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Biomechanics of abdominal aortic
aneurysm:Experimental evidence and multiscale constitutive modeling
Giampaolo Martufi
Doctoral thesis no. 80, 2012 KTH School of Engineering Sciences
Department of Solid Mechanics Royal Institute of Technology SE-100 44 Stockholm Sweden
TRITA HFL-0530 ISSN 1654-1472 ISRN KTH/HFL/R-12/0014-SE
Akademisk avhandling som med tillstånd av Kungliga Tekniska Högskolan i Stockholm framlägges till offentlig granskning för avläggande av teknisk doktorsexamen torsdagen den 20 september kl. 10.00 i sal L1, Kungliga Tekniska Högskolan, Drottning Kristinasvägen 30, Stockholm.
Abstract The reliable assessment of Abdominal Aortic Aneurysm (AAA) rupture risk is
critically important in reducing related mortality without unnecessarily increasing
the rate of elective repair. A multi-disciplinary approach including vascular
biomechanics and constitutive modeling is needed to better understand and more
effectively treat these diseases. AAAs are formed through irreversible
pathological remodeling of the vascular wall and integrating this biological
process in the constitutive description could improve the current understanding of
this disease as well as the predictability of biomechanical simulations.
First in this thesis, multiple centerline-based diameter measurements between
renal arteries and aortic bifurcation have been used to monitor aneurysm growth
of in total 51 patients from Computer Tomography-Angiography (CT-A) data.
Secondly, the thesis proposes a novel multi-scale constitutive model for the
vascular wall, where collagen fibers are assembled by proteoglycan cross-linked
collagen fibrils and reinforce an otherwise isotropic matrix (elastin). Collagen
fibrils are dynamically formed by a continuous stretch-mediated process,
deposited in the current configuration and removed by a constant degradation rate.
The micro-plane concept is then used for the Finite Element (FE) implementation
of the constitutive model. Finally, histological slices from intra-luminal thrombus
(ILT) tissue were analyzed using a sequence of automatic image processing steps.
Derived microstructural data were used to define Representative Volume
Elements (RVEs), which in turn allowed the estimation of microscopic material
properties using the non-linear FE.
The thesis showed that localized spots of fast diameter growth can be detected
through multiple centerline-based diameter measurements all over the AAA sac.
Consequently, this information might further reinforce the quality of aneurysm
surveillance programs. The novel constitutive model proposed in the thesis has a
strong biological motivation and provides an interface with biochemistry. Apart
from modeling the tissue’s passive response, the presented model is helpful to
predict saline feature of aneurysm growth and remodeling. Finally, the thesis
provided novel microstructural and micromechanical data of ILT tissue, which is
critically important to further explore the role of the ILT in aneurysm rupture.
Preface
The research presented in this doctoral thesis has been carried out at the
Department of Solid Mechanics, Royal Institute of Technology (KTH),
Stockholm between July 2008 and July 2012. The work was financially supported
by the Young Faculty Grant No. 2006-7568 provided by the Swedish Research
Council, VINNOVA and the Swedish Foundation for Strategic Research, and the
EC Seventh Framework Programme, fighting Aneurysmal Disease (FAD-
200647), which is sincerely acknowledged.
First of all I would like to express my sincere gratitude to my supervisor T.
Christian Gasser for giving me the opportunity to work with a very interesting and
challenging topic. I am thankful for his support, for the fruitful discussions and
excellent guidance through these four years at KTH. Further I would like to thank
Ender Finol for introducing me to the field of biomechanics and Elena Di Martino
for her valuable advices and knowledge in AAA biomechanics.
I would also like to thank my colleagues and friends at KTH Solid Mechanics for
making the working environment enjoyable.
Finally, I would like to extend my gratitude to my dad, my sister and my brother
in law for all the encouragement and support I received.
Stockholm, August 2012 Giampaolo Martufi
List of appended papers
Paper A: Growth of small abdominal aortic aneurysms: A multidimensional analysis
G. Martufi, M. Auer, J. Roy, J.Swedenborg, N. Sakalihasan, G. Panuccio and T.C. Gasser Report 529, Department of Solid Mechanics, KTH Engineering Sciences, Royal Institute of Technology, Stockholm, Sweden. Submitted to international journal for publication.
