دورية أكاديمية

A simple coronary blood flow model to study the collateral flow index.

التفاصيل البيبلوغرافية
العنوان: A simple coronary blood flow model to study the collateral flow index.
المؤلفون: Blanco PJ; Laboratório Nacional de Computação Científica, Av. Getúlio Vargas 333, Petrópolis, 25651-075, Brazil. pjblanco@lncc.br.; National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil. pjblanco@lncc.br., Bulant CA; National University of the Center and National Scientific and Technical Research Council, CONICET, Tandil, Argentina.; National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil., Ares GD; National University of Mar del Plata, Mar del Plata, Argentina., Lemos PA; Hospital Israelita Albert Einstein., São Paulo, Brazil.; National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil., Feijóo RA; Laboratório Nacional de Computação Científica, Av. Getúlio Vargas 333, Petrópolis, 25651-075, Brazil.; National Institute of Science and Technology in Medicine Assisted by Scientific Computing, INCT-MACC, Petrópolis, Brazil.
المصدر: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2021 Aug; Vol. 20 (4), pp. 1365-1382. Date of Electronic Publication: 2021 Mar 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin ; New York : Springer, c2002-
مواضيع طبية MeSH: Coronary Circulation*, Collateral Circulation/*physiology , Coronary Vessels/*physiopathology, Aorta/physiology ; Fractional Flow Reserve, Myocardial ; Heart ; Hemodynamics/physiology ; Humans ; Mesenteric Vascular Occlusion/pathology ; Models, Cardiovascular ; Models, Theoretical
مستخلص: In this work, we present a novel modeling framework to investigate the effects of collateral circulation into the coronary blood flow physiology. A prototypical model of the coronary tree, integrated with the concept of Collateral Flow Index (CFI), is employed to gain insight about the role of model parameters associated with the collateral circuitry, which results in physically-realizable solutions for specific CFI data. Then, we discuss the mathematical feasibility of pressure-derived CFI, anatomical implications and practical considerations involving the estimation of model parameters in collateral connections. A sensitivity analysis is carried out, and the investigation of the impact of the collateral circulation on FFR values is also addressed.
(© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
References: Allahwala UK, Kott K, Bland A, Ward M, Bhindi R (2020) Predictors and prognostic implications of well-matured coronary collateral circulation in patients with a chronic total occlusion (CTO). Int Heart J 61:223–230. (PMID: 10.1536/ihj.19-456)
Baroldi G, Mantero O, Scomazzoni G (1956) The Collaterals of the coronary arteries in normal and pathologic hearts. Circ Res 4(2):223–229. (PMID: 10.1161/01.RES.4.2.223)
Berry C, Balachandran KP, L’Allier PL, Lesperance J, Bonan R, Oldroyd KG (2007) Importance of collateral circulation in coronary heart disease. Eur Heart J 28(3):278–291. (PMID: 10.1093/eurheartj/ehl446)
Bezerra CG, Hideo-Kajita A, Bulant CA, Maso-Talou GD, Mariani J, Pinton FA, Falcão BAA, Esteves-Filho A, Franken M, Feijóo RA, Kalil-Filho R, García-García HM, Blanco PJ, Lemos PA (2019) Coronary fractional flow reserve derived from intravascular ultrasound imaging: validation of a new computational method of fusion between anatomy and physiology. Catheter Cardiovasc Interv 93(2):266–274. (PMID: 10.1002/ccd.27822)
Blanco PJ, Queiroz RAB, Feijóo RA (2013) A computational approach to generate concurrent arterial networks in vascular territories. Int J Numer Methods Biomed Eng 29:601–614. (PMID: 10.1002/cnm.2547)
Blanco PJ, Watanabe SM, Dari EA, Passos MARF, Feijóo RA (2014) Blood flow distribution in an anatomically detailed arterial network model: criteria and algorithms. Biomech Model Mechanobiol 13(6):1303–1330. (PMID: 10.1007/s10237-014-0574-8)
Blanco PJ, Watanabe SM, Passos MARF, Lemos PA, Feijóo RA (2015) An anatomically detailed arterial network model for one-dimensional computational hemodynamics. IEEE Trans Biomed Eng 62(2):736–753. (PMID: 10.1109/TBME.2014.2364522)
Blanco PJ, Bulant CA, Müller LO, Talou GDM, Bezerra CG, Lemos PA, Feijóo RA (2018) Comparison of 1D and 3D models for the estimation of fractional flow reserve. Sci Rep 8(1):1–12.
