF, and 3.7 with microspheres; after coronary constriction, it was 2.6 (DSA), 1.9 (EMF), and 1.5 (microspheres) (all p less than 0.001 versus baseline). Coronary blood flow showed a good correlation between EMF and microspheres (r = 0.87, p less than 0.001), with a standard error of estimate (SEE) of 0.78 ml/g/min. Coronary flow reserve also showed a good correlation between EMF and microspheres (r = 0.82, p less than 0.001), with an SEE of 0.93. There was a moderate correlation between EMF and DSA (r = 0.68, p less than 0.001), with an SEE of 1.35 (40% of mean coronary flow reserve). The correlation coefficient between microspheres and DSA was 0.54 (p less than 0.01), with an SEE of 1.46 (39% of mean coronary flow reserve). The mean difference (accuracy) and standard deviation of difference (precision) were 0.2 +/- 1.0 between EMF and microspheres, -0.1 +/- 1.4 between EMF and DSA, and -0.6 +/- 1.7 between microspheres and DSA. We conclude that determination of coronary flow reserve by parametric imaging is associated with large variations that are greater than variations also inherent in the two reference techniques. Parametric imaging allows relatively accurate assessment of coronary flow reserve (small mean difference), but precision is low (large standard deviation of mean differences).(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1990        PMID: 2144799     DOI: 10.1161/01.cir.82.4.1438

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


  5 in total

1.  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

Review 2.  Glossary: methods for the measurement of coronary blood flow and myocardial perfusion.

Authors:  S G Sakka; D R Wallbridge; G Heusch
Journal:  Basic Res Cardiol       Date:  1996 Mar-Apr       Impact factor: 17.165

Review 3.  Insights into the assessment of myocardial perfusion offered by different cardiac imaging modalities.

Authors:  J R Lindner; S Kaul
Journal:  J Nucl Cardiol       Date:  1995 Sep-Oct       Impact factor: 5.952

Review 4.  [New developments in parameter-oriented roentgen densitometry perfusion analysis within the scope of heart catheter studies].

Authors:  M Haude; G Caspari; D Baumgart; P Spiller; G Heusch; R Erbel
Journal:  Herz       Date:  1997-04       Impact factor: 1.443

5.  Performance of angiographic parametric imaging in locating infarct core in large vessel occlusion acute ischemic stroke patients.

Authors:  Ryan A Rava; Maxim Mokin; Kenneth V Snyder; Muhammad Waqas; Adnan H Siddiqui; Jason M Davies; Elad I Levy; Ciprian N Ionita
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-11
  5 in total

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