Numerical investigation of renal artery hemodynamics based on the physiological response to renal artery stenosis

• Autorzy: Andayesh Mohammad , Shahidian Azadeh , Ghassemi Majid

Identyfikatory

DOI

10.1016/j.bbe.2020.08.006

• Języki publikacji: EN

Abstrakty

EN

Renal Artery Stenosis (RAS) is the narrowing of renal arteries, most often caused by atherosclerosis or fibromuscular dysplasia. Possible complications of renal artery stenosis are renovascular hypertension and renal ischemia. The goals of the current study were to investigate the physiological response to RAS and effects of the artery and stenosis geometry, quantify the performance of arterial pressure regulation mechanisms respect to stenosis severity, and predict future conditions of renal artery stenosis. Commercial software based on the finite volume method was utilized to solve governing equations. To determine the physiological response, simulations were done for two cases, with and without the involvement of arterial pressure regulation mechanisms. The numerical method was validated by experimental data, which obtained from two prototypes. Results showed that systemic blood pressure was increased as the physiological response to RAS; hence, the flow rate of the renal branch was improved and renal ischemia was relatively prevented. Furthermore, results demonstrated that the stenosis percentage and artery diameter were dominant geometric parameters on the hemodynamics and other parameters had negligible effects. It was demonstrated that 50% of stenosis was the critical point for the interaction of RAS and arterial pressure regulation mechanisms. Finally, wall shear stress was analyzed on an image-based geometry, and it was estimated and expected that acute renal artery stenosis was progressive and pathogenesis of arterial diseases.

Słowa kluczowe

EN

renal artery stenosis; hemodynamics; arterial pressure regulation; CFD simulation; renovascular hypertension; renal ischemia

PL

zwężenie tętnicy nerkowej; hemodynamika; regulacja ciśnienia tętniczego; niedokrwienie nerek

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2020
• Tom: Vol. 40, no. 4
• Strony: 1458--1468
• Opis fizyczny: Bibliogr. 50 poz., rys., tab., wykr.

Twórcy

autor

Andayesh Mohammad

• Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran

autor

Shahidian Azadeh

• Department of Mechanical Engineering, K. N. Toosi University of Technology, Pardis St. Mollasadra Ave. Vanak Square, Tehran, Iran