Bulant CA, Blanco PJ, Maso Talou GD, Bezerra CG, Lemos PA, Feijóo RA (2017) A head-to-head comparison between CT- and IVUS-derived coronary blood flow models. J Biomech 51:65–76. (PMID: 10.1016/j.jbiomech.2016.11.070)
Chilian WM, Penn MS, Pung YF, Dong F, Mayorga M, Ohanyan V, Logan S, Yin L (2012) Coronary collateral growth - back to the future. J Mol Cell Cardiol 52(4):905–911. (PMID: 10.1016/j.yjmcc.2011.12.006)
Coleman TF, Li Y (1996) An interior trust region approach for nonlinear minimization subject to bounds. SIAM J Optim 6(2):418–445. (PMID: 10.1137/0806023)
Coppel R et al (2019) Influence of collaterals on true FFR prediction for a left main stenosis with concomitant lesions: an in vitro study. Ann Biomed Eng 47(6):1409–1421. (PMID: 10.1007/s10439-019-02235-y)
De Marchi SF, Streuli S, Haefeli P, Gloekler S, Traupe T, Warncke C, Rimoldi SF, Stortecky S, Steck H, Seiler C (2012) Determinants of prognostically relevant intracoronary electrocardiogram st-segment shift during coronary balloon occlusion. Am J Cardiol 110(9):1234–1239. (PMID: 10.1016/j.amjcard.2012.06.023)
De Marchi SF, Gassmann C, Traupe T, Gloekler S, Cook S, Vogel R, Gysi K, Seiler C (2019) Coronary wave intensity patterns in stable coronary artery disease: influence of stenosis severity and collateral circulation. Open Heart 6:e000999. (PMID: 10.1136/openhrt-2018-000999)
Di Mario C, Bambagioni G (2020) Coronary collaterals, the natural grafts of CTO lesions - good enough to keep most myocardium alive, unable to prevent ischaemia. EuroIntervention 16(6):e441–e444. (PMID: 10.4244/EIJV16I6A79)
Fossan FE, Sturdy J, Müller LO, Strand A, Bråten AT, Jørgensen A, Wiseth R, Hellevik LR (2018) Uncertainty quantification and sensitivity analysis for computational FFR estimation in stable coronary artery disease. Cardiovasc Eng Technol 9(4):597–622. (PMID: 10.1007/s13239-018-00388-w)
Fulton WF (1964) The time factor in the enlargement of anastomoses in coronary artery disease. Scott Med J 9:18–23. (PMID: 10.1177/003693306400900104)
Gao F, Han L (2012) Implementing the nelder-mead simplex algorithm with adaptive parameters. Comput Optim Appl 51(1):259–277. (PMID: 10.1007/s10589-010-9329-3)
Ge X, Liu Y, Tu S, Simakov S, Vassilevski Y, Liang F (2019) Model-based analysis of the sensitivities and diagnostic implications of ffr and cfr under various pathological conditions. Int J Num Methods Biomedi Eng. https://doi.org/10.1002/cnm.3257.
Grundmann S, Piek JJ, Pasterkamp G, Hoefer IE (2007) Arteriogenesis: basic mechanisms and therapeutic stimulation. Eurn J Clin Investig 37(10):755–766. (PMID: 10.1111/j.1365-2362.2007.01861.x)
Guyton AC, Hall JE (2006) Textbook of medical physiology, 11th edn. Elsevier Saunders, Philadelphia.