Paper B: A constitutive model for vascular tissue that integrates fibril, fiber and continuum levels with application to the isotropic and passive properties of the infrarenal aorta
G. Martufi and T.C. Gasser Journal of Biomechanics, 44(14):2544-2550, 2011.
Paper C: Turnover of fibrillar collagen in soft biological tissue with application to the expansion of abdominal aortic aneurysms
G. Martufi and T.C. Gasser Journal of the Royal Society Interface, published online, doi:10.1098/rsif.2012.0416, 2012.
Paper D: Micromechanical characterization of intra-luminal thrombus tissue from abdominal aortic aneurysms
T.C. Gasser, G. Martufi, M. Auer, M. Folkesson and J.Swedenborg Annals of Biomedical Engineering, 38(2):371-379, 2010.
In addition to the appended paper, the work has resulted in the following publications in conference proceedings fully reviewed prior to publication: Remodeling of fibrillar collagen applied to aneurysm growth G. Martufi and T.C. Gasser Proceedings of the Word Congress on Computational Mechanics, Sao Paulo, Brazil, July 8 – 13, 2012. Histo-mechanical modeling of the wall of abdominal aorta aneurysms G. Martufi and T.C. Gasser Proceedings of MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 15-17, 2012. (6 pages paper) Remodeling of abdominal aortic aneurysm wall: A multi-scale structural approach G. Martufi and T.C. Gasser Proceedings of the 4th International Conference on the Mechanics of Biomaterials and Tissues, Hawaii, USA, December 11-15, 2011. A multi-scale collagen turn-over model for soft biological tissues with application to abdominal aortic aneurysms growth G. Martufi, T.C. Gasser and M. Auer Proceedings of ASME 2011 Summer Bioengineering Conference, Farmington, Pennsylvania, USA , June 22 - 25, 2011. Progression of abdominal aortic Aneurysm: Clinical evidence and multiscale modeling G. Martufi, T.C. Gasser, M. Labruto and J. Swedenborg Proceedings of the 6th International Symposium on Biomechanics in Vascular Biology and Cardiovascular Disease, Rotterdam, The Netherlands, April 14 – 15, 2011. A constitutive model for vascular tissue that integrates fibril, fiber and continuum levels T.C. Gasser, G. Martufi and M. Auer Proceedings of 2nd International Conference on Computational & Mathematical Biomedical Engineering, George Mason University, Washington D.C., USA March 30 - April 1, 2011. Abdominal aortic aneurysm development over time: Experimental evidence and constitutive modeling G. Martufi, T.C. Gasser, M. Auer, M. Labruto and J. Swedenborg Proceedings of the 6th World Congress on Biomechanics, Singapore, August 1 – 6, 2010.
A growth model for abdominal aortic aneurysms based on continuous collagen turn-over G. Martufi,T.C. Gasser and M. Auer Proceedings of the IV European Conference on Computational Mechanics, Paris, France, May 16 – 21, 2010. Micro-structural and micro-mechanical characterization of thrombus tissue from abdominal aortic aneurysms G. Martufi, T.C. Gasser, M. Folkesson and J. Swedenborg Proceedings of the 10th US National Congress on Computational Mechanics, Columbus, Ohio, US, July 16-19, 2009. Micro-structural and micro-mechanical analysis of thrombus tissue from abdominal aortic aneurysms G. Martufi, T.C. Gasser, M. Folkesson and J. Swedenborg Endovascular Surgery - Bringing Basic Science into Clinical Practice, March 19-21, Stockholm, Sweden, 2009.
