参考文献
陈臻毅, 徐强, 梁自豪, 等. 动脉粥样硬化发病机制及其动物模型研究进展[J]. 实验动物科学, 2015, 32(4): 54-58.
樊瑜波, 邓小燕. 生物力学建模仿真与应用[M]. 上海:上海交通大学出版社, 2017.
何仕成.血管内支架植入狭窄血管段不同位置对支架内再狭窄的影响[D]. 重庆:重庆大学, 2019.
刘五州, 妥海燕, 吴国泰, 等. 家兔高脂血症和动脉粥样硬化模型研究进展[J]. 甘肃中医药大学学报, 2016, 33(1): 79-82.
王勖成, 邵敏. 有限单元法基本原理和数值方法[M]. 2版. 北京:清华大学出版社, 1997.
AbuRahma A F. Predictors of perioperative stroke/death after carotid artery stenting: a review article[J]. Ann Vasc Dis, 2018, 11(1): 15-24.
Ali Z A, Maehara A, Généreux P, et al. Optical coherence tomography compared with intravascular ultrasound and with angiography to guide coronary stent implantation(ILUMIEN III: OPTIMIZE PCI): a randomised controlled trial[J]. Lancet, 2016, 388(10060): 2618-2628.
Amatruda C M, Bona C C, Keller B K, et al. From histology and imaging data to models for in-stent restenosis[J]. Int J Artif Organs, 2014, 37(10): 786-800.
Aoki J, Tanabe K. Mechanisms of drug-eluting stent restenosis[J]. Cardiovasc Interv Ther, 2021, 36(1): 23-29.
Borhani S, Hassanajili S, Ahmadi Ti S H, et al. Cardiovascular stents: overview, evolution, and next generation[J]. Prog Biomater, 2018, 7(3): 175-205.
Buccheri S, Franchina G, Romano S, et al. Clinical outcomes following intravascular imaging-guided versus coronary angiography-guided percutaneous coronary intervention with stent implantation: a systematic review and bayesian network meta-analysis of 31 studies and 17,882 patients[J]. JACC Cardiovasc Interv, 2017, 10(24): 2488-2498.
Caputo M, Chiastra C, Cianciolo C, et al. Simulation of oxygen transfer in stented arteries and correlation with in-stent restenosis[J]. Int J Numer Method Biomed Eng, 2013, 29(12): 1373-1387.
Chaabane C, Otsuka F, Virmani R, et al. Biological responses in stented arteries[J]. Cardiovasc Res, 2013, 99(2): 353-263.
Cheng J, Zhang L T. Simulation of vessel tissue remodeling with residual stress: an application to in-stent restenosis[J]. Int J Smart Nano Mat, 2019, 10: 11-27.
Chiastra C, Morlacchi S, Gallo D, et al. Computational fluid dynamic simulations of image-based stented coronary bifurcation models[J]. J R Soc Interface, 2013, 10(84): 20130193.
Curcio A, Torella D, Indolfi C. Mechanisms of smooth muscle cell proliferation and endothelial regeneration after vascular injury and stenting: approach to therapy[J]. Circ J, 2011, 75(6): 1287-1296.
Dangas G D, Claessen B E, Caixeta A, et al. In-stent restenosis in the drug-eluting stent era[J]. J Am Coll Cardiol, 2010, 56(23): 1897-1907.
Darmoch F, Alraies M C, Al-Khadra Y, et al. Intravascular ultrasound imaging-guided versus coronary angiographyguided percutaneous coronary intervention: a systematic review and meta-analysis[J]. J Am Heart Assoc, 2020, 9(5): e013678.
Escuer J, Martínez M A, McGinty S, et al. Mathematical modelling of the restenosis process after stent implantation[J]. J R Soc Interface, 2019, 16(157): 20190313.
Fan J, Chen Y, Yan H, et al. Principles and applications of rabbit models for atherosclerosis research[J]. J Atheroscler Thromb, 2018, 25(3): 213-220.
Fan J, Kitajima S, Watanabe T, et al. Rabbit models for the study of human atherosclerosis: from pathophysiological mechanisms to translational medicine[J]. Pharmacol Ther, 2015, 146: 104-119.
Fereidoonnezhad B, Naghdabadi R, Sohrabpour S, et al. A mechanogical model for damage-induced growth in arterial tissue with application to in-stent restenosis[J]. J Mech Phys Solid, 2017, 101: 311-327.
Gao X F, Wang Z M, Wang F, et al. Intravascular ultrasound guidance reduces cardiac death and coronary revascularization in patients undergoing drug-eluting stent implantation: results from a meta-analysis of 9 randomized trials and 4 724 patients[J]. Int J Cardiovasc Imaging, 2019, 35(2): 239-247.
