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Diagnostic value of multislice computed tomography angiography in coronary artery disease: a meta-analysis

Zhonghua Sun1, Wen Jiang

  • 1Discipline of Medical Imaging, Department of Imaging and Applied Physics, Curtin University of Technology, GPO Box U1987, Perth 6845, Western Australia. z.sun@curtin.edu.au

European Journal of Radiology
|August 5, 2006
PubMed

Insights

Multislice CT (MSCT) angiography shows potential for detecting coronary artery disease (CAD). Newer 64-slice scanners significantly improve diagnostic accuracy compared to older models for CAD assessment.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Diagnostic Accuracy

Background:

  • Coronary artery disease (CAD) remains a leading cause of mortality worldwide.
  • Accurate and early detection of CAD is crucial for effective patient management.
  • Conventional coronary angiography is the gold standard but is invasive.

Purpose of the Study:

  • To conduct a meta-analysis evaluating the diagnostic performance of multislice CT (MSCT) angiography for detecting CAD.
  • To compare the accuracy of MSCT angiography against conventional coronary angiography.

Main Methods:

  • Systematic literature search of PubMed and MEDLINE databases.
  • Inclusion of studies with at least 10 patients comparing MSCT angiography and conventional coronary angiography for CAD detection.
  • Analysis of diagnostic value at segment-, vessel-, and patient-based levels.

Main Results:

  • Pooled sensitivity and specificity for MSCT angiography in CAD detection: 83% and 93% (segment-based), 90% and 87% (vessel-based), 91% and 86% (patient-based).
  • Diagnostic accuracy was significantly higher with 64-slice scanners compared to 4- and 16-slice scanners (p<0.05).
  • 16-slice CT showed limitations in spatial resolution for quantitative assessment.

Conclusions:

  • MSCT angiography demonstrates significant potential for diagnosing CAD.
  • Advancements in CT technology, particularly 64-slice scanners, have markedly improved diagnostic performance.
  • Higher slice counts enhance both qualitative and quantitative diagnostic accuracy in CAD detection.
Abstract

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