Contents
1. INTRODUCTION 11 1.1. Background 11
13 1.2. Pathophysiology of AAA 1.3. Rupture criteria in a clinical setting 14 1.4. Biomechanical rupture risk assessment 15
16 1.5. AAA biomechanics 1.5.1. AAA wall histology 16 1.5.2. AAA wall mechanics 17 1.5.3. AAA wall expansion 18 1.5.4. AAA thrombus mechanics 20
2. METHODS 23 2.1. Experimental evidence of AAA growth 23 2.2. Multiscale constitutive modeling 23 2.3. Micromechanical characterization of ILT 24
3. RESULTS 25 3.1. Clinical study 25 3.2. Numerical predictions of the passive and active responses of the AAA
wall 26 3.3. Microstructural and micromechanical characterization of ILT 28
4. DISCUSSION 31
9
33 35
5. CONCLUSIONS 6. REFERENCES
Paper A
Paper B
Paper C
Paper D
11
1. INTRODUCTION 1.1. Background
An aneurysm is defined as a local, permanent dilatation of an artery at least 1.5
times its normal diameter (Figure 1). Any artery can become aneurysmal yet the
infrarenal segment of the abdominal aorta is the most common site for
development of Abdominal Aortic Aneurysms (AAAs).
The prevalence of AAA is growing along with population age and according to
different studies AAA rupture is the 13th most common cause of death in the
United States81 causing an estimated 15.000 deaths per year. The incidence of
AAA is 2-4 per cent in the adult population, and it is growing with increase in the
average population age. Other risk factors include hypertension, atherosclerosis,
smoking and a positive family history. Although the etiology of AAA is still not
known, it is believed to be multi-factorial and mainly degenerative disease, arising
through a complex interaction among different biological factors.
If left untreated, all AAAs progress toward further enlargement and eventually
will rupture. There are no available indicators of how close the point of rupture is
and for selected patients rupture may not occur during their lifetime.
AAA rupture is a biomechanical phenomenon that occurs when the mechanical
stress acting on the aneurysm inner wall due to intraluminal pressure, exceeds the
failure strength of the degenerated aortic tissue121. The rupture of an AAA often
leads to severe disability and carries a mortality rate of up to 90 per cent111.
Aneurysms are seldom detected at early stages and for the most part they remain
latent until symptoms occur as their size increases, or they are found in incidental
exams. Once detected, one of the most challenging issues in clinical management
Biomechanics of Abdominal Aortic Aneurysm
of known aneurysm patients is the evaluation of the patient-specific risk of rupture
at any given time.
Due to the lack of knowledge of the role played by the different factors in the
enlargement process, there is currently no accurate technique to predict the
AAA’s expansion rate, or to determine its critical size at the point of rupture.
Figure 1. Normal aorta (A), thoracic aortic aneurysm (B) and abdominal aortic aneurysm (C). Aortic aneurysm. [image online] Available at: <http://vascular.surgery.ucsf.edu/conditions--procedures/abdominal-aortic-aneurysm.aspx > [Accessed 17 August 2012].
Based on the classic law of Laplace, the maximum transverse diameter of an
aneurysm is commonly used as main determinant in predicting its rupture risk, but
autopsy studies have demonstrated that small AAAs can rupture15,37 while some
12
13
of those considered large aneurysms remain quiescent for years15. In addition to
the diameter criterion, a high expansion rate is usually associated with an elevated
rupture risk. In particular, a maximum transverse diameter of 55 mm and an
expansion rate of 1 cm yr-1 are the most commonly used thresholds for elective
repair.
Traditional repair is via an open surgical treatment, which is associated with high
morbidity and a mortality rate ranging between 2 per cent and 4 per cent68,78. As
an alternative to surgical resection, the use of endovascular aneurysm repair
(EVAR) allows surgeons to repair aneurysms by delivering a bypass graft through
a small incision in the femoral artery.
1.2. Pathophysiology of AAA
AAAs are the end result of irreversible pathological remodeling of the
extracellular matrix (ECM)20. ECMs provide an essential mechanical environment
to which vascular tissue is continuously exposed, and mainly contain elastin,
collagen, and proteoglycans (PGs)13. While elastin is a stable protein having half-
life times of tens of years1, collagen is normally in a continual state of deposition
and degradation57. Specifically, vascular collagen has a normal half-life time of
60-70 days80, which decreases by up to 10-fold in case of disease and injury5.
The most prevalent features of later stage AAA wall are: degradation of the
protein elastin, compensatory increased collagen turnover and content, excessive
inflammatory infiltration and apoptosis of vascular smooth muscle cells. It is
generally accepted that loss of elastic fiber is thought to initiate arterial dilatation,
increase in collagen synthesis promotes enlargement, and localized weakening of
collagen by proteases leads to rupture. In particular, endstage AAA segments
show a negligible amount87 of fragmented62 elastin, as well as a severe decrease in
smooth muscle cells71.