Garg S, Serruys P W. Coronary stents: current status[J]. J Am Coll Cardiol, 2010, 56(10 Suppl): S1-42.
Gastaldi D, Morlacchi S, Nichetti R, et al. Modelling of the provisional side-branch stenting approach for the treatment of atherosclerotic coronary bifurcations: effects of stent positioning[J]. Biomech Model Mechan, 2010, 9(5): 551-561.
Ge S, Xi Y, Du R, et al. Inhibition of in-stent restenosis after graphene oxide double-layer drug coating with good biocompatibility[J]. Regen Biomater, 2019, 6(5): 299-309.
Gori T. Vascular wall reactions to coronary stents-clinical implications for stent failure[J]. Life(Basel), 2021, 11(1): 63.
He S, Liu W, Qu K, et al. Effects of different positions of intravascular stent implantation in stenosed vessels on instent restenosis: An experimental and numerical simulation study[J]. J Biomech, 2020, 113: 110089.
Hung O Y, Molony D, Corban M T, et al. Comprehensive assessment of coronary plaque progression with advanced intravascular imaging, physiological measures, and wall shear stress: a pilot double-blinded randomized controlled clinical trial of nebivolol versus atenolol in nonobstructive coronary artery disease[J]. J Am Heart Assoc, 2016, 5(1): e002764.
Iqbal J, Chamberlain J, Francis S E, et al. Role of animal models in coronary stenting[J]. Ann Biomed Eng, 2016, 44(2): 453-465.
Jang T S, Lee J H, Kim S, et al. Ta ion implanted nanoridge-platform for enhanced vascular responses[J]. Biomaterials, 2019, 223: 119461.
Jones D A, Rathod K S, Koganti S, et al. Angiography alone versus angiography plus optical coherence tomography to guide percutaneous coronary Intervention: outcomes from the pan-london PCI cohort[J]. JACC Cardiovasc Interv, 2018, 11(14): 1313-1321.
Khosravi A, Akbari A, Bahreinizad H, et al. Optimizing through computational modeling to reduce dogboning of functionally graded coronary stent material[J]. J Mater Sci Mater Med, 2017, 28(9): 142.(https://www.daowen.com)
Koskinas K C, Chatzizisis Y S, Antoniadis A P, et al. Role of endothelial shear stress in stent restenosis and thrombosis: pathophysiologic mechanisms and implications for clinical translation[J]. J Am Coll Cardiol, 2012, 59(15): 1337-1349.
Kurogi K, Ishii M, Yamamoto N, et al. Optical coherence tomography-guided percutaneous coronary intervention: a review of current clinical applications[J]. Cardiovasc Interv Ther, 2021, 36(2): 169-177.
Li H, Liu T, Wang M, et al. Design optimization of stent and its dilatation balloon using kriging surrogate model[J]. Biomed Eng Online, 2017, 16(1): 13.
Li X, Zhang W, Lin W, et al. Long-term efficacy of biodegradable metal-polymer composite stents after the first and the second implantations into porcine coronary arteries[J]. ACS Appl Mater Interfaces, 2020, 12(13): 15703-15715.
Migliori S, Chiastra C, Bologna M, et al. A framework for computational fluid dynamic analyses of patient-specific stented coronary arteries from optical coherence tomography images[J]. Med Eng Phys, 2017, 47: 105-116.
Morlacchi S, Keller B, Arcangeli P, et al. Hemodynamics and in-stent restenosis: micro-CT images, histology, and computer simulations[J]. Ann Biomed Eng, 2011, 39(10): 2615-2626.
Nakajima A, Araki M, Kurihara O, et al. Predictors for rapid progression of coronary calcification: an optical coherence tomography study[J]. J Am Heart Assoc, 2021, 10(3): e019235.
Nicolais C, Lakhter V, Virk H U H, et al. Therapeutic options for in-stent restenosis[J]. Curr Cardiol Rep, 2018, 20(2): 7.
Olinic D M, Spinu M, Homorodean C, et al. Real-life benefit of OCT imaging for optimizing PCI indications, strategy, and results[J]. J Clin Med, 2019, 8(4): 437.
Opolski M P, Schumacher S P, Verouden N J W, et al. On-site computed tomography versus angiography alone to guide coronary stent implantation: a prospective randomized study[J]. J Invasive Cardiol, 2020, 32(11): E268-276.