Hearse DJ, Yellon DM, Maxwell MP (1987) Species variation in the coronary collateral circulation during regional myocardial ischaemia: a critical determinant of the rate of evolution and extent of myocardial infarction. Cardiovasc Res 21(10):737–746. (PMID: 10.1093/cvr/21.10.737)
Heil M, Schaper W (2004) Influence of mechanical, cellular, and molecular factors on collateral artery growth (arteriogenesis). Circ Res 95(5):449–458. (PMID: 10.1161/01.RES.0000141145.78900.44)
Jamaiyar A, Juguilon C, Dong F, Cumpston D, Enrick M, Chilian WM, Yin L (2019) Cardioprotection during ischemia by coronary collateral growth. Am J Physiol Heart Circ Physiol 316(1):H1–H9. (PMID: 10.1152/ajpheart.00145.2018)
Johnson NP, Kirkeeide RL, Gould KL (2012a) Is discordance of coronary flow reserve and fractional flow reserve due to methodology or clinically relevant coronary pathophysiology. JACC Cardiovasc Imaging 5(2):193–202. (PMID: 10.1016/j.jcmg.2011.09.020)
Johnson NP, Kirkeeide RL, Gould KL (2012b) Is discordance of coronary flow reserve and fractional flow reserve due to methodology or clinically relevant coronary pathophysiology. JACC Cardiovasc Imaging 5(2):193–202. (PMID: 10.1016/j.jcmg.2011.09.020)
Karrowni W, El Accaoui RN, Chatterjee K (2013) Coronary collateral circulation: its relevance: coronary collateral circulation. Catheter Cardiovasc Interv 82(6):915–928. (PMID: 10.1002/ccd.24910)
Koerselman J (2003) Coronary collaterals: an important and underexposed aspect of coronary artery disease. Circulation 107(19):2507–2511. (PMID: 10.1161/01.CIR.0000065118.99409.5F)
Kruk M, Wardziak L, Mintz GS, Achenbach S, Pregowski J, Ruzyllo W, Dzielinska Z, Demkow M, Witkowski A, Kepka C (2014) Accuracy of coronary computed tomography angiography vs intravascular ultrasound for evaluation of vessel area. J Cardiovasc Comput Tomogr 8(2):141–148. (PMID: 10.1016/j.jcct.2013.12.014)
Kweon J, Kim YH, Yang D, Lee JG, Roh JH, Mintz G, Lee SW, Park SW (2016) In vivo validation of mathematically derived fractional flow reserve for assessing haemodynamics of coronary tandem lesions. EuroIntervention 12(11):e1375–e1384. (PMID: 10.4244/EIJ-D-15-00469)
Leber AW, Knez A, von Ziegler F, Becker A, Nikolaou K, Paul S, Wintersperger B, Reiser M, Becker CR, Steinbeck G, Boekstegers P (2005) Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography. J Am Coll Cardiol 46(1):147–154. (PMID: 10.1016/j.jacc.2005.03.071)
Levin DC (1974) Pathways and functional significance of the coronary collateral circulation. Circulation 50(4):831–837. (PMID: 10.1161/01.CIR.50.4.831)
Meier P, Schirmer SH, Lansky AJ, Timmis A, Pitt B, Seiler C (2013) The collateral circulation of the heart. BMC Med 11(1):1–7. (PMID: 10.1186/1741-7015-11-1)
Müller LO, Fossan FE, Braten AT, Jorgensen A, Wiseth R, Hellevik LR (2019) Impact of baseline coronary flow and its distribution on fractional flow reserve prediction. Int J Num Methods Biomed Eng. https://doi.org/10.1002/cnm.3246.
