Affiliations 

  • 1 T K Ong, MRCP. Department of Cardiology, Sarawak General Hospital
  • 2 S P Chin, MRCP. Department of Cardiology, Sarawak General Hospital
  • 3 W L Chan, MRCP. Department of Cardiology, Sarawak General Hospital
  • 4 C K Liew, MRCP. Department of Cardiology, Sarawak General Hospital
  • 5 M T Seyfarth, MD. Siemens Medical Solutions Germany
  • 6 H B Liew, MRCP. Department of Cardiology, Sarawak General Hospital
  • 7 A Rapaee, MRCP. Univiersity Malaysia Sarawak
  • 8 K H Sim, FRACP. Department of Cardiology, Sarawak General Hospital
Med J Malaysia, 2005 Dec;60(5):629-36.
PMID: 16515115

Abstract

The accuracy of multi-detector computed tomographic (MDCI) coronary angiography (CTA) is dependant on image quality as well as the experience of the operator. Established centers have reported negative predictive values of over 95%. The aim of our study was to investigate the accuracy and feasibility of CTA for the assessment of haemodynamically significant coronary stenosis in a center with very early experience (<6 months) utilizing the improved spatial and temporal resolutions of the latest generation 64-row MDCI scanner. One hundred and twenty eight patients (93 male, 35 female; mean age 56.2 +/- 9.5 years) with suspected or known coronary artery disease underwent both CIA and conventional coronary angiographv (CCA). The sensitivity, specificity, positive (PPV) and negative (NPV) predictive values for stenoses > or =50% by CIA compared to CCA were 70%, 97%, 70% and 97% respectively. Evaluation of main and proximal segments in patients with good quality images (78% of patients) produced values of 94%, 95%, 74% and 99% respectively. The improved spatial and temporal resolutions of 64-row MJ) CT provided a high negative predictive value in assessing significant coronary artery stenosis even in a centre with very early experience. However, new centers embarking on CTA might not be able to reproduce the results reported by more experienced centers.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.