The impact of image resolution on computation of fractional flow reserve: coronary computed tomography angiography versus 3-dimensional quantitative coronary angiography

被引:15
作者
Liu, Lili [1 ]
Yang, Wenjie [2 ]
Nagahara, Yasuomi [3 ]
Li, Yingguang [4 ]
Lamooki, Saeb R. [1 ]
Muramatsu, Takashi [3 ]
Kitslaar, Pieter [4 ]
Sarai, Masayoshi [3 ]
Ozaki, Yukio [3 ]
Barlis, Peter [5 ]
Yan, Fuhua [2 ]
Reiber, Johan H. C. [4 ]
Tu, Shengxian [1 ]
机构
[1] Shanghai Jiao Tong Univ, Biomed Instrument Inst, Sch Biomed Engn, Shanghai 200030, Peoples R China
[2] Shanghai Jiao Tong Univ, Rui Jin Hosp, Dept Radiol, Sch Med, Shanghai 200030, Peoples R China
[3] Fujita Hlth Univ Hosp, Dept Cardiol, Toyoake, Aichi, Japan
[4] Leiden Univ, Med Ctr, Div Image Proc, Dept Radiol, Leiden, Netherlands
[5] Univ Melbourne, Dept Med, Fac Med Dent & Hlth Sci, Melbourne, Vic, Australia
关键词
Computational fluid dynamics; Coronary computed tomography angiography; Fractional flow reserve; Quantitative coronary angiography; CT ANGIOGRAPHY; DIAGNOSTIC PERFORMANCE; ARTERY-DISEASE; QUANTIFICATION;
D O I
10.1007/s10554-015-0797-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Calculation of fractional flow reserve (FFR) based on computational fluid dynamics (CFD) requires reconstruction of patient-specific coronary geometry and estimation of hyperemic flow rate. Coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) are two dominating imaging modalities used for the geometrical reconstruction. Our aim was to investigate the impact of image resolution as inherently associated with these two imaging modalities on geometrical reconstruction and subsequent FFR calculation. Patients with mild or intermediate coronary stenoses who underwent both CCTA and ICA were included. CCTA images were acquired either by 320-row area detector CT or by 128-slice dual-source CT. Two geometrical models were reconstructed separately from CCTA and ICA, from which FFRCTA and FFRQCA were subsequently calculated using CFD simulations, applying the same hyperemic flow rate derived from the ICA images at the inlet boundaries. A total of 57 vessels in 41 patients were analyzed. Average diameter stenosis was 43.4 +/- A 10.8 % by 3D QCA. Reasonably good correlation between FFRCTA and FFRQCA was observed (r = 0.71, p < 0.001). The difference between FFRCTA and FFRQCA was correlated with the deviation between minimal lumen areas by CCTA and by ICA (rho = 0.34, p = 0.01), but not with plaque volume (rho = -0.09, p = 0.51) or calcified plaque volume (rho = 0.01, p = 0.95). Applying the cutoff value of a parts per thousand currency sign0.8 to both FFRCTA and FFRQCA, the agreement between FFRCTA and FFRQCA in discriminating functional significant stenoses was moderate (kappa 0.47, p < 0.001). Disagreement was found in 10 (17.5 %) vessels. Acceptable correlation between FFRCTA and FFRQCA was observed, while their agreement in distinguishing functional significant stenosis was moderate. Our results suggest that image resolution has a significant impact on FFR computation.
引用
收藏
页码:513 / 523
页数:11
相关论文
共 25 条
[1]  
[Anonymous], EUROINTERVENTION S5
[2]   Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements - initial experience with a novel physician-driven algorithm [J].
Baumann, Stefan ;
Wang, Rui ;
Schoepf, U. Joseph ;
Steinberg, Daniel H. ;
Spearman, James V. ;
Bayer, Richard R., II ;
Hamm, Christian W. ;
Renker, Matthias .
EUROPEAN RADIOLOGY, 2015, 25 (04) :1201-1207
[3]   Comparison of Quantitative Coronary Angiography With Intracoronary Ultrasound. Can Quantitative Coronary Angiography Accurately Estimate the Severity of a Luminal Stenosis [J].
Bourantas, Christos V. ;
Tweddel, Ann C. ;
Papafaklis, Michail I. ;
Karvelis, Petros S. ;
Fotiadis, Dimitrios I. ;
Katsouras, Christos S. ;
Michalis, Lampros K. .
