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Automated Cardiac Phase Selection with 64-MDCT Coronary Angiography
Oleh:
Joemai, Raoul M. S.
;
Geleijns, Jacob
;
Veldkamp, Wouter J. H.
;
de Roos, Albert
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
American Journal of Roentgenology vol. 191 no. 06 (Dec. 2008)
,
page 1690-1697 .
Topik:
Cardiac imaging
;
cardiac phase selection
;
coronary arteries
;
coronary vessels
;
MDCT angiography
Ketersediaan
Perpustakaan FK
Nomor Panggil:
A13.K
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
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.
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