Prati F, Romagnoli E, Burzotta F, et al. Clinical impact of OCT findings during PCI: the CLI-OPCI II study[J]. JACC Cardiovasc Imaging, 2015, 8(11): 1297-1305.
Rykowska I, Nowak I, Nowak R. Drug-eluting stents and balloons-materials, structure designs, and coating techniques: a review[J]. Molecules, 2020, 25(20): 4624.
Samady H, Eshtehardi P, McDaniel M 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[J]. Circulation, 2011, 124(7): 779-788.
Shishido K, Antoniadis A P, Takahashi S, et al. Effects of low endothelial shear stress after stent implantation on subsequent neointimal hyperplasia and clinical outcomes in humans[J]. J Am Heart Assoc, 2016, 5(9): e002949.
Stefanini G G, Taniwaki M, Windecker S. Coronary stents: novel developments[J]. Heart. 2014, 100(13): 1051-1061.
Suna G, Wojakowski W, Lynch M, et al. Extracellular matrix proteomics reveals interplay of aggrecan and aggrecanases in vascular remodeling of stented coronary arteries[J]. Circulation, 2018, 137(2): 166-183.
Sun C K, Shao P L, Wang C J, et al. Study of vascular injuries using endothelial denudation model and the therapeutic application of shock wave: a review[J]. Am J Transl Res, 2011, 3(3): 259-268.
Tearney G J, Regar E, Akasaka T, et al. Consensus standards for acquisition, measurement, and reporting of intravascular optical coherence tomography studies: a report from the international working group for intravascular optical coherence tomography standardization and validation[J]. J Am Coll Cardiol, 2012, 59(12): 1058-1072.
Thondapu V, Tenekecioglu E, Poon E K W, et al. Endothelial shear stress 5 years after implantation of a coronary bioresorbable scaffold[J]. Eur Heart J, 2018, 39(18): 1602-1609.
Tonino P A, Bruyne B, Pijls N H, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention[J]. N Engl J Med, 2009, 360(3): 213-224.
Ullrich H, Münzel T, Gori T. Coronary stent thrombosis-predictors and prevention[J]. Dtsch Arztebl Int, 2020, 117(18): 320-326.
Wang J, Jin X, Huang Y, et al. Endovascular stent-induced alterations in host artery mechanical environments and their roles in stent restenosis and late thrombosis[J]. Regen Biomater, 2018, 5(3): 177-187.
Wei L, Leo H L, Chen Q, et al. Structural and hemodynamic analyses of different stent structures in curved and stenotic coronary artery[J]. Front Bioeng Biotechnol, 2019, 7:366.
Wiesent L, Schultheiß U, Schmid C, et al. Experimentally validated simulation of coronary stents considering different dogboning ratios and asymmetric stent positioning[J]. PLoS One, 2019, 14(10): e0224026.
World health statistics 2020: monitoring health for the SDGs, sustainable development goals. Geneva: World Health Organization, 2020. Licence: CC BY-NC-SA 3.0 IGO.
Wu W, Wang W Q, Yang D Z, et al. Stent expansion in curved vessel and their interactions: a finite element analysis[J]. J Biomech, 2007, 40(11): 2580-2585.
Yang H, Wang C, Liu C, et al. Evolution of the degradation mechanism of pure zinc stent in the one-year study of rabbit abdominal aorta model[J]. Biomaterials, 2017, 145: 92-105.
Yang X, Yang Y, Guo J, et al. Targeting the epigenome in in-stent restenosis: from mechanisms to therapy[J]. Mol Ther Nucleic Acids, 2021, 23: 1136-1160.
Yelamanchili V S, Hajouli S. Coronary Artery Stents. 2020. In: StatPearls[M]. Treasure Island(FL): StatPearls Publishing, 2021.
Zhao Y, Du R, Zhou T, et al. Arsenic trioxide-coated stent is an endothelium-friendly drug eluting stent[J]. Adv Healthc Mater, 2018, 7(15): e1800207.
Zhou T, Zheng Y, Sun L, et al. Microvascular endothelial cells engulf myelin debris and promote macrophage recruitment and fibrosis after neural injury[J]. Nat Neurosci, 2019, 22(3): 421-435.
Zhou Y, Tong J, Li X, et al. Numerical simulation of haemodynamics of the descending aorta in the non-diabetic and diabetic rabbits[J]. J Biomech, 2019, 91: 140-150.
Zun P S, Narracott A J, Chiastra C, et al. Location-specific comparison between a 3D in-stent restenosis model and micro-CT and histology data from porcine in vivo experiments[J]. Cardiovasc Eng Technol, 2019, 10(4): 568-582.