Dual-source CT versus single-source 64-section CT angiography for coronary artery disease: A meta-analysis

B Jiang1, J Wang1, X Lv2

  • 1Department of Radiology, BenQ Medical Center, Nanjing Medical University, 71 Hexi Street, Jianye District, Nanjing 210019, China.

Clinical Radiology
|May 24, 2014
PubMed

Insights

Dual-source CT and single-source 64-section CT show similar ability to rule out coronary artery disease (CAD). However, dual-source CT offers higher specificity, leading to more accurate decisions for subsequent procedures.

Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • Coronary artery disease (CAD) is a leading cause of mortality worldwide.
  • Accurate non-invasive diagnostic tools are crucial for timely intervention.
  • Computed tomography (CT) angiography has emerged as a key imaging modality for CAD assessment.

Purpose of the Study:

  • To compare the diagnostic performance of single-source 64-section CT versus dual-source CT angiography in diagnosing CAD.
  • To evaluate the accuracy of these CT modalities using invasive coronary angiography as the reference standard.

Main Methods:

  • A meta-analysis was conducted, pooling data from 51 original papers.
  • Inclusion criteria focused on studies defining significant CAD as ≥50% luminal diameter reduction.
  • Data from 3966 patients (single-source CT) and 2047 patients (dual-source CT) were analyzed using a random-effects model.

Main Results:

  • Both CT modalities demonstrated high sensitivity (97%) for CAD detection.
  • Dual-source CT showed significantly higher specificity (86% vs. 78%) and negative predictive value (97% vs. 93%) compared to single-source CT.
  • Positive predictive value and positive likelihood ratio were also significantly higher for dual-source CT.

Conclusions:

  • Dual-source CT and single-source 64-section CT have comparable utility in ruling out CAD in intermediate-risk patients due to similar negative likelihood ratios.
  • Dual-source CT offers superior specificity, enhancing the accuracy of CT-based decisions for coronary catheter angiography.
Abstract

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