Non-invasive characterization of complex coronary lesions

被引:22
作者
Vardhan, Madhurima [1 ]
Gounley, John [2 ]
Chen, S. James [3 ]
Chi, Eric C. [4 ]
Kahn, Andrew M. [5 ]
Leopold, Jane A. [6 ]
Randles, Amanda [1 ]
机构
[1] Duke Univ, Dept Biomed Engn, Durham, NC 27705 USA
[2] Oak Ridge Natl Lab, Computat Sci & Engn Div, POB 2009, Oak Ridge, TN 37830 USA
[3] Univ Colorado AMC, Dept Med Cardiol, Aurora, CO 80045 USA
[4] North Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA
[5] Univ Calif San Diego, Div Cardiovasc Med, San Diego, CA 92103 USA
[6] Harvard Med Sch, Brigham & Womens Hosp, Div Cardiovasc Med, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
FRACTIONAL FLOW RESERVE; ENDOTHELIAL SHEAR-STRESS; LATTICE BOLTZMANN METHOD; COMPUTED-TOMOGRAPHY; DIAGNOSTIC PERFORMANCE; ANGIOGRAPHY; STENOSIS; FEASIBILITY; SIMULATION; PRESSURE;
D O I
10.1038/s41598-021-86360-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinical trials and there does not exist a validated approach to characterize hemodynamic quantities and guide percutaneous intervention for such lesions. This work identifies key biomarkers that differentiate complex Type B and C lesions from simple Type A lesions by introducing and validating a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment in complex lesions at ultrahigh resolution. Among 14 patients selected in this study, 7 patients with Type B and C lesions were included in the complex lesion group including ostial, bifurcation, serial lesions and lesion where flow was supplied by collateral bed. Simple lesion group included 7 patients with lesions that were discrete, <10mm long and readily accessible. Intracoronary assessment was performed using CFD-CA framework and validated by comparing to clinically measured pressure-based index, such as FFR. Local pressure, endothelial shear stress (ESS) and velocity profiles were derived for all patients. We validates the accuracy of our CFD-CA framework and report excellent agreement with invasive measurements (n=14,R2=0.6,p=0.0013). Ultra-high resolution achieved by the model enable physiological assessment in complex lesions and quantify hemodynamic metrics in all vessels up to 1mm in diameter. Importantly, we demonstrate that in contrast to traditional pressure-based metrics, there is a significant difference in the intracoronary hemodynamic forces, such as ESS, in complex lesions compared to simple lesions at both resting and hyperemic physiological states [n = 14, p=0.03]. Higher ESS was observed in the complex lesion group (7.0 +/- 4.7 Pa) than in simple lesion group (4.8 +/- 3.6 Pa). Complex coronary lesions have higher ESS compared to simple lesions, such differential hemodynamic evaluation can provide much the needed insight into the increase in adverse outcomes for such patients and has incremental prognostic value over traditional pressure-based indices, such as FFR.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Evaluation of Atherosclerotic Plaque in Non-invasive Coronary Imaging
    Dwivedi, Aeshita
    Al'Aref, Subhi J.
    Lin, Fay Y.
    Min, James K.
    KOREAN CIRCULATION JOURNAL, 2018, 48 (02) : 124 - 133
  • [22] Non-invasive Multimodality Imaging of Coronary Vulnerable Patient
    Canu, Marjorie
    Broisat, Alexis
    Riou, Laurent
    Vanzetto, Gerald
    Fagret, Daniel
    Ghezzi, Catherine
    Djaileb, Loic
    Barone-Rochette, Gilles
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [23] Fractional flow reserve derived from coronary CT angiography in stable coronary disease: a new standard in non-invasive testing?
    Norgaard, B. L.
    Jensen, J. M.
    Leipsic, J.
    EUROPEAN RADIOLOGY, 2015, 25 (08) : 2282 - 2290
  • [24] A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm
    Rostam-Alilou, Ali A.
    Safari, Marziyeh
    Jarrah, Hamid R.
    Zolfagharian, Ali
    Bodaghi, Mahdi
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2022, 17 (12) : 2221 - 2229
  • [25] Non-invasive coronary angiography: current status and perspectives
    Achenbach, S.
    Rost, C.
    Ropers, D.
    Pflederer, T.
    von Erffa, J.
    Daniel, W. G.
    DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2007, 132 (14) : 750 - 756
  • [26] Non-Invasive Imaging for Subclinical Coronary Atherosclerosis in Patients with Peripheral Artery Disease
    Ripa, Rasmus Sejersten
    Kjaer, Andreas
    Hesse, Birger
    CURRENT ATHEROSCLEROSIS REPORTS, 2014, 16 (06)
  • [27] Non-invasive coronary imaging in patients with COVID-19: A narrative review
    Onnis, Carlotta
    Muscogiuri, Giuseppe
    Bassareo, Pier Paolo
    Cau, Riccardo
    Mannelli, Lorenzo
    Cadeddu, Christian
    Suri, Jasjit S.
    Cerrone, Giulia
    Gerosa, Clara
    Sironi, Sandro
    Faa, Gavino
    Carriero, Alessandro
    Pontone, Gianluca
    Saba, Luca
    EUROPEAN JOURNAL OF RADIOLOGY, 2022, 149
  • [28] Non-invasive assessment of coronary artery bypass grafts by computed tomography:: Comparison with conventional coronary angiography
    Bautista, AT
    Estornell, J
    Ridocci, F
    Soriano, CJ
    Gudín, M
    Vilar, JV
    Federico, P
    Payá, R
    Cervera, V
    Velasco, JA
    REVISTA ESPANOLA DE CARDIOLOGIA, 2005, 58 (07): : 807 - 814
  • [29] Non-invasive imaging of Chronic Coronary Syndromes - CT Coronary Angiography and Stress Perfusion Cardiac MRI
    Muggler, Oliver
    Manka, Robert
    Alkadhi, Hatem
    Eberhard, Matthias
    THERAPEUTISCHE UMSCHAU, 2020, 77 (02) : 47 - 52
  • [30] The effect of blood pressure on non-invasive fractional flow reserve derived from coronary computed tomography angiography
    Kurata, Akira
    Coenen, Adriaan
    Lubbers, Marisa M.
    Nieman, Koen
    Kido, Teruhito
    Kido, Tomoyuki
    Yamashita, Natsumi
    Watanabe, Kouki
    Krestin, Gabriel P.
    Mochizuki, Teruhito
    EUROPEAN RADIOLOGY, 2017, 27 (04) : 1416 - 1423