Peelukhana SV, Back LH, Banerjee RK (2009) Influence of coronary collateral flow on coronary diagnostic parameters: an in vitro study. J Biomech 42(16):2753–2759. (PMID: 10.1016/j.jbiomech.2009.08.013)
Pijls NH, van Son JA, Kirkeeide RL, De Bruyne B, Gould KL (1993) Experimental basis of determining maximum coronary, myocardial, and collateral blood flow by pressure measurements for assessing functional stenosis severity before and after percutaneous transluminal coronary angioplasty. Circulation 87(4):1354–1367. (PMID: 10.1161/01.CIR.87.4.1354)
Sankaran S, Grady L, Taylor CA (2015) Impact of geometric uncertainty on hemodynamic simulations using machine learning. Comput Methods Appl Mech Eng 297:167–190. (PMID: 10.1016/j.cma.2015.08.014)
Schaper W, Scholz D (2003) Factors regulating arteriogenesis. Arterioscler Thromb Vasc Biol 23(7):1143–1151. (PMID: 10.1161/01.ATV.0000069625.11230.96)
Seiler C (2013) Assessment and impact of the human coronary collateral circulation on myocardial ischemia and outcome. Circ Cardiovasc Interv 6(6):719–728. (PMID: 10.1161/CIRCINTERVENTIONS.113.000555)
Seiler C, Fleisch M, Garachemani A, Meier B (1998) Coronary collateral quantitation in patients with coronary artery disease using intravascular flow velocity or pressure measurements. J Am Coll Cardiol 32:1272–1279. (PMID: 10.1016/S0735-1097(98)00384-2)
Seiler C, Stoller M, Pitt B, Meier P (2013) The human coronary collateral circulation: development and clinical importance. Eur Heart J 34(34):2674–2682. (PMID: 10.1093/eurheartj/eht195)
Suter MJ, Nadkarni SK, Weisz G, Tanaka A, Jaffer FA, Bouma BE, Tearney GJ (2011) Intravascular optical imaging technology for investigating the coronary artery. JACC Cardiovasc Imaging 4(9):1022–1039. (PMID: 10.1016/j.jcmg.2011.03.020)
Taylor CA, Fonte TA, Min JK (2013) Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve. J Am Coll Cardiol 61(22):2233–2241. (PMID: 10.1016/j.jacc.2012.11.083)
Tröbs M, Achenbach S, Röther J, Redel T, Scheuering M, Winneberger D, Klingenbeck K, Itu L, Passerini T, Kamen A, Sharma P, Comaniciu D, Schlundt C (2016) Comparison of fractional flow reserve based on computational fluid dynamics modeling using coronary angiographic vessel morphology versus invasively measured fractional flow reserve. Am J Cardiol 117(1):29–35. (PMID: 10.1016/j.amjcard.2015.10.008)
Van Royen N, Piek JJ, Buschmann I, Hoefer I, Voskuil M, Schaper W (2001) Stimulation of arteriogenesis; a new concept for the treatment of arterial occlusive disease. Cardiovasc Res 49(3):543–553. (PMID: 10.1016/S0008-6363(00)00206-6)
Wustmann K (2003) Is there functional collateral flow during vascular occlusion in angiographically normal coronary arteries? Circulation 107(17):2213–2220. (PMID: 10.1161/01.CIR.0000066321.03474.DA)
Young DF, Tsai FY (1973) Flow characteristics in models of arterial stenoses. I Steady Flow. J Biomech 6(4):395–410. (PMID: 10.1016/0021-9290(73)90099-7)
Zimarino M, D’Andreamatteo M, Waksman R, Epstein SE, De Caterina R (2014) The dynamics of the coronary collateral circulation. Nat Revi Cardiol 11(4):191–197. (PMID: 10.1038/nrcardio.2013.207)
معلومات مُعتمدة: 301224/2016-1 Conselho Nacional de Desenvolvimento Científico e Tecnológico; 407751/2018-1 Conselho Nacional de Desenvolvimento Científico e Tecnológico; 2014/50889-7 Fundação de Amparo à Pesquisa do Estado de São Paulo; PICT-2018-02427 Agencia Nacional de Promoción Científica y Tecnológica
فهرسة مساهمة: Keywords: Blood flow; Collateral vessels; Coronary arteries; Fractional flow reserve; Mathematical model
تواريخ الأحداث: Date Created: 20210327 Date Completed: 20220110 Latest Revision: 20220110
رمز التحديث: 20231215
DOI: 10.1007/s10237-021-01449-1
PMID: 33772676
قاعدة البيانات: MEDLINE
الوصف
تدمد:1617-7940
DOI:10.1007/s10237-021-01449-1