Article

Coronary artery calcification score by multislice computed tomography predicts the outcome of dobutamine cardiovascular magnetic resonance imaging.

Department of Radiology, University Hospital Groningen, The Netherlands.
European Radiology (impact factor: 3.22). 07/2005; 15(6):1128-34. DOI:10.1007/s00330-005-2706-0 pp.1128-34
Source: PubMed

ABSTRACT The aim of this study was to determine whether a coronary artery calcium (CAC) score of less than 11 can reliably rule out myocardial ischemia detected by dobutamine cardiovascular magnetic resonance imaging (CMR) in patients suspected of having myocardial ischemia. In 114 of 136 consecutive patients clinically suspected of myocardial ischemia with an inconclusive diagnosis of myocardial ischemia, dobutamine CMR was performed and the CAC score was determined. The CAC score was obtained by 16-row multidetector compued tomography (MDCT) and was calculated according to the method of Agatston. The CAC score and the results of the dobutamine CMR were correlated and the positive predictive value (PPV) and the negative predictive value (NPV) of the CAC score for dobutamine CMR were calculated. A total of 114 (87%) of the patients were eligible for this study. There was a significant correlation between the CAC score and dobutamine CMR (p<0.001). Patients with a CAC score of less than 11 showed no signs of inducible ischemia during dobutamine CMR. For a CAC score of less than 101, the NPV and the PPV of the CAC score for the outcome of dobutamine CMR were, respectively, 0.96 and 0.29. In patients with an inconclusive diagnosis of myocardial ischemia a MDCT CAC score of less than 11 reliably rules out myocardial ischemia detected by dobutamine CMR.

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Keywords

136 consecutive patients clinically
 
16-row multidetector compued tomography
 
Agatston
 
CAC
 
CAC score
 
CMR
 
coronary artery calcium
 
dobutamine cardiovascular magnetic resonance imaging
 
dobutamine CMR
 
inconclusive diagnosis
 
inducible ischemia
 
MDCT CAC score
 
myocardial ischemia
 
negative predictive value
 
NPV
 
patients
 
positive predictive value
 
PPV
 
significant correlation