Publikation

Coronary artery disease: Which degree of coronary artery stenosis is indicative of ischemia?

Wissenschaftlicher Artikel/Review - 11.08.2010

Bereiche
PubMed
DOI

Zitation
Donati O, Alkadhi H, Marincek B, Falk V, Wyss C, Plass A, Kozerke S, Leschka S, Desbiolles L, Stolzmann P, Scheffel H. Coronary artery disease: Which degree of coronary artery stenosis is indicative of ischemia?. Eur J Radiol 2010
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Eur J Radiol 2010
Veröffentlichungsdatum
11.08.2010
eISSN (Online)
1872-7727
Kurzbeschreibung/Zielsetzung

PURPOSE: To prospectively determine the best cut-off value of stenosis degree for low-dose computed tomography coronary angiography (CTCA) to predict the hemodynamic significance of coronary artery stenoses compared to catheter angiography (CA) using a cardiac magnetic resonance based approach as standard of reference. MATERIALS AND METHODS: Fifty-two patients (mean age, 64+/-10 years) scheduled for CA underwent cardiac magnetic resonance (CMR) at 1.5-T and dual-source CTCA using prospective ECG-triggering the same day. Diagnostic performance of CTCA and CA to detect myocardial ischemia was evaluated with CMR as the standard of reference. The diagnostic performance and best cut-off values to predict the hemodynamic significance of coronary were determined from receiver operating characteristics analysis (ROC). RESULTS: CA revealed >50% stenoses in 131/832 segments (15.7%) in 78/156 (50.0%) coronary arteries in 32/52 (62%) patients. CTCA revealed >50% stenoses in 148/807 (18.3%) segments, corresponding to 83/156 (53.2%) coronary arteries in 34/52 (65.4%) patients. CMR revealed ischemia in 118/832 (14.2%) myocardial segments corresponding to the territories of 60/156 (38.5%) coronary arteries in 29/52 (56%) patients. ROC analysis showed equal diagnostic performance for low-dose CTCA and CA with areas under the curve (AUC) of 0.82 and 0.83 (P=0.64). The optimal cut-off value was determined at stenosis of >60% for the prediction of hemodynamically significant coronary stenosis by CTCA. Using this cut-off value, sensitivity, specificity, NPV and PPV to predict hemodynamic significance by CTCA were 100%, 83%, 100%, and 88% on a per-patient basis and 88%, 73%, 83% and 81% on a per-artery analysis, respectively. CONCLUSION: By considering coronary stenosis >60%, diagnostic performance for predicting the hemodynamic significance of coronary stenosis by CTCA is optimal and equals that of CA.