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Numerical study on low-density lipoprotein transport in intracranial aneurysms and its association with wall enhancement.

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Τίτλος: Numerical study on low-density lipoprotein transport in intracranial aneurysms and its association with wall enhancement.
Συγγραφείς: Tian Y; Department of Engineering Mechanics, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.; State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China., Zhang J; Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Zhao H; Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Li X; Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. lixiao3606@163.com., Liang F; Department of Engineering Mechanics, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. fuyouliang@sjtu.edu.cn.; State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. fuyouliang@sjtu.edu.cn.
Πηγή: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2025 Dec; Vol. 24 (6), pp. 2003-2022. Date of Electronic Publication: 2025 Aug 27.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: 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
Imprint Name(s): Original Publication: Berlin ; New York : Springer, c2002-
Ιατρικοί όροι (MeSH): Intracranial Aneurysm*/metabolism , Intracranial Aneurysm*/physiopathology , Intracranial Aneurysm*/pathology , Lipoproteins, LDL*/metabolism , Numerical Analysis, Computer-Assisted*, Humans ; Stress, Mechanical ; Biological Transport ; Computer Simulation ; Shear Strength ; Models, Cardiovascular ; Male ; Middle Aged
Περίληψη: The frequent detection of wall enhancement by vessel wall imaging in unstable or ruptured intracranial aneurysms (IAs) implies the potential involvement of blood substance transport in the pathogenesis of IAs. In this study, we developed a new method for simulating the transport of low-density lipoprotein (LDL) in IAs. The method was characterized by the coupled solution of LDL transport behaviors in lumen, across endothelium, and within vessel wall, and the incorporation of a sub-model that accounts for the combined effect of wall shear stress (WSS) magnitude and oscillatory shear index (OSI) on endothelial permeability to LDL. Numerical simulations were conducted on the IAs of four patients with clinically confirmed wall enhancement status. Obtained results demonstrated the propensity of IAs for enhanced LDL deposition on the lumen surface and LDL accumulation within the wall compared to normal cerebral arteries. Notably, the spatial distributions of high LDL concentration on the lumen surface and within the vessel wall were not always consistent, indicating regional variations in biomechanical factors facilitating intraluminal retention and transmural transport of LDL. Furthermore, the IAs with wall enhancement exhibited remarkably larger area ratios of wall regions exposed to high LDL concentration than those without wall enhancement. Relatively, the area ratios of low WSS and high OSI were less predictive of aneurysm wall enhancement. These findings underscore the potential value of investigating mass transport over general hemodynamic behaviors in classifying the pathological state or assessing the risk of IAs.
(© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Competing Interests: Declarations. Competing interests: The authors declare no competing interests.
References: Ai L, Vafai K (2006) A coupling model for macromolecule transport in a stenosed arterial wall. Int J Heat Mass Transfer 49(9):1568–1591. (PMID: 10.1016/j.ijheatmasstransfer.2005.10.041)
