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Diagnostic performance of computed tomography coronary angiography to detect and exclude left main and/or three-vessel coronary artery disease.
- Source :
- European Radiology; Nov2013, Vol. 23 Issue 11, p2934-2943, 10p
- Publication Year :
- 2013
-
Abstract
- Objectives: To determine the diagnostic performance of CT coronary angiography (CTCA) in detecting and excluding left main (LM) and/or three-vessel CAD ('high-risk' CAD) in symptomatic patients and to compare its discriminatory value with the Duke risk score and calcium score. Materials and methods: Between 2004 and 2011, a total of 1,159 symptomatic patients (61 ± 11 years, 31 % women) with stable angina, without prior revascularisation underwent both invasive coronary angiography (ICA) and CTCA. All patients gave written informed consent for the additional CTCA. High-risk CAD was defined as LM and/or three-vessel obstructive CAD (≥50 % diameter stenosis). Results: A total of 197 (17 %) patients had high-risk CAD as determined by ICA. The sensitivity, specificity, positive predictive value, negative predictive value, positive and negative likelihood ratios of CTCA were 95 % (95 % CI 91-97 %), 83 % (80-85 %), 53 % (48-58 %), 99 % (98-99 %), 5.47 and 0.06, respectively. CTCA provided incremental value (AUC 0.90, P < 0.001) in the discrimination of high-risk CAD compared with the Duke risk score and calcium score. Conclusions: CTCA accurately excludes high-risk CAD in symptomatic patients. The detection of high-risk CAD is suboptimal owing to the high percentage (47 %) of overestimation of high-risk CAD. CTCA provides incremental value in the discrimination of high-risk CAD compared with the Duke risk score and calcium score. Key Points: • Computed tomography coronary angiography ( CTCA) accurately excludes high- risk coronary artery disease. • CTCA overestimates high- risk coronary artery disease in 47 %. • CTCA discriminates high- risk CAD better than clinical evaluation and coronary calcification. [ABSTRACT FROM AUTHOR]
- Subjects :
- CORONARY angiography
CORONARY disease
CALCIUM
COMPUTER-aided design
PATIENTS
Subjects
Details
- Language :
- English
- ISSN :
- 09387994
- Volume :
- 23
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- European Radiology
- Publication Type :
- Academic Journal
- Accession number :
- 90592963
- Full Text :
- https://doi.org/10.1007/s00330-013-2935-6