An intraluminal thrombus (ILT) is found in nearly all formations of clinically
relevant size50 and contradictory hypotheses have been suggested in the role of the
ILT regarding aneurysm rupture. In particular, it is unclear if an ILT increases or
decreases the risk of aneurysm rupture, i.e. if it creates an environment for
Biomechanics of Abdominal Aortic Aneurysm
14
increased proteolytic activity14 (which weakens120 and/or thins62 the wall) or
buffers against wall stress69,119.
1.3. Rupture criteria in a clinical setting
The indication for elective repair is strongly related to the aneurysm’s risk of
rupture, and although maximum diameter is the current criteria for treatment, no
general consensus exists on the critical size beyond which elective repair is
recommended. In each case, the risk of rupture must be weighed against operation
morbidity. Therefore, a single threshold diameter is not appropriate for every
patient, hence the assessment of the risk of rupture should ideally be
individualized to better manage aneurysm patients.
Current clinical practice recommends to repair large AAA, with maximum
transverse diameter larger than 55 mm, or to regularly monitor smaller AAAs
(diameter less than 55 mm) with ultrasound. However, small aneurysms can also
rupture, with an associated mortality rate of up to 50 per cent113. Moreover, the
12-year follow-up of the UK Small Aneurysm Trial reported an overall mortality
of 67.3 per cent for the surveillance group83.
These findings question the ability of maximum diameter criterion to assess AAA
risk of rupture. Several reports demonstrated the existence of a risk of rupture of
AAA below 55 mm in diameter and showed that rapid aneurysm expansion is
associated with increased rupture risk independently of their size7,105,47.
In common clinical practice expansion rate of an AAA is generally defined as the
change in maximum aortic diameter over time.
Limet et al.70 associated the risk of rupture of AAAs with aneurysm expansion
rate and different studies reported an increased mean expansion rate in patients
with ruptured AAAs12,67.
Realistic AAAs have complex, tortuous, and asymmetric shapes with local
changes in surface curvature73,92,97 and the maximum-diameter measures at two
time points only provides limited information regarding aneurysm growth.
Specifically, it might miss regions of fast diameter growth, it cannot quantify axial
15
growth, and it cannot capture shape changes of potential interest for EVAR-
related decisions76.
Stenbaek et al.103 investigated the ILT growth as a potential rupture risk predictor
and concluded that a rapid increase in ILT area may be a better predictor of AAA
rupture than an increase in maximum transverse diameter.
Other factors that have been shown to have a positive correlation with AAA
expansions are blood pressure11,18,19,35,104,108, female sex11,66 and smoking72.
1.4. Biomechanical rupture risk assessment
Recent studies showed that peak wall stress (PWS) in AAAs is a more reliable
parameter than maximum transverse diameter for aneurysm rupture
prediction30,44,53,117. FE simulations of anatomically realistic AAA models were
performed to compare PWS between ruptured or symptomatic and unruptured
aneurysm cases30,31. These studies found a significant difference between the two
groups. The PWS for ruptured aneurysms is about 60 per cent higher than for non-
ruptured and the location of the PWS correlates with the site of rupture117.
However, it is necessary to underline that wall stress alone is not sufficient to
predict rupture risk; regional estimations of wall strength would also be
necessary115. It has previously been shown that wall strength differs significantly
from patient-to-patient and within the same aneurysmatic sac114,115,123. In addition,
Di Martino et al.22 found that the strength of the aneurysmatic wall from ruptured
AAA cases is considerably lower than that for electively repaired ones. In this
regard, Vande Geest and colleagues115 have proposed a statistical model to
noninvasively evaluate the wall strength distribution in AAA taking into account
factors such as gender, age, family history, AAA size and local ILT thickness.
However, based on the principles of material failure knowledge of both, AAA
wall stress distribution and wall tissue strength are necessary to assess rupture
potential, and different biomechanical rupture risk indicators have been suggested
in literature25,44,115.
