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Image quality on dual-source computed-tomographic coronary angiography.
- Source :
-
European radiology [Eur Radiol] 2008 Sep; Vol. 18 (9), pp. 1857-62. Date of Electronic Publication: 2008 Apr 17. - Publication Year :
- 2008
-
Abstract
- Multi-detector CT reliably permits visualization of coronary arteries, but due to the occurrence of motion artefacts at heart rates >65 bpm caused by a temporal resolution of 165 ms, its utilisation has so far been limited to patients with a preferably low heart rate. We investigated the assessment of image quality on computed tomography of coronary arteries in a large series of patients without additional heart rate control using dual-source computed tomography (DSCT). DSCT (Siemens Somatom Definition, 83-ms temporal resolution) was performed in 165 consecutive patients (mean age 64 +/- 11.4 years) after injection of 60-80 ml of contrast. Data sets were reconstructed in 5% intervals of the cardiac cycle and evaluated by two readers in consensus concerning evaluability of the coronary arteries and presence of motion and beam-hardening artefacts using the AHA 16-segment coronary model. Mean heart rate during CT was 65 +/- 10.5 bpm; visualisation without artefacts was possible in 98.7% of 2,541 coronary segments. Only two segments were considered unevaluable due to cardiac motion; 30 segments were unassessable due to poor signal-to-noise ratio or coronary calcifications (both n = 15). Data reconstruction at 65-70% of the cardiac cycle provided for the best image quality. For heart rates >85 bpm, a systolic reconstruction at 45% revealed satisfactory results. Compared with earlier CT generations, DSCT provides for non-invasive coronary angiography with diagnostic image quality even at heart rates >65 bpm and thus may broaden the spectrum of patients that can be investigated non-invasively.
- Subjects :
- Adult
Aged
Aged, 80 and over
Female
Humans
Male
Middle Aged
Reproducibility of Results
Sensitivity and Specificity
Coronary Angiography methods
Coronary Artery Disease diagnostic imaging
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 0938-7994
- Volume :
- 18
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- European radiology
- Publication Type :
- Academic Journal
- Accession number :
- 18418605
- Full Text :
- https://doi.org/10.1007/s00330-008-0947-4