Non-invasive procedural planning using computed tomography-derived fractional flow reserve

被引:14
作者
Bom, Michiel J. [1 ]
Schumacher, Stefan P. [1 ]
Driessen, Roel S. [1 ]
van Diemen, Pepijn A. [1 ]
Everaars, Henk [1 ]
de Winter, Ruben W. [1 ]
van de Ven, Peter M. [2 ]
van Rossum, Albert C. [1 ]
Sprengers, Ralf W. [3 ]
Verouden, Niels J. W. [1 ]
Nap, Alexander [1 ]
Opolski, Maksymilian P. [1 ,4 ]
Leipsic, Jonathon A. [5 ]
Danad, Ibrahim [1 ]
Taylor, Charles A. [6 ,7 ]
Knaapen, Paul [1 ]
机构
[1] Vrije Univ Amsterdam, Amsterdam UMC, Dept Cardiol, Amsterdam Cardiovasc Sci, Boelelaan 1118, NL-1081 HZ Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Amsterdam UMC, Dept Epidemiol & Biostat, Amsterdam, Netherlands
[3] Vrije Univ Amsterdam, Amsterdam UMC, Dept Radiol & Nucl Med, Amsterdam, Netherlands
[4] Inst Cardiol, Dept Intervent Cardiol & Angiol, Warsaw, Poland
[5] Univ British Columbia, Dept Med & Radiol, Vancouver, BC, Canada
[6] HeartFlow Inc, Redwood City, CA USA
[7] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
关键词
computed tomography derived fractional flow reserve; coronary artery disease; coronary computed tomography angiography; fractional flow reserve; percutaneous coronary intervention; CORONARY PRESSURE MEASUREMENT; DIAGNOSTIC-ACCURACY; CT ANGIOGRAPHY; FOLLOW-UP; ARTERY; STENOSES; DISEASE;
D O I
10.1002/ccd.29210
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives This study aimed to investigate the performance of computed tomography derived fractional flow reserve based interactive planner (FFR(CT)planner) to predict the physiological benefits of percutaneous coronary intervention (PCI) as defined by invasive post-PCI FFR. Background Advances in FFR(CT)technology have enabled the simulation of hyperemic pressure changes after virtual removal of stenoses. Methods In 56 patients (63 vessels) invasive FFR measurements before and after PCI were obtained and FFR(CT)was calculated using pre-PCI coronary CT angiography. Subsequently, FFR(CT)and invasive coronary angiography models were aligned allowing virtual removal of coronary stenoses on pre-PCI FFR(CT)models in the same locations as PCI was performed. Relationships between invasive FFR and FFRCT, between post-PCI FFR and FFR(CT)planner, and between delta FFR and delta FFR(CT)were evaluated. Results Pre PCI, invasive FFR was 0.65 +/- 0.12 and FFR(CT)was 0.64 +/- 0.13 (p= .34) with a mean difference of 0.015 (95% CI: -0.23-0.26). Post-PCI invasive FFR was 0.89 +/- 0.07 and FFR(CT)planner was 0.85 +/- 0.07 (p< .001) with a mean difference of 0.040 (95% CI: -0.10-0.18). Delta invasive FFR and delta FFR(CT)were 0.23 +/- 0.12 and 0.21 +/- 0.12 (p= .09) with a mean difference of 0.025 (95% CI: -0.20-0.25). Significant correlations were found between pre-PCI FFR and FFRCT(r = 0.53,p< .001), between post-PCI FFR and FFR(CT)planner (r = 0.41,p= .001), and between delta FFR and delta FFRCT(r = 0.57, p < .001). Conclusions The non-invasive FFR(CT)planner tool demonstrated significant albeit modest agreement with post-PCI FFR and change in FFR values after PCI. The FFR(CT)planner tool may hold promise for PCI procedural planning; however, improvement in technology is warranted before clinical application.
引用
收藏
页码:614 / 622
页数:9
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