Another factor of significant importance in AAA rupture risk prediction is the
non-uniformity of the wall thickness. In fact, AAA wall has considerable regional
Biomechanics of Abdominal Aortic Aneurysm
16
variation in wall thickness with a reduction in wall thickness near the rupture
site86. Moreover a significant difference in wall thickness was found between
ruptured and electively repaired aneurysms, as well as an inverse correlation
between wall thickness and local tissue strength22,34.
Due to the inability to measure wall thickness noninvasively, a uniform thickness
is typically assumed in biomechanics modeling of AAAs. Other significant
limitations of previous studies include the use of isotropic tissue constitutive law85
and of a load-free reference configuration. Although an ILT is known to be an
important solid structure40 that influences AAA wall stress distribution it has been
disregarded in many biomechanical AAA models.
Advances in medical imaging, provide good information to perform patient-
specific vascular geometries reconstructions3,99 and an accurate characterization of
the aneurysm shape with the variation of wall thickness73,98 need to be accounted
for the assessment of AAA rupture. In particular the assumption of constant
distribution of wall thickness causes an underestimation of the PWS93,94.
Moreover, accounting for the ILT and the non-homogeneous distribution of tissue
strength and wall thickness in AAA models, reinforced the predictability of FE
simulations, which allowed for a statistically significant discrimination between
ruptured and non-ruptured AAAs44.
1.5. AAA biomechanics
To obtain a reliable estimation of PWS, it is necessary to perform an accurate
three-dimensional reconstruction of the AAA geometry, describe the applied
loads/boundary conditions and identify an appropriate constitutive law for the
aneurysmal tissue. In addition to the mathematical description of mechanical
properties an efficient and implicit numerical implementation28,42,43,45,46 of
constitutive formulations is beneficial for analyzing clinically relevant problems.
1.5.1. AAA wall histology
The wall of later stage aneurysms shows a negligible amount87 of fragmented62
elastin, as well as a sever decrease of smooth muscle cells71. Specifically, collagen
fibers in the vascular wall have a major impact on the mechanical properties at
17
higher loads48,88, i.e. the condition experienced by the aneurysm wall. In addition
to the volume fraction of collagen, its spatial arrangement, including the spread in
orientations32, significantly affects the macroscopic mechanical properties39,46.
Collagen fibrils are regarded as one basic building block of ECMs and give
mechanical strength, stiffness and toughness to the vasculature. Collagen fibrils
are locally secreted by fibroblast and assembled into organized suprafibrillar
structures that, to a large extent, determine the macroscopic mechanical
behavior17. Consequently, understanding the development of hierarchical collagen
structures is crucial to understand the mechanical properties of the vascular wall.
It is well accepted that the collagen structure develops under the action of
mechanical loading and eventually leads to mechanically-optimized structures.
Physiological maintenance of these structures relies on a delicate (coupled)
balance between continual degradation and synthesis of collagen. The
maintenance of fibrillar collagen is realized by fibroblast cells, i.e. by synthesis of
new collagen and degradation by metalloproteinases (MMPs) of existing
collagen49. Mature fibroblasts perceive changes in the mechanical strains/stresses
and adjust their expression and synthesis of collagen molecules in order to
account for the changes in their micro-mechanical environment. While an
alteration of collagen turnover is essential in response to injury4,10,49,102,106, a
malfunction of collagen turnover could fail to result in homeostasis and
determines AAAs disease14. Specifically, at later stages of aneurysm disease the
collagen synthesis is insufficient to counteract higher mechanical wall stress14.
Consequently, the structural integrity of the wall is not ensured, such that wall
strength decreases and the risk for AAA rupture increases proportionally.
