Title of article
64-Slice CT for Diagnosis of Coronary Artery Disease: A Systematic Review
Author/Authors
Paul D. Stein، نويسنده , , Abdo Y. Yaekoub، نويسنده , , Fadi Matta، نويسنده , , H. Dirk Sostman، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
11
From page
715
To page
725
Abstract
Purpose
The purpose of this systematic review was to assess the accuracy of 64-slice CT coronary angiography for the diagnosis of coronary artery disease.
Methods
We attempted to identify all published trials in all languages that used 64-slice CT to diagnose coronary artery disease. Results of 64-slice CT coronary angiography were compared with invasive coronary angiography or intravascular ultrasound.
Results
Sensitivity of 64-slice CT for significant (≥50%) stenosis, based on pooled data from all studies, was ≥90% in patient-based evaluations, named vessels, segments, and coronary artery bypass grafts, except the left circumflex (sensitivity 88%), distal segments (80%), and stents (88%). Specificity was 88% in patient-based evaluations, and ≥90% at individual sites. Positive predictive values for patient-based evaluations, left main coronary artery, and coronary artery bypass grafts ranged from 91% to 93%, but elsewhere ranged from 69% to 84%. Negative predictive values were 96% to 100%. Positive likelihood ratios for patient-based evaluations were 8.0 and, at specific sites, were ≥9.7. Negative likelihood ratios, except for distal segments, were <0.1.
Conclusion
Negative 64-slice CT reliably excluded significant coronary disease. However, the data suggest that stenoses shown on 64-slice CT require confirmation. Combining the results of 64-slice CT with a pre-CT clinical probability assessment would strengthen the diagnosis. Due to the risk of radiation-induced cancer, patients should be selected carefully for this test, and scan protocols should be optimized to minimize risk.
Keywords
computed tomography , Coronary Angiography , coronary artery disease
Journal title
The American Journal of Medicine
Serial Year
2008
Journal title
The American Journal of Medicine
Record number
811638
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