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Original Research |
1 All authors: Department of Radiology, University Medical Center Leiden, PO Box 9600, 2300 RC Leiden, The Netherlands.
OBJECTIVE. The aim of this study was to assess three different phase-selection methods for obtaining optimal CT coronary artery image quality.
MATERIALS AND METHODS. ECG-gated CT coronary angiography scans of 40
patients (23 men, 17 women; mean age, 56 years) were retrieved. The patient
group was composed of 20 consecutive patients with heart rates
65 beats
per minute (bpm) and 20 consecutive patients with heart rates > 65 bpm.
Three phase-selection methods were evaluated: fixed phase selection, manual
phase selection, and automated phase selection. Two scoring systems were used
to evaluate diagnostic quality: scoring of axial images on a 5-point scale and
scoring of multiplanar reconstructions (MPRs) on a forced-choice 3-point
preference scale. Differences were tested by Wilcoxon's signed rank test for
the entire patient group and the two subgroups including patients with heart
rates
65 bpm and those with heart rates > 65 bpm.
RESULTS. Axial image evaluation of the entire patient group showed
statistically significant superior image quality for the manual
phase-selection method compared with the predefined phase-selection method and
no statistically significant differences were found for the other comparisons.
Analysis at heart rates
65 bpm showed no significant differences between
phase-selection methods. Analysis at heart rates > 65 bpm showed the best
results for the automated phase-selection method, and image quality was
significantly better for the automated and manual phase-selection methods than
for the predefined phase-selection method.
CONCLUSION. The automated phase-selection method accurately detects the optimal diagnostic phase for CT coronary artery evaluation and has the potential to reduce operator time needed for image reconstruction.
Keywords: cardiac imaging cardiac phase selection coronary arteries coronary vessels MDCT angiography
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