Alexander MD, De Havenon A, Kim S-E, Parker DL, Mcnally JS (2019) Assessment of quantitative methods for enhancement measurement on vessel wall magnetic resonance imaging evaluation of intracranial atherosclerosis. Neuroradiology 61(6):643–650. https://doi.org/10.1007/s00234-019-02167-3. (PMID: 10.1007/s00234-019-02167-3)
Amenta PS, Yadla S, Campbell PG, Maltenfort MG, Dey S, Ghosh S et al (2012) Analysis of nonmodifiable risk factors for intracranial aneurysm rupture in a large, retrospective cohort. Neurosurgery 70(3):693–701. https://doi.org/10.1227/NEU.0b013e3182354d68. (PMID: 10.1227/NEU.0b013e3182354d68)
Aoki S, Shirouzu I, Sasaki Y, Okubo T, Hayashi N, Machida T et al (1995) Enhancement of the intracranial arterial wall at MR imaging: relationship to cerebral atherosclerosis. Radiology 194(2):477–481. https://doi.org/10.1148/radiology.194.2.7824729. (PMID: 10.1148/radiology.194.2.7824729)
Arzani A, Shadden SC (2018) Wall shear stress fixed points in cardiovascular fluid mechanics. J Biomech 73:145–152. https://doi.org/10.1016/j.jbiomech.2018.03.034. (PMID: 10.1016/j.jbiomech.2018.03.034)
Arzani A, Gambaruto AM, Chen G, Shadden SC (2016) Lagrangian wall shear stress structures and near-wall transport in high-Schmidt-number aneurysmal flows. J Fluid Mech 790:158–172. https://doi.org/10.1017/jfm.2016.6. (PMID: 10.1017/jfm.2016.6)
Arzani A, Gambaruto AM, Chen G, Shadden SC (2017) Wall shear stress exposure time: a Lagrangian measure of near-wall stagnation and concentration in cardiovascular flows. Biomech Model Mechanobiol 16(3):787–803. https://doi.org/10.1007/s10237-016-0853-7. (PMID: 10.1007/s10237-016-0853-7)
Bonert M, Myers JG, Fremes S, Williams J, Ethier CR (2002) A numerical study of blood flow in coronary artery bypass graft side-to-side anastomoses. Ann Biomed Eng 30(5):599–611. https://doi.org/10.1114/1.1481052. (PMID: 10.1114/1.1481052)
Brisman JL, Song JK, Newell DW (2006) Cerebral aneurysms. N Engl J Med 355(9):928–939. (PMID: 10.1056/NEJMra052760)
Cancel LM, Fitting A, Tarbell JM (2007) In vitro study of LDL transport under pressurized (convective) conditions. Am J Physiol-Heart C 293(1):H126–H132. https://doi.org/10.1152/ajpheart.01188.2006. (PMID: 10.1152/ajpheart.01188.2006)
Curry FE 1984 Mechanics and thermodynamics of transcapillary exchange. In: Handbook of Physiology. Bethesda, MD: American Physiological Society.
De Nisco G, Zhang P, Calò K, Liu X, Ponzini R, Bignardi C et al (2018) What is needed to make low-density lipoprotein transport in human aorta computational models suitable to explore links to atherosclerosis? Impact of initial and inflow boundary conditions. J Biomech 68:33–42. https://doi.org/10.1016/j.jbiomech.2017.12.009. (PMID: 10.1016/j.jbiomech.2017.12.009)
Farghadan A, Arzani A (2019) The combined effect of wall shear stress topology and magnitude on cardiovascular mass transport. Int J Heat Mass Transfer 131:252. https://doi.org/10.1016/j.ijheatmasstransfer.2018.11.051. (PMID: 10.1016/j.ijheatmasstransfer.2018.11.051)
Hadad S, Mut F, Chung BJ, Roa JA, Robertson AM, Hasan DM et al (2021) Regional aneurysm wall enhancement is affected by local hemodynamics: a 7T MRI study. Am J Neuroradiol 42(3):464–470. https://doi.org/10.3174/ajnr.a6927. (PMID: 10.3174/ajnr.a6927)
Harteveld AA, Denswil NP, Van Hecke W, Kuijf HJ, Vink A, Spliet WGM et al (2018) Ex vivo vessel wall thickness measurements of the human circle of Willis using 7T MRI. Atherosclerosis 273:106–114. (PMID: 10.1016/j.atherosclerosis.2018.04.023)
Hartman EMJ, De Nisco G, Gijsen FJH, Korteland S-A, Van Der Steen AFW, Daemen J et al (2021) The definition of low wall shear stress and its effect on plaque progression estimation in human coronary arteries. Sci Rep. https://doi.org/10.1038/s41598-021-01232-3. (PMID: 10.1038/s41598-021-01232-3)
Hernández-López P, Cilla M, Martínez M, Peña E (2021) Effects of the haemodynamic stimulus on the location of carotid plaques based on a patient-specific mechanobiological plaque atheroma formation model. Front Bioeng Biotechnol. https://doi.org/10.3389/fbioe.2021.690685. (PMID: 10.3389/fbioe.2021.690685)
Hernández-López P, Cilla M, Martínez MA, Peña E, Malvè M (2024) Impact of geometric and hemodynamic changes on a mechanobiological model of atherosclerosis. Comput Methods Programs Biomed 254:108296. https://doi.org/10.1016/j.cmpb.2024.108296. (PMID: 10.1016/j.cmpb.2024.108296)
Himburg HA, Grzybowski DM, Hazel AL, LaMack JA, Li XM, Friedman MH (2004) Spatial comparison between wall shear stress measures and porcine arterial endothelial permeability. Am J Physiol Heart Circ Physiol 286(5):H1916–H1922. https://doi.org/10.1152/ajpheart.00897.2003. (PMID: 10.1152/ajpheart.00897.2003)
Ivanov D, Dol A, Pavlova O, Aristambekova A (2014) Modeling of human circle of Willis with and without aneurisms. Acta Bioeng Biomech 16(2):1. https://doi.org/10.5277/abb140214. (PMID: 10.5277/abb140214)
Johnston BM, Johnston PR, Corney S, Kilpatrick D (2004) Non-Newtonian blood flow in human right coronary arteries: steady state simulations. J Biomech 37(5):709–720. https://doi.org/10.1016/j.jbiomech.2003.09.016. (PMID: 10.1016/j.jbiomech.2003.09.016)
Kadohama T, Nishimura K, Hoshino Y, Sasajima T, Sumpio BE (2007) Effects of different types of fluid shear stress on endothelial cell proliferation and survival. J Cell Physiol 212(1):244–251. https://doi.org/10.1002/jcp.21024. (PMID: 10.1002/jcp.21024)
Kenjereš S, van der Krieke JP, Li C (2019) Endothelium resolving simulations of wall shear-stress dependent mass transfer of LDL in diseased coronary arteries. Comput Biol Med 114:103453. (PMID: 10.1016/j.compbiomed.2019.103453)
Khan MO, Toro Arana V, Najafi M, MacDonald DE, Natarajan T, Valen-Sendstad K et al (2021a) On the prevalence of flow instabilities from high-fidelity computational fluid dynamics of intracranial bifurcation aneurysms. J Biomech 127:110683. https://doi.org/10.1016/j.jbiomech.2021.110683. (PMID: 10.1016/j.jbiomech.2021.110683)
Khan MO, Toro Arana V, Rubbert C, Cornelius JF, Fischer I, Bostelmann R et al (2021b) Association between aneurysm hemodynamics and wall enhancement on 3D vessel wall MRI. J Neurosurg 134(2):565–575. https://doi.org/10.3171/2019.10.jns191251. (PMID: 10.3171/2019.10.jns191251)
Levesque MJ, Liepsch D, Moravec S, Nerem RM (1986) Correlation of endothelial cell shape and wall shear stress in a stenosed dog aorta. Arteriosclerosis off J Am Heart Assoc Inc 6(2):220–229. https://doi.org/10.1161/01.atv.6.2.220. (PMID: 10.1161/01.atv.6.2.220)
Li X, Liu X, Zhang P, Feng C, Sun A, Kang H et al (2017) Numerical simulation of haemodynamics and low-density lipoprotein transport in the rabbit aorta and their correlation with atherosclerotic plaque thickness. J R Soc Interface 14(129):20170140. https://doi.org/10.1098/rsif.2017.0140. (PMID: 10.1098/rsif.2017.0140)
Liang F, Fukasaku K, Liu H, Takagi S (2011) A computational model study of the influence of the anatomy of the circle of willis on cerebral hyperperfusion following carotid artery surgery. Biomed Eng Online 10(1):84. https://doi.org/10.1186/1475-925x-10-84. (PMID: 10.1186/1475-925x-10-84)
Libby P (2021) The changing landscape of atherosclerosis. Nature 592(7855):524–533. https://doi.org/10.1038/s41586-021-03392-8. (PMID: 10.1038/s41586-021-03392-8)
Luciano RD, da Silva BL, Chen XB, Bergstrom DJ (2024) Turbulent blood flow in a cerebral artery with an aneurysm. J Biomech 172:112214. https://doi.org/10.1016/j.jbiomech.2024.112214. (PMID: 10.1016/j.jbiomech.2024.112214)
Lv N, Tang H, Chen S, Wang X, Fang Y, Karmonik C et al (2018) Morphological parameters related to aneurysm wall enhancement in patients with multiple intracranial aneurysms. World Neurosurg 114:e338–e343. https://doi.org/10.1016/j.wneu.2018.02.182. (PMID: 10.1016/j.wneu.2018.02.182)
Malek AM, Alper SL, Izumo S (1999) Hemodynamic shear stress and its role in atherosclerosis. J Am Med Assoc 282(21):2035–2042. https://doi.org/10.1001/jama.282.21.2035. (PMID: 10.1001/jama.282.21.2035)
Mazzi V, De Nisco G, Calò K, Chiastra C, Daemen J, Steinman DA et al (2022) Divergence of the normalized wall shear stress as an effective computational template of low-density lipoprotein polarization at the arterial blood-vessel wall interface. Comput Methods Programs Biomed 226:107174. (PMID: 10.1016/j.cmpb.2022.107174)
Meyer G, Merval RG, Tedgui A (1996) Effects of pressure-induced stretch and convection on low-density lipoprotein and albumin uptake in the rabbit aortic wall. Circ Res 79(3):532–540. https://doi.org/10.1161/01.res.79.3.532. (PMID: 10.1161/01.res.79.3.532)
Moniripiri M, Hassani Soukht Abandani M, Firoozabadi B (2022) Simulation of LDL permeation into multilayer wall of a coronary bifurcation using WSS-dependent model: effects of hemorheology. Biomech Model Mechanobiol 22(2):711–727. https://doi.org/10.1007/s10237-022-01676-0. (PMID: 10.1007/s10237-022-01676-0)
Morris PB, McLain KH, Malave HA, Underberg JA, Le N-A, Shapiro MD et al (2014) Relationship between plasma apolipoprotein B concentrations and LDL particle number. Res Rep Clin Cardiol 5:237–242. https://doi.org/10.2147/RRCC.S65976. (PMID: 10.2147/RRCC.S65976)
Myers J, Moore J, Ojha M, Johnston K, Ethier C (2001) Factors influencing blood flow patterns in the human right coronary artery. Ann Biomed Eng 29(2):109-20. https://doi.org/10.1114/1.1349703. (PMID: 10.1114/1.1349703)
Nagahata S, Nagahata M, Obara M, Kondo R, Minagawa N, Sato S et al (2016) Wall enhancement of the intracranial aneurysms revealed by magnetic resonance vessel wall imaging using three-dimensional turbo spin-echo sequence with motion-sensitized driven-equilibrium: a sign of ruptured aneurysm? Clin Neuroradiol 26(3):277–283. https://doi.org/10.1007/s00062-014-0353-z. (PMID: 10.1007/s00062-014-0353-z)
Nagargoje MS, Mishra DK, Gupta R (2021) Pulsatile flow dynamics in symmetric and asymmetric bifurcating vessels. Phys Fluids 33(7):071904. https://doi.org/10.1063/5.0056414. (PMID: 10.1063/5.0056414)
Olgac U, Kurtcuoglu V, Poulikakos D (2008) Computational modeling of coupled blood-wall mass transport of LDL: effects of local wall shear stress. Am J Physiol-Heart C 294(2):H909–H919. https://doi.org/10.1152/ajpheart.01082.2007. (PMID: 10.1152/ajpheart.01082.2007)
Olgac U, Poulikakos D, Saur SC, Alkadhi H, Kurtcuoglu V (2009) Patient-specific three-dimensional simulation of LDL accumulation in a human left coronary artery in its healthy and atherosclerotic states. Am J Physiol-Heart C 296(6):H1969–H1982. https://doi.org/10.1152/ajpheart.01182.2008. (PMID: 10.1152/ajpheart.01182.2008)
Ou C, Qian Y, Zhang X, Liu J, Liu W, Su H et al (2020) Elevated lipid infiltration is associated with cerebral aneurysm rupture. Front Neurol 11:154. https://doi.org/10.3389/fneur.2020.00154. (PMID: 10.3389/fneur.2020.00154)
Quan J, Jiao S, Ma Z, Chen H, Qu L, Wu J et al (2025) The role of hemodynamics in the formation of atherosclerotic plaques. Phys Fluids. https://doi.org/10.1063/5.0248637. (PMID: 10.1063/5.0248637)
Rajabzadeh-Oghaz H, Siddiqui AH, Asadollahi A, Kolega J, Tutino VM (2022) The association between hemodynamics and wall characteristics in human intracranial aneurysms: a review. Neurosurg Rev 45(1):49–61. https://doi.org/10.1007/s10143-021-01554-w. (PMID: 10.1007/s10143-021-01554-w)
Roa JA, Zanaty M, Osorno-Cruz C, Ishii D, Bathla G, Ortega-Gutierrez S et al (2020) Objective quantification of contrast enhancement of unruptured intracranial aneurysms: a high-resolution vessel wall imaging validation study. J Neurosurg 134(3):862–869. https://doi.org/10.3171/2019.12.Jns192746. (PMID: 10.3171/2019.12.Jns192746)
Rouleau L, Farcas M, Tardif J-C, Mongrain R, Leask RL (2010) Endothelial cell morphologic response to asymmetric stenosis hemodynamics: effects of spatial wall shear stress gradients. J Biomech Eng. https://doi.org/10.1115/1.4001891. (PMID: 10.1115/1.4001891)
Sáez P, Malvè M, Martínez MA (2015) A theoretical model of the endothelial cell morphology due to different waveforms. J Theor Biol 379:16–23. https://doi.org/10.1016/j.jtbi.2015.04.038. (PMID: 10.1016/j.jtbi.2015.04.038)
Sakamoto N, Ohashi T, Sato M (2004) Effect of shear stress on permeability of vascular endothelial monolayer cocultured with smooth muscle cells. JSME Int J, Ser C 47(4):992–999. https://doi.org/10.1299/jsmec.47.992. (PMID: 10.1299/jsmec.47.992)
Samaniego EA, Roa JA, Hasan D (2019) Vessel wall imaging in intracranial aneurysms. J Neurointerv Surg 11(11):1105–1112. https://doi.org/10.1136/neurintsurg-2019-014938. (PMID: 10.1136/neurintsurg-2019-014938)
Schnell S, Ansari SA, Vakil P, Wasielewski M, Carr ML, Hurley MC et al (2014) Three-dimensional hemodynamics in intracranial aneurysms: influence of size and morphology. J Magn Reson Imaging 39(1):120–131. https://doi.org/10.1002/jmri.24110. (PMID: 10.1002/jmri.24110)
Starke RM, Chalouhi N, Ali MS, Jabbour PM, Tjoumakaris SI, Gonzalez LF et al (2013) The role of oxidative stress in cerebral aneurysm formation and rupture. Curr Neurovasc Res 10(3):247–255. https://doi.org/10.2174/15672026113109990003. (PMID: 10.2174/15672026113109990003)
Stergiopulos N, Young D, Rogge T (1992) Computer simulation of arterial flow with applications to arterial and aortic stenoses. J Biomech 25(12):1477–1488. (PMID: 10.1016/0021-9290(92)90060-E)
Tada S (2010) Numerical study of oxygen transport in a carotid bifurcation. Phys Med Biol 55(14):3993. https://doi.org/10.1088/0031-9155/55/14/004. (PMID: 10.1088/0031-9155/55/14/004)
Tarbell JM (2003) Mass transport in arteries and the localization of atherosclerosis. Annu Rev Biomed Eng 5:79–118. https://doi.org/10.1146/annurev.bioeng.5.040202.121529. (PMID: 10.1146/annurev.bioeng.5.040202.121529)
Texakalidis P, Hilditch CA, Lehman V, Lanzino G, Pereira VM, Brinjikji W (2018) Vessel wall imaging of intracranial aneurysms: systematic review and meta-analysis. World Neurosurg 117:453–8.e1. https://doi.org/10.1016/j.wneu.2018.06.008. (PMID: 10.1016/j.wneu.2018.06.008)
Tian Y, Li X, Zhao B, Zhang J, Liang F (2023) Influence of morphological characteristics on the deposition of low-density lipoprotein in intracranial bifurcation aneurysms. Phys Fluids 35(8):081905. https://doi.org/10.1063/5.0159985. (PMID: 10.1063/5.0159985)
Tian Y, Li X, Zhang J, Zhao B, Liang F (2024) Identifying hemodynamic factors associated with the rupture of anterior communicating artery aneurysms based on global modeling of blood flow in the cerebral artery network. Front Bioeng Biotechnol 12:1419519. https://doi.org/10.3389/fbioe.2024.1419519. (PMID: 10.3389/fbioe.2024.1419519)
Van Gijn J, Kerr RS, Rinkel GJ (2007) Subarachnoid haemorrhage. Lancet 369(9558):306–318. https://doi.org/10.1016/s0140-6736(07)60153-6. (PMID: 10.1016/s0140-6736(07)60153-6)
Vaverkova H, Karasek D, Novotny D, Jackuliakova D, Lukes J, Halenka M et al (2009) Apolipoprotein B versus LDL-cholesterol: association with other risk factors for atherosclerosis. Clin Biochem 42(12):1246–1251. https://doi.org/10.1016/j.clinbiochem.2009.05.004. (PMID: 10.1016/j.clinbiochem.2009.05.004)
Veeturi SS, Rajabzadeh-Oghaz H, Pintér NK, Waqas M, Hasan DM, Snyder KV et al (2021) Aneurysm risk metrics and hemodynamics are associated with greater vessel wall enhancement in intracranial aneurysms. R Soc Open Sci. https://doi.org/10.1098/rsos.211119. (PMID: 10.1098/rsos.211119)
Wada S, Karino T (2002) Theoretical prediction of low-density lipoproteins concentration at the luminal surface of an artery with a multiple bend. Ann Biomed Eng 30(6):778–791. https://doi.org/10.1114/1.1495868. (PMID: 10.1114/1.1495868)
Wang X, Zhu C, Leng Y, Degnan AJ, Lu J (2019) Intracranial aneurysm wall enhancement associated with aneurysm rupture: a systematic review and meta-analysis. Acad Radiol 26(5):664–673. (PMID: 10.1016/j.acra.2018.05.005)
Xia Y, Wang C, Wang Y, Liang F (2025) A computational model-based study on trans-stenotic pressure ratio of carotid artery stenosis and its predictive value for cerebral ischemia. Int J Numer Methods Biomed Eng. https://doi.org/10.1002/cnm.70044. (PMID: 10.1002/cnm.70044)
Xiang J, Yu J, Snyder KV, Levy EI, Siddiqui AH, Meng H (2016) Hemodynamic–morphological discriminant models for intracranial aneurysm rupture remain stable with increasing sample size. J Neurointerv Surg 8(1):104–110. (PMID: 10.1136/neurintsurg-2014-011477)
Xin S, Chen Y, Zhao B, Liang F (2022) Combination of morphological and hemodynamic parameters for assessing the rupture risk of intracranial aneurysms: a retrospective study on mirror middle cerebral artery aneurysms. J Biomech Eng 144(8):081006. https://doi.org/10.1115/1.4053793. (PMID: 10.1115/1.4053793)
Yuan F, Chien S, Weinbaum S (1991) A new view of convective-diffusive transport processes in the arterial intima. J Biomech Eng 113(3):314–329. https://doi.org/10.1115/1.2894890. (PMID: 10.1115/1.2894890)
Zhang M, Peng F, Tong X, Feng X, Li Y, Chen H et al (2021) Associations between haemodynamics and wall enhancement of intracranial aneurysm. Stroke Vasc Neurol 6(3):467–475. https://doi.org/10.1136/svn-2020-000636. (PMID: 10.1136/svn-2020-000636)
Zhang X, Jiang Y, Liang F, Lu J (2023) Threshold values of brachial cuff-measured arterial stiffness indices determined by comparisons with the brachial–ankle pulse wave velocity: a cross-sectional study in the Chinese population. Front Cardiovasc Med. https://doi.org/10.3389/fcvm.2023.1131962. (PMID: 10.3389/fcvm.2023.1131962)
Zhou G, Su M, Yin Y-L, Li M-H (2017) Complications associated with the use of flow-diverting devices for cerebral aneurysms: a systematic review and meta-analysis. Neurosurg Focus 42(6):E17. https://doi.org/10.3171/2017.3.focus16450. (PMID: 10.3171/2017.3.focus16450)
Grant Information: 10.13039/501100001809 National Natural Science Foundation of China
Contributed Indexing: Keywords: Aneurysm wall enhancement; Intracranial aneurysms; Low-density lipoprotein; Transmural transport
Substance Nomenclature: 0 (Lipoproteins, LDL)
Entry Date(s): Date Created: 20250827 Date Completed: 20251115 Latest Revision: 20251115
Update Code: 20260130
DOI: 10.1007/s10237-025-02004-y
PMID: 40864377
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1617-7940
DOI:10.1007/s10237-025-02004-y