autor

Ghassemi Majid

• Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Bibliografia

• [1] Guyton AC, Hall JE. Textbook of medical physiology. Philadelphia: Saunders; 1986.
• [2] Shukla VV, Padole PM, Deshpande DS, Mardikar DH. Secondary hypertension manifests renal artery stenosis and weakened kidney. J Mech Med Biol 2011;11:73.
• [3] Uflacker A, Matsumoto AH. Renal artery stenosis. IR playbook. Springer; 2018. p. 293–304.
• [4] Postnov DD, Marsh DJ, Postnov DDE, Braunstein TH, Holstein-Rathlou N-H, Martens EA, et al. Modeling of kidney hemodynamics: probability-based topology of an arterial network. PLoS Comput Biol 2016;12e1004922.
• [5] du Mont LS, Parmentier A-L, Puyraveau M, Mauny F, Guillon B, Rinckenbach S, et al. To assess hemodynamic disturbances to the ostia of the renal arteries generated by the implantation of EVAR with a suprarenal fixation. Medicine 2020;99e19917.
• [6] van de Velde L, Donselaar EJ, Jebbink EG, Boersen JT, Lajoinie GP, de Vries J-PP, et al. Partial renal coverage in endovascular aneurysm repair causes unfavorable renal flow patterns in an infrarenal aneurysm model. J Vasc Surg 2018;67:1585–94.
• [7] Mkangala AM, Mayala HA, Bakari KH, Dong XJ. Kissing stent management of stenosis of two branches of left renal artery bifurcation: a case report. J Med Case Rep 2019;13:197.
• [8] Tanemoto M. Renal angioplasty deteriorated the outcome of shockwave therapy for atherosclerotic renal artery stenosis. J Hypertens 2019;37:2301–2.
• [9] Basri AA, Khader SA, Johny C, Pai R, Zuber M, Ahmad Z, et al. Effect of single and double stenosed on renal arteries of abdominal aorta: a computational fluid dynamics. CFD Letters 2019;12:87–97.
• [10] Chapman CL, Benati JM, Johnson BD, Vargas NT, Lema PC, Schlader ZJ. Renal and segmental artery hemodynamics during whole body passive heating and cooling recovery. J Appl Physiol 2019;127:974–83.
• [11] Steele B. Using one-dimensional finite element analysis to estimate differential pressure of renal artery stenoses. 2007 Computers in Cardiology: IEEE 2007;391–4.
• [12] Mortazavinia Z, Arabi S, Mehdizadeh A. Numerical investigation of angulation effects in stenosed renal arteries. J Biomed Phys Eng 2014;4:1.
• [13] Zhang W, Qian Y, Lin J, Lv P, Karunanithi K, Zeng M. Hemodynamic analysis of renal artery stenosis using computational fluid dynamics technology based on unenhanced steady-state free precession magnetic resonance angiography: preliminary results. Int J Cardiovasc Imaging 2014;30:367–75.
• [14] Mandaltsi A, Grytsan A, Odudu A, Kadziela J, Morris PD, Witkowski A, et al. Non-invasive stenotic renal artery haemodynamics by in silico medicine. Front Physiol 2018;9:1106.
• [15] Kadoya Y, Zen K, Matoba S. Endovascular treatment of transplant renal artery stenosis based on hemodynamic assessment using a pressure wire: a case report. BMC Cardiovasc Disord 2018;18:1–6.
• [16] Nicholson M, Yong C, Trotter P, Grant L, Hosgood S. Risk factors for transplant renal artery stenosis after live donor transplantation. BJS Society 2019;106:199–205.
• [17] Wang H-Y, Liu L-S, Cao H-M, Li J, Deng R-H, Fu Q, et al. Hemodynamics in transplant renal artery stenosis and its alteration after stent implantation based on a patient-specific computational fluid dynamics model. Chin Med J 2017;130:23–31.
• [18] Malone A, Chari D, Cournane S, Naydenova I, Fagan A, Browne J. Investigation of the assessment of low degree (< 50%) renal artery stenosis based on velocity flow profile analysis using Doppler ultrasound: an in-vitro study. Phys Med 2019;65:209–18.
• [19] Jiang K, Ferguson CM, Abumoawad A, Saad A, Textor SC, Lerman LO. A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography. PLoS One 2019;14.
• [20] Chapman CL, Johnson BD, Hostler D, Lema PC, Schlader ZJ. Reliability and agreement of human renal and segmental artery hemodynamics measured using Doppler ultrasound. J Appl Physiol 2020;128:627–36.
• [21] Seeley BD, Young DF. Effect of geometry on pressure losses across models of arterial stenoses. J Biomech 1976;9:439–48.
• [22] Roy M, Sikarwar BS, Bhandwal M, Ranjan P. Modelling of blood flow in stenosed arteries. Procedia Comput Sci 2017;115:821–30.
• [23] Jhunjhunwala P, Padole P, Thombre S, Sane A. Prediction of blood pressure and blood flow in stenosed renal arteries using CFD. IOP Conference Series: Materials Science and Engineering: IOP Publishing 2018. p. 012066.
• [24] Shahidian A, Hassankiadeh AG. Stress analysis of internal carotid artery with low stenosis level: the effect of material model and plaque geometry. J Mech Med Biol 2017;171750098.