1.5.2. AAA wall mechanics
Physiologic and biomechanical studies showed that the AAA wall is a
heterogeneous material undergoing large strains prior to failure59and deforming in
an isochoric manner26. In addition to these observations, a recent study on the
biaxial mechanical behavior of human AAA tissue specimens116 demonstrated a
moderate anisotropic behavior for aneurysmal arterial tissue. Constitutive
modeling of vascular tissue is an active field of research and numerous
Biomechanics of Abdominal Aortic Aneurysm
18
descriptions have been reported. However, the phenomenological
approaches16,21,36,58,85,90,89,110,112 that have been successfully used to fit
experimental data cannot allocate stress to the different histological constituents in
the vascular wall. Structural constitutive models29,43,46,54,55,65,74,127,128 overcome
this limitation and integrate histological and mechanical information of the arterial
wall. Normally, biological tissues respond to their mechanical environment and
model predictions based on passive constitutive descriptions, i.e. suppressing
tissue remodeling and growth can only cover a limited time period. Vascular
tissue develops at its in-vivo loading state, which induces residual strains in its
(hypothetical) load-free configuration, i.e. in the setting that typically serves as a
reference for computations. Predicting realistic physiological stress states with
passive constitutive models requires residual strains in the load-free configuration,
which for complex geometries are unfortunately unknown. Consequently, the key
for improving biomechanical models is to understand the tissue’s inherent
property to adapt to mechanical environments, and in that respect computational
simulations can be potentially helpful. Specifically, multiscale models allow
considering biological process at the microscale, which in turn define the
development of the vascular wall’s macroscopic mechanical properties.
1.5.3. AAA wall expansion
Describing the growth of aneurysms is an active field of research and early work
by Skalak et al. (1981)101 followed by Rodrıguez27 and colleagues contributed
significantly to a continuum-mechanics based modeling of growth and introduced
the concept of kinematics growth; i.e. growth as change is size or shape. This
concept has been then extended to model aspect of arterial adaptations to altered
flow and pressure64,84,109.
In late 1990s Fung also suggested the concept of ‘mass-stress’ based relation of
growth. The second general approach to model growth was built from Fung’s
suggestion, that is, by incorporating evolving mass fractions for individual
constituents within constitutive relations for stress response employing the basic
concept of ‘constrained mixture’ formulations56. This type of approach has led to
different applications to model AAA growth and remodeling61,95,96,124,125, where
19
rule of mixture included contributions from elastin, fibrillar collagen and smooth
muscle. In addition, a focal loss of elastin initiates the process of arterial
dilatations, whereas collagen turnover is responsible for the continuum
expansions.
Although these models were able to predict some clinical observations they are
based on oversimplified assumptions. For example, they use a collagen structure
with two or four families of fiber that is not seen histologically. The collagen
organization in the AAA wall in fact, shows much dispersed orientations39.
In conclusion, these models require significant further development to be
launched clinically, i.e. to predict patient-individual aneurysm rupture in a clinical
setting.
A different approach adopts instead a multi-scale microsphere-based framework,
where the macroscopic mechanical tissue properties are derived through a
numerical integration of a one-dimensional constitutive formulation over the
domain of a unit sphere. Different investigations showed the efficient and robust
applicability and capability of this computational framework that allowed
simulating mechanically induced fiber reorientations and remodeling phenomena
typically observed in soft biological tissues75,77.
Most importantly, this multi-scale constitutive formulation provides an interface
to incorporate evolution equations for the fibrous micro-constituents, to study, for
example, the impact of collagen turnover on the macroscopic properties of the
tissue. This allowed first, to capture fiber alignment with more than one single
direction, then to predict collagen fiber orientation in the AAA wall under
physiological loading conditions, and finally to successfully capture the
enlargement of small AAAs75.
Other approaches to model AAA expansions included the use of isotropic linear
elasticity with prescribed reduction of Young’s modulus to simulate wall
weaking52 or the coupling of growth and failure of the abdominal aortic
aneurysm118.
Biomechanics of Abdominal Aortic Aneurysm
20
Although an ILT is known to be an important solid structure40 that increases the
predictability of AAA models44, it was disregarded in the above mentioned
studies. Beside the intra-luminal thrombus’ direct solid mechanical impact it must
also be seen as a dynamic structure that develops in time. Consequently, a
clinically relevant AAA growth model should also account for the flow of blood
through the aneurysm8 and its coagulation process to thrombus formation9.
Similarly, possible contact with surrounding organs was not considered through
all AAA models mentioned. Naturally, growth model could be improved by
considering the intra-luminal thrombus and possible contact of the AAA,
especially with the spine.
1.5.4. AAA thrombus mechanics
An ILT is found in most AAAs of clinically relevant size50. It has been suggested
that the presence of ILT could dramatically decrease the AAA wall strength;
hypoxia caused by ILT is the main reason for this reduction.