ANGIOLOGY, 2009, 60 (02) :169-179
[4]   Fractional Flow Reserve Computed from Noninvasive CT Angiography Data: Diagnostic Performance of an On-Site Clinician-operated Computational Fluid Dynamics Algorithm [J].
Coenen, Adriaan ;
Lubbers, Marisa M. ;
Kurata, Akira ;
Kono, Atsushi ;
Dedic, Admir ;
Chelu, Raluca G. ;
Dijkshoorn, Marcel L. ;
Gijsen, Frank J. ;
Ouhlous, Mohamed ;
van Geuns, Robert-Jan M. ;
Nieman, Koen .
RADIOLOGY, 2015, 274 (03) :674-683
[5]   Fractional Flow Reserve-Guided PCI versus Medical Therapy in Stable Coronary Disease [J].
De Bruyne, Bernard ;
Pijls, Nico H. J. ;
Kalesan, Bindu ;
Barbato, Emanuele ;
Tonino, Pim A. L. ;
Piroth, Zsolt ;
Jagic, Nikola ;
Mobius-Winckler, Sven ;
Rioufol, Gilles ;
Witt, Nils ;
Kala, Petr ;
MacCarthy, Philip ;
Engstrom, Thomas ;
Oldroyd, Keith G. ;
Mavromatis, Kreton ;
Manoharan, Ganesh ;
Verlee, Peter ;
Frobert, Ole ;
Curzen, Nick ;
Johnson, Jane B. ;
Jueni, Peter ;
Fearon, William F. .
NEW ENGLAND JOURNAL OF MEDICINE, 2012, 367 (11) :991-1001
[6]   Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology [J].
de Graaf, Michiel A. ;
Broersen, Alexander ;
Kitslaar, Pieter H. ;
Roos, Cornelis J. ;
Dijkstra, Jouke ;
Lelieveldt, Boudewijn P. F. ;
Jukema, J. Wouter ;
Schalij, Martin J. ;
Delgado, Victoria ;
Bax, Jeroen J. ;
Reiber, Johan H. C. ;
Scholte, Arthur J. .
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2013, 29 (05) :1177-1190
[7]   A Contemporary View of Diagnostic Cardiac Catheterization and Percutaneous Coronary Intervention in the United States [J].
Dehmer, Gregory J. ;
Weaver, Douglas ;
Roe, Matthew T. ;
Milford-Beland, Sarah ;
Fitzgerald, Susan ;
Hermann, Anthony ;
Messenger, John ;
Moussa, Issam ;
Garratt, Kirk ;
Rumsfeld, John ;
Brindis, Ralph G. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2012, 60 (20) :2017-2031
[8]   Co-registration of optical coherence tomography and X-ray angiography in percutaneous coronary intervention. The Does Optical Coherence Tomography Optimize Revascularization (DOCTOR) fusion study [J].
Hebsgaard, Lasse ;
Nielsen, Troels Munck ;
Tu, Shengxian ;
Krusell, Lars Romer ;
Maeng, Michael ;
Veien, Karsten Tange ;
Raungaard, Bent ;
Terkelsen, Christian Juhl ;
Kaltoft, Anne ;
Reiber, Johan H. C. ;
Lassen, Jens Flensted ;
Christiansen, Evald Hoj ;
Holm, Niels Ramsing .
INTERNATIONAL JOURNAL OF CARDIOLOGY, 2015, 182 :272-278
[9]   Coronary Anatomy to Predict Physiology Fundamental Limits [J].
Johnson, Nils P. ;
Kirkeeide, Richard L. ;
Gould, K. Lance .
CIRCULATION-CARDIOVASCULAR IMAGING, 2013, 6 (05) :817-832
[10]   Diagnosis of Ischemia-Causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms Results From the Prospective Multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) Study [J].
Koo, Bon-Kwon ;
Erglis, Andrejs ;
Doh, Joon-Hyung ;
Daniels, David V. ;
Jegere, Sanda ;
Kim, Hyo-Soo ;
Dunning, Allison ;
DeFrance, Tony ;
Lansky, Alexandra ;
Leipsic, Jonathan ;
Min, James K. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2011, 58 (19) :1989-1997