• [25] Jahromi R, Pakravan HA, Saidi MS, Firoozabadi B. Primary stenosis progression versus secondary stenosis formation in the left coronary bifurcation: a mechanical point of view. Biocybern Biomed Eng 2019;39:188–98.
• [26] Javadzadegan A, Fulker D, Barber T. Recirculation zone length in renal artery is affected by flow spirality and renal-to-aorta flow ratio. Comput Methods Biomech Biomed Engin 2017;20:980–90.
• [27] Fuchs A, Berg N, Prahl Wittberg L. Stenosis indicators applied to patient-specific renal arteries without and with stenosis. Fluids 2019;4:26.
• [28] Wang J, Parker K. Wave propagation in a model of the arterial circulation. J Biomech 2004;37:457–70.
• [29] Gataulin YA, Zaitsev DK, Smirnov EM, Fedorova EA, Yukhnev AD. Weakly swirling flow in a model of blood vessel with stenosis: numerical and experimental study. St Petersburg Polytech Univ J Phys Math 2015;1:364–71.
• [30] Abbasian M, Shams M, Valizadeh Z, Moshfegh A, Javadzadegan A, Cheng S. Effects of different non- Newtonian models on unsteady blood flow hemodynamics in patient-specific arterial models with in-vivo validation. Comput Methods Programs Biomed 2020;186105185.
• [31] Nadeem S, Ijaz S. Theoretical analysis of shear thinning hyperbolic tangent fluid model for blood flow in curved artery with stenosis. J Appl Fluid Mech 2016;9:2217–27.
• [32] Habibi MR, Ghassemi M, Shahidian A. Investigation of biomagnetic fluid flow under nonuniform magnetic fields. Nanoscale Microscale Thermophys Eng 2012;16:64–77.
• [33] Soares AA, Gonzaga S, Oliveira C, Simões A, Rouboa AI. Computational fluid dynamics in abdominal aorta bifurcation: non-Newtonian versus Newtonian blood flow in a real case study. Comput Methods Biomech Biomed Engin 2017;20:822–31.
• [34] Moore Jr J, Ku D, Zarins C, Glagov S. Pulsatile flow visualization in the abdominal aorta under differing physiologic conditions: implications for increased susceptibility to atherosclerosis; 1992.
• [35] Hidayanto E, Tanabe T, Kawai J. Measurement of viscosity and sucrose concentration in aqueous solution using portable Brix meter. Berkala Fisika 2010;13:23–8.
• [36] Kirkup L, Frenkel RB. An introduction to uncertainty in measurement: using the GUM (guide to the expression of uncertainty in measurement). Cambridge University Press; 2006.
• [37] Buradi A, Mahalingam A. Effect of stenosis severity on wall shear stress based hemodynamic descriptors using multiphase mixture theory. J Appl Fluid Mech 2018;11:1497– 509.
• [38] Buradi A, Mahalingam A. Impact of coronary tortuosity on the artery hemodynamics. Biocybern Biomed Eng 2020;40:126–47.
• [39] Lee Y, Shin J-H, Park H-C, Kim SG, Choi S-i. A prediction model for renal artery stenosis using carotid ultrasonography measurements in patients undergoing coronary angiography. BMC Nephrol 2014;15:60.
• [40] Reynolds HR, Tunick PA, Benenstein RJ, Nakra NC, Shah A, Spevack DM, et al. Frequency of severe renal artery stenosis in patients with severe thoracic aortic plaque. Am J Cardiol 2004;94:844–6.
• [41] Textor SC. Renal arterial disease and hypertension. Med Clin North Am 2017;101:65–79.
• [42] de Leeuw P, de Vink M, Woittiez AJ. A6174 Hypertension and renal functional impairment in patients with incidental low-grade renal artery stenosis. J Hypertens 2018;36:e165.
• [43] Plouin P-F, Bax L. Diagnosis and treatment of renal artery stenosis. Nat Rev Nephrol 2010;6:151.
• [44] Cusi D. Renal hypertension.second edition. Encyclopedia of endocrine diseases, vol. 3, second edition Academic Press; 2019.
• [45] Eardley K, Lipkin G. Atherosclerotic renal artery stenosis: is it worth diagnosing? J Hum Hypertens 1999;13:217–20.
• [46] Rocha-Singh KJ, Eisenhauer AC, Textor SC, Cooper CJ, Tan WA, Matsumoto AH, et al. Atherosclerotic peripheral vascular disease symposium II: intervention for renal artery disease. Circulation 2008;118:2873–8.
• [47] de Leeuw PW, Postma CT, Spiering W, Kroon AA. Atherosclerotic renal artery stenosis: should we intervene earlier? Curr Hypertens Rep 2018;20:35.
• [48] Papaioannou TG, Stefanadis C. Vascular wall shear stress: basic principles and methods. Hellenic J Cardiol 2005;46:9– 15.
• [49] Samady H, Eshtehardi P, McDaniel MC, Suo J, Dhawan SS, Maynard C, et al. Coronary artery wall shear stress is associated with progression and transformation of atherosclerotic plaque and arterial remodeling in patients with coronary artery disease. Circulation 2011;124:779–88.
• [50] Bajraktari A, Bytyçi I, Henein MY. The relationship between coronary artery wall shear strain and plaque morphology: a systematic review and meta-analysis. Diagnostics 2020;10:91.