The ILT can be regarded as an incompressible elastic body40 that undergoes non-
linear strains122 in vivo and that influences mechanical stress of the underlying
vessel wall 23,69,79,122,123.
To fully investigate the effect of thrombus concerning rupture risk assessment, it
is important to evaluate its mechanical properties. Mechanical testing showed an
isotropic linear stress-stretch response for ILT tissue and Di Martino et al.23,24
suggested a Hook relation to capture its biomechanical behavior. More recently,
uniaxial40,123 and biaxial116 testing showed that ILT is moderately non-linear
elastic, inhomogeneous, and isotropic.
Multiple biochemical62,63,120 and biomechanical24,41,60,69,79,120 consequences of the
ILT on the AAA have been reported. Likewise, it has been hypothesized that in
vivo ILT failure might be related to aneurysm failure,91 and signs of ILT rupture
have been identified from evaluating CT-A data2,100,107.
Similarly, ILT reveals remarkable heterogeneous Magnetic Resonance (MR)
signal intensity indicating its complex heterogenous microstructure. Nevertheless,
current biomechanical AAA models assume either homogeneous24,60,69,79,120 or
radially changing41 mechanical properties for the ILT, and more realistic
21
distributions might impact the biomechanical assessment of AAA rupture risk.
Accounting for inhomogeneities such as fissures in the ILT can have a
pronounced impact on the stress in the aneurysm wall, and, consequently, the
influence of ILT’s inhomogeneous composition on the wall stress could be of
interest for further investigations82.
23
2. METHODS
A brief review of the applied methods of the present thesis is given below. For
further details see the methods sections of the attached papers (Paper A-D).
2.1. Experimental evidence of AAA growth
Multiple centerline-based diameter measurements between renal arteries and
aortic bifurcation have been used in order to quantify AAA growth of in total 51
patients from CT-A data. Criteria for inclusion were at least one year patient
follow-up and the availability of at least two sufficiently high resolutions CT-A
scans that allowed an accurate three-dimensional reconstruction. Consequently,
124 CT-A scan were systematically analyzed with the diagnostic software
A4clinics (VASCOPS GmbH, Graz, Austria) and aneurysm growth was
monitored at 100 cross-sections perpendicular to the lumen centerline. Measuring
the expansion all along the aneurysm sac can uncover the site of fastest diameter
growth, quantifies the axial growth of the aneurysm, as well as the evolution of
the neck morphology.
2.2. Multiscale constitutive modeling
A novel multi-scale constitutive model for vascular tissue, where collagen fibers
are assembled by proteoglycan cross-linked collagen fibrils (CFPG-complex) and
reinforce an otherwise isotropic matrix (elastin), is presented. Multiplicative
kinematics account for the straightening and stretching of collagen fibrils, and an
orientation density function captures the spatial organization of collagen fibers in
the tissue. Mechanical and structural assumptions at the collagen fibril level
define a piece-wise analytical stress–stretch response of collagen fibers. Likewise,
Biomechanics of Abdominal Aortic Aneurysm
24
collagen fiber are dynamically formed by a continuous stretch-mediated process,
deposited in the current configuration and removed by a constant degradation rate.
Finally, similar to the micro-plane concept6, the macroscopic stress at the material
point is derived by integration over the unit sphere. Specifically, spherical t-
designs 28,51 are used to perform this integration and the constitutive law has been
implemented in a FE environment.
Finally, the model was calibrated to the growth of AAAs that were followed-up
with CT–A as illustrated in §2.1.
2.3. Micromechanical characterization of ILT
Histological slices from 7 ILTs were analyzed using a sequence of automatic
image processing and feature analyzing steps. Derived microstructural data was
used to define Representative Volume Elements (RVE), which in turn allowed the
estimation of microscopic material properties using the non-linear Finite Element
Method (FEM). To this end, constitutive properties at the microscale were
estimated by comparing homogenized FE results with macroscopic experimental
data derived earlier in our laboratory40.
25
3. RESULTS
The most essential results that were derived in this thesis are summarized below.
For further details see the results sections of the attached papers (Paper A-D).
