In Vivo Material Properties of Human Common Carotid Arteries: Trends and Sex Differences.
Constitutive modelling
Human common carotid artery
In vivo parameter estimation
Material properties
Journal
Cardiovascular engineering and technology
ISSN: 1869-4098
Titre abrégé: Cardiovasc Eng Technol
Pays: United States
ID NLM: 101531846
Informations de publication
Date de publication:
12 2023
12 2023
Historique:
received:
10
03
2020
accepted:
18
10
2023
medline:
22
12
2023
pubmed:
17
11
2023
entrez:
16
11
2023
Statut:
ppublish
Résumé
In vivo estimation of material properties of arterial tissue can provide essential insights into the development and progression of cardiovascular diseases. Furthermore, these properties can be used as an input to finite element simulations of potential medical treatments. This study uses non-invasively measured pressure, diameter and wall thickness of human common carotid arteries (CCAs) acquired in 103 healthy subjects. A non-linear optimization was performed to estimate material parameters of two different constitutive models: a phenomenological, isotropic model and a structural, anisotropic model. The effect of age, sex, body mass index and blood pressure on the parameters was investigated. Although both material models were able to model in vivo arterial behaviour, the structural model provided more realistic results in the supra-physiological domain. The phenomenological model predicted very high deformations for pressures above the systolic level. However, the phenomenological model has fewer parameters that were shown to be more robust. This is an advantage when only the physiological domain is of interest. The effect of stiffening with age, BMI and blood pressure was present for women, but not always for men. In general, sex had the biggest effect on the mechanical properties of CCAs. Stiffening trends with age, BMI and blood pressure were present but not very strong. The intersubject variability was high. Therefore, it can be concluded that finding a representative set of parameters for a certain age or BMI group would be very challenging. Instead, for purposes of patient-specific modelling of surgical procedures, we currently advise the use of patient-specific parameters.
Identifiants
pubmed: 37973700
doi: 10.1007/s13239-023-00691-1
pii: 10.1007/s13239-023-00691-1
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
840-852Subventions
Organisme : Fonds Wetenschappelijk Onderzoek
ID : G093211N
Organisme : Hrvatska Zaklada za Znanost
ID : IP-2018-01-3796
Informations de copyright
© 2023. The Author(s) under exclusive licence to Biomedical Engineering Society.
Références
Mozaffarian, D., E. J. Benjamin, A. S. Go, D. K. Arnett, M. J. Blaha, M. Cushman, S. de Ferranti, J.-P. Després, H. J. Fullerton, V. J. Howard, M. D. Huffman, S. E. Judd, B. M. Kissela, D. T. Lackland, J. H. Lichtman, L. D. Lisabeth, S. Liu, R. H. Mackey, D. B. Matchar, D. K. McGuire, E. R. Mohler, C. S. Moy, P. Muntner, M. E. Mussolino, K. Nasir, R. W. Neumar, G. Nichol, L. Palaniappan, D. K. Pandey, M. J. Reeves, C. J. Rodriguez, P. D. Sorlie, J. Stein, A. Towfighi, T. N. Turan, S. S. Virani, J. Z. Willey, D. Woo, R. W. Yeh, and M. B. Turner. Heart disease and stroke statistics—2015 update. Circulation. 131(4):e29–e322, 2015. https://doi.org/10.1161/CIR.0000000000000152 .
doi: 10.1161/CIR.0000000000000152
pubmed: 25520374
Badel, P., S. Avril, M. A. Sutton, and S. M. Lessner. Numerical simulation of arterial dissection during balloon angioplasty of atherosclerotic coronary arteries. J. Biomech. 47(4):878–889, sI: Plaque Mechanics, 2014. https://doi.org/10.1016/j.jbiomech.2014.01.009 .
doi: 10.1016/j.jbiomech.2014.01.009
pubmed: 24480707
pmcid: 3947651
Bock, S. D., F. Iannaccone, G. D. Santis, M. D. Beule, D. V. Loo, D. Devos, F. Vermassen, P. Segers, and B. Verhegghe. Virtual evaluation of stent graft deployment: a validated modeling and simulation study. J. Mech. Behav. Biomed. Mater. 13:129–139, 2012. https://doi.org/10.1016/j.jmbbm.2012.04.021 .
doi: 10.1016/j.jmbbm.2012.04.021
pubmed: 22842656
Holzapfel, G. A., T. C. Gasser, and R. W. Ogden. A new constitutive framework for arterial wall mechanics and a comparative study of material models. J. Elast. Phys. Sci. Solids. 61:1–48, 2000. https://doi.org/10.1023/A:1010835316564 .
doi: 10.1023/A:1010835316564
Zulliger, M. A., P. Fridez, K. Hayashi, and N. Stergiopulos. A strain energy function for arteries accounting for wall composition and structure. J. Biomech. 37:989–1000, 2004. https://doi.org/10.1016/j.jbiomech.2003.11.026 .
doi: 10.1016/j.jbiomech.2003.11.026
pubmed: 15165869
Gasser, T. C., R. W. Ogden, and G. A. Holzapfel. Hyperelastic modelling of arterial layers with distributed collagen fibre orientations. J. R. Soc. Interface. 3(6):15–35, 2006. https://doi.org/10.1098/rsif.2005.0073 .
doi: 10.1098/rsif.2005.0073
pubmed: 16849214
Segers, P., E. Rietzschel, S. Heireman, M. D. Buyzere, T. Gillebert, P. Verdonck, and L. V. Bortel. Carotid tonometry versus synthesized aorta pressure waves for the estimation of central systolic blood pressure and augmentation index. Am. J. Hypertens. 18(9):1168–1173, 2005. https://doi.org/10.1016/j.amjhyper.2005.04.005 .
doi: 10.1016/j.amjhyper.2005.04.005
pubmed: 16245411
Ferrari, G., M. Kozarski, K. Zieliński, L. Fresiello, A. Di Molfetta, K. Górczyńska, K. J. Pałko, and M. Darowski. A modular computational circulatory model applicable to VAD testing and training. J. Artif. Organs. 15(1):32–43, 2012. https://doi.org/10.1007/s10047-011-0606-4 .
doi: 10.1007/s10047-011-0606-4
pubmed: 21932097
Fresiello, L., K. Zieliński, S. Jacobs, A. Di Molfetta, K. J. Pałko, F. Bernini, M. Martin, P. Claus, G. Ferrari, M. G. Trivella, K. Górczyńska, M. Darowski, B. Meyns, and M. Kozarski. Reproduction of continuous flow left ventricular assist device experimental data by means of a hybrid cardiovascular model with baroreflex control. Artif. Organs. 38(6):456–468, 2014. https://doi.org/10.1111/aor.12178 .
doi: 10.1111/aor.12178
pubmed: 24117988
Cardamone, L., A. Valentín, J. F. Eberth, and J. D. Humphrey. Origin of axial prestretch and residual stress in arteries. Biomech. Model. Mechanobiol. 8(6):431–446, 2009. https://doi.org/10.1007/s10237-008-0146-x .
doi: 10.1007/s10237-008-0146-x
pubmed: 19123012
pmcid: 2891240
Horny, L., T. Adamek, and M. Kulvajtova. Analysis of axial prestretch in the abdominal aorta with reference to post mortem interval and degree of atherosclerosis. J. Mech. Behav. Biomed. Mater. 33:93–98, 2014. https://doi.org/10.1016/j.jmbbm.2013.01.033 .
doi: 10.1016/j.jmbbm.2013.01.033
pubmed: 23676503
Chuong, C. J., and Y. C. Fung. Residual stress in arteries. In: Frontiers in biomechanics, part II, edited by G. W. Schmid-Schönbein, S.L.-Y. Woo, and B. W. Zweifach. New York: Springer, 1986, pp. 117–129.
doi: 10.1007/978-1-4612-4866-8_9
Schulze-Bauer, C. A. J., and G. A. Holzapfel. Determination of constitutive equations for human arteries from clinical data. J. Biomech. 36(2):165–169, 2003.
doi: 10.1016/S0021-9290(02)00367-6
pubmed: 12547353
Stålhand, J., and A. Klarbring. Aorta in vivo parameter identification using an axial force constraint. Biomech. Model. Mechanobiol. 3(4):191–199, 2005. https://doi.org/10.1007/s10237-004-0057-4 .
doi: 10.1007/s10237-004-0057-4
pubmed: 15776254
Stålhand, J. Determination of human arterial wall parameters from clinical data. Biomech. Model. Mechanobiol. 8(2):141–148, 2009. https://doi.org/10.1007/s10237-008-0124-3 .
doi: 10.1007/s10237-008-0124-3
pubmed: 18347824
Masson, I., P. Boutouyrie, S. Laurent, J. D. Humphrey, and M. Zidi. Characterization of arterial wall mechanical behavior and stresses from human clinical data. J. Biomech. 41(12):2618–2627, 2008. https://doi.org/10.1016/j.jbiomech.2008.06.022 .
doi: 10.1016/j.jbiomech.2008.06.022
pubmed: 18684458
pmcid: 2761214
Wittek, A., K. Karatolios, P. Bihari, T. Schmitz-Rixen, R. Moosdorf, S. Vogt, and C. Blase. In vivo determination of elastic properties of the human aorta based on 4D ultrasound data. J. Mech. Behav. Biomed. Mater. 27:167–183, 2013. https://doi.org/10.1016/j.jmbbm.2013.03.014 .
doi: 10.1016/j.jmbbm.2013.03.014
pubmed: 23668998
Smoljkić, M., J. Vander Sloten, P. Segers, and N. Famaey. Non-invasive, energy-based assessment of patient-specific material properties of arterial tissue. Biomech. Model. Mechanobiol. 14(5):1045–1056, 2015. https://doi.org/10.1007/s10237-015-0653-5 .
doi: 10.1007/s10237-015-0653-5
pubmed: 25634601
Åstrand, H., J. Stålhand, J. Karlsson, M. Karlsson, B. Sonesson, and T. Länne. In vivo estimation of the contribution of elastin and collagen to the mechanical properties in the human abdominal aorta: effect of age and sex. J. Appl. Physiol. 110(1):176–187, 2011. https://doi.org/10.1152/japplphysiol.00579.2010 .
doi: 10.1152/japplphysiol.00579.2010
pubmed: 21071586
Masson, I., H. Beaussier, P. Boutouyrie, S. Laurent, J. D. Humphrey, and M. Zidi. Carotid artery mechanical properties and stresses quantified using in vivo data from normotensive and hypertensive humans. Biomech. Model. Mechanobiol. 10(6):867–882, 2011. https://doi.org/10.1007/s10237-010-0279-6 .
doi: 10.1007/s10237-010-0279-6
pubmed: 21207095
Minliang, L., L. Liang, and W. Sun. A new inverse method for estimation of in vivo mechanical properties of the aortic wall. J. Mech. Behav. Biomed. Mater. 72:148–158, 2017.
doi: 10.1016/j.jmbbm.2017.05.001
Rietzschel, E.-R., M. L. De Buyzere, S. Bekaert, P. Segers, D. De Bacquer, L. Cooman, P. Van Damme, P. Cassiman, M. Langlois, P. van Oostveldt, P. Verdonck, G. De Backer, T. C. Gillebert, and Asklepios Investigators. Rationale, design, methods and baseline characteristics of the Asklepios study. Eur. J. Cardiovasc. Prev. Rehabil. 14(2):179–191, 2007.
Segers, P., S. Rabben, J. De Backer, J. De Sutter, T. Gillebert, L. Van Bortel, and P. Verdonck. Functional analysis of the common carotid artery: relative distension differences over the vessel wall measured in vivo. J. Hypertens. 22(5):973–981, 2004.
doi: 10.1097/00004872-200405000-00020
pubmed: 15097238
Rabben, S., S. Baerum, V. Sørhus, and H. Torp. Ultrasound-based vessel wall tracking: an auto-correlation technique with RF center frequency estimation. Ultrasound Med. Biol. 28(4):507–517, 2002.
doi: 10.1016/S0301-5629(02)00487-8
pubmed: 12049964
Vermeersch, S., E. Rietzschel, M. De Buyzere, L. Van Bortel, Y. D’Asseler, T. Gillebert, P. Verdonck, and P. Segers. Validation of a new automated IMT measurement algorithm. J. Hum. Hypertens. 21:976–978, 2007.
doi: 10.1038/sj.jhh.1002251
pubmed: 17568751
Weisbecker, H., D. M. Pierce, P. Regitnig, and G. A. Holzapfel. Layer-specific damage experiments and modeling of human thoracic and abdominal aortas with non-atherosclerotic intimal thickening. J. Mech. Behav. Biomed. Mater. 12:93–106, 2012. https://doi.org/10.1016/j.jmbbm.2012.03.012 .
doi: 10.1016/j.jmbbm.2012.03.012
pubmed: 22659370
Holzapfel, G. A., and R. W. Ogden. Constitutive modelling of arteries. Proc. R. Soc. Lond. A Math. Phys. Eng. Sci. 466(2118):1551–1597, 2010. https://doi.org/10.1098/rspa.2010.0058 .
doi: 10.1098/rspa.2010.0058
Smoljkić, M., H. Fehervary, P. Van den Bergh, A. Jorge-Peñas, L. Kluyskens, S. Dymarkowski, P. Verbrugghe, B. Meuris, J. Vander Sloten, and N. Famaey. Biomechanical characterization of ascending aortic aneurysms. Biomech. Model. Mechanobiol. 16(2):705–720, 2017.
doi: 10.1007/s10237-016-0848-4
pubmed: 27838784
Smoljkić, M., P. Verbrugghe, M. Larsson, E. Widman, H. Fehervary, J. D’hooge, J. Vander Sloten, and N. Famaey. Comparison of in vivo vs. ex situ obtained material properties of sheep common carotid artery. Med. Eng. Phys. 55:16–24, 2018.
doi: 10.1016/j.medengphy.2018.03.006
pubmed: 29580793
Humphrey, J., J. Eberth, W. Dye, and R. Gleason. Fundamental role of axial stress in compensatory adaptations by arteries. J. Biomech. 42:1–8, 2009.
doi: 10.1016/j.jbiomech.2008.11.011
pubmed: 19070860
Roach, M., and A. Burton. The reason for the shape of the distensibility curves of arteries. Can. J. Biochem. Physiol. 35(8):681–690, 1957.
doi: 10.1139/o57-080
pubmed: 13460788
Wolinsky, H., and S. Glagov. Structural basis for the static mechanical properties of the aortic media. Circ. Res. 14:400–413, 1964.
doi: 10.1161/01.RES.14.5.400
pubmed: 14156860
Horný, L., T. Adámek, and M. Kulvajtová. A comparison of age-related changes in axial prestretch in human carotid arteries and in human abdominal aorta. Biomech. Model. Mechanobiol. 2016. https://doi.org/10.1007/s10237-016-0797-y .
doi: 10.1007/s10237-016-0797-y
pubmed: 27189696
Becker, W., J. Oakley, C. Surace, P. Gili, J. Rowson, and K. Worden. Bayesian sensitivity analysis of a nonlinear finite element model. Mech. Syst. Signal Process. 32:18–31, 2012.
doi: 10.1016/j.ymssp.2012.03.009
Kawasaki, T., S. Sasayama, S.-I. Yagi, T. Asakawa, and T. Hirai. Non-invasive assessment of the age related changes in stiffness of major branches of the human arteries. Cardiovasc. Res. 21(9):678–687, 1987. https://doi.org/10.1093/cvr/21.9.678 .
doi: 10.1093/cvr/21.9.678
pubmed: 3328650
Mitchell, G. F., H. Parise, E. J. Benjamin, M. G. Larson, M. J. Keyes, J. A. Vita, R. S. Vasan, and D. Levy. Changes in arterial stiffness and wave reflection with advancing age in healthy men and women. Hypertension. 43(6):1239–1245, 2004. https://doi.org/10.1161/01.HYP.0000128420.01881.aa .
doi: 10.1161/01.HYP.0000128420.01881.aa
pubmed: 15123572
Vermeersch, S. J., E. R. Rietzschel, M. L. De Buyzere, D. De Bacquer, G. De Backer, L. M. Van Bortel, T. C. Gillebert, P. R. Verdonck, and P. Segers. Age and gender related patterns in carotid-femoral PWV and carotid and femoral stiffness in a large healthy, middle-aged population. J. Hypertens. 26:1411–1419, 2008. https://doi.org/10.1097/HJH.0b013e3282ffac00 .
doi: 10.1097/HJH.0b013e3282ffac00
pubmed: 18551018
Toto-Moukouo, J., A. Achimastos, R. Asmar, C. Hugues, and M. Safar. Pulse wave velocity in patients with obesity and hypertension. Am. Heart J. 112(1):136–140, 1986. https://doi.org/10.1016/0002-8703(86)90691-5 .
doi: 10.1016/0002-8703(86)90691-5
pubmed: 3728268
Wildman, R. P., R. H. Mackey, A. Bostom, T. Thompson, and K. Sutton-Tyrrell. Measures of obesity are associated with vascular stiffness in young and older adults. Hypertension. 42(4):468–473, 2003. https://doi.org/10.1161/01.HYP.0000090360.78539.CD .
doi: 10.1161/01.HYP.0000090360.78539.CD
pubmed: 12953016
Zebekakis, P. E., T. Nawrot, L. Thijs, E. J. Balkestein, J. van der Heijden-Spek, L. M. Van Bortel, H. A. Struijker-boudier, M. E. Safar, and J. A. Staessen. Obesity is associated with increased arterial stiffness from adolescence until old age. J. Hypertens. 23:1839–1846, 2005.
doi: 10.1097/01.hjh.0000179511.93889.e9
pubmed: 16148607
Hollander, M., A. Hak, P. Koudstaal, M. Bots, D. Grobbee, A. Hofman, J. Witteman, and M. Breteler. Comparison between measures of atherosclerosis and risk of stroke. Stroke. 34(10):2367–2372, 2003. https://doi.org/10.1161/01.STR.0000091393.32060.0E .
doi: 10.1161/01.STR.0000091393.32060.0E
pubmed: 12958327
El Khoudary, S., R. Wildman, K. Matthews, R. Thurston, J. Bromberger, and K. Sutton-Tyrrell. Progression rates of carotid intima-media thickness and adventitial diameter during the menopausal transition. Menopause. 20:8–14, 2013. https://doi.org/10.1097/gme.0b013e3182611787 .
doi: 10.1097/gme.0b013e3182611787
pubmed: 22990755
pmcid: 3528819