Stress Computed Tomography Perfusion Versus Fractional Flow Reserve CT Derived in Suspected Coronary Artery Disease

医学 部分流量储备 冠状动脉疾病 灌注 正谓词值 放射科 预测值 计算机断层血管造影 灌注扫描 心脏病学 曲线下面积 内科学 计算机断层摄影术 核医学 冠状动脉造影 心肌梗塞
作者
Gianluca Pontone,Andrea Baggiano,Daniele Andreini,Andrea Igoren Guaricci,Marco Guglielmo,Giuseppe Muscogiuri,Laura Fusini,Fabio Fazzari,Saima Mushtaq,Edoardo Conte,Giuseppe Calligaris,Stefano Martini,Cristina Ferrari,Stefano Galli,Luca Grancini,Paolo Ravagnani,Giovanni Teruzzi,Daniela Trabattoni,Franco Fabbiocchi,Alessandro Lualdi,Piero Montorsi,Mark Rabbat,Antonio L. Bartorelli,Mauro Pepi
出处
期刊:Jacc-cardiovascular Imaging [Elsevier]
卷期号:12 (8): 1487-1497 被引量:91
标识
DOI:10.1016/j.jcmg.2018.08.023
摘要

This study sought to compare the diagnostic accuracy of coronary computed tomography angiography (cCTA) with that of cCTA+fractional flow reserve derived from cCTA datasets (FFRCT) and that of cCTA+static stress-computed tomography perfusion (stress-CTP) in detecting functionally significant coronary artery lesions using invasive coronary angiography (ICA) plus invasive FFR as the reference standard. FFRCT and static stress-CTP are new techniques that combine anatomy and functional evaluation to improve assessment of coronary artery disease (CAD) using cCTA. A total of 147 consecutive symptomatic patients scheduled for clinically indicated ICA+invasive FFR were evaluated with cCTA, FFRCT, and stress-CTP. Vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values, and accuracy rates of cCTA were 99%, 76%, 100%, 61%, 82%, and 95%, 54%, 94%, 63%, 73%, respectively. cCTA+FFRCT showed vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values and accuracy rates of 88%, 94%, 95%, 84%, 92%, and 90%, 85%, 92%, 83%, 87%, respectively. Finally, cCTA+stress-CTP showed vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values and accuracy rates of 92%, 95%, 97%, 87%, 94% and 98%, 87%, 99%, 86%, 92%, respectively. Both FFRCT and stress-CTP significantly improved specificity and positive predictive values compared to those of cCTA alone. The area under the curve to detect flow-limiting stenoses of cCTA, cCTA+FFRCT, and cCTA+CTP were 0.89, 0.93, 0.92, and 0.90, 0.94, and 0.93 in a vessel-based and patient-based model, respectively, with significant additional values for both cCTA+FFRCT and cCTA+CTP versus cCTA alone (p < 0.001) but no differences between cCTA+FFRCT versus cCTA+CTP. FFRCT and stress-CTP in addition to cCTA are valid and comparable tools to evaluate the functional relevance of CAD.
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