3.1. Clinical study
The aneurysm diameter expanded all over the aneurysm sac in average by 5.6 per
cent per year and at the site of maximal growth of 16 per cent per year. The site of
maximum diameter growth did not coincide with the site of the maximum
diameter. The aneurysm sac expanded longitudinally by 3.7 per cent per year. The
neck length shortened in average by 6 per cent per year, which was accompanied
by a slight increase in neck angulations. The change of maximum aneurysm
diameter as well as volume over time correlated to the mean diameter expansion
of the aneurysm sac (r=0.69 and r=0.77) but not to its maximum diameter
expansion (r=0.43 and r=0.34). Figure 2 summarizes the main results.
Biomechanics of Abdominal Aortic Aneurysm
26
Figure 2: Box-and-Whisker plots of multiple centerline-based aneurysm expansions and global-based aneurysm expansions. : maximum diameter growth; : mean diameter growth, i.e. averaged between the renal arteries and the aortic bifurcation; : global maximum diameter-based expansion rate;
: global volume-based aneurysm expansion; : global longitudinal aneurysm expansion. + symbols denote outliers.
3.2. Numerical predictions of the passive and active responses of the AAA
wall
Although simple mechanical and kinematics assumptions define the collagen
fibril level, the passive model could capture the macroscopic complexity of
vascular tissue, i.e. it replicated the typical stiffening of vascular tissue at the
physiological strain level (Figure 3).
1 1.02 1.04 1.06 1.08 1.10
0.05
0.1
0.15
0.2
0.25
0.3
Stretch λ
Firs
t Pio
la-K
irchh
off s
tress
[MPa
]
Mean pop. data circumferentialMean pop. data longitudinalFE model best fit
AAA biaxial tension
Figure 3: Macroscopic constitutive response of the Abdominal Aortic Aneurysm (AAA) wall under biaxial tension. Best fit Finite Element (FE) results (points) according to the proposed multi-scale constitutive model were compared to mean-population data (lines) reported in the literature116.
Most importantly with regard to the active wall model, collagen turnover had a
remarkable impact on the macroscopic stress field. It avoided high stress gradients
across the vessel wall, thus predicted a physiologically reasonable stress field. It
was founded that the stretch spectrum, at which collagen fibrils are deposed, is the
most influential parameter. Specifically, it determines whether the vascular
geometry grows, shrinks or remains stable in time. See Figure 4 for the
development in time of a patient-specific AAA.
27
Biomechanics of Abdominal Aortic Aneurysm
28
0.22 MPa
0.01
(a) (b) (c) (d)
Figure 4: Stress and shape development of a patient-specific Abdominal Aortic Aneurysm (AAA) model. (a)-(c) Maximum principal Cauchy stress in a patient-specific Abdominal Aortic Aneurysm (AAA) model. (a) Maximum principal Cauchy stress prediction that neglected collagen turnover (passive model). (b) Maximum principal Cauchy stress prediction that accounted for collagen turnover leading to homeostasis. (c) Maximum principal Cauchy stress prediction after one year collagen turnover with parameters that matched the growth of small AAAs. (d) AAA shape difference between the homeostatic solution (b) (dashed line) and the prediction after one year growth (c) (solid line).
3.3. Microstructural and micromechanical characterization of ILT
ILT tissue exhibited complex microstructural arrangement with larger pores in the
abluminal layer than in the luminal layer. The microstructure was isotropic in the
abluminal layer, whereas pores started to orient along the circumferential
direction towards the luminal site. ILT’s macroscopic (reversible) deformability
was supported by large pores in the microstructure and the inhomogeneous
structure explains in part the radially changing macroscopic constitutive
properties of ILT. Its microscopic properties decreased just slightly from the
luminal to the abluminal layer. Moreover, ILT’s constitution was roughly two
times stiffer at the micro than at the macro-scale. See Figure 5 for the strain and
stress distribution at the micro-scale.
Figure 5: Maximum principal natural strain (left) and maximum principal Cauchy stress (right) at the microscale of ILT tissue. Quantities are considered in the ligament material of a particular luminal RVE under macroscopic uniaxial stretch of 6 per cent.
29
31
4. DISCUSSION The results from this thesis showed that AAAs not necessarily grew fastest at the
site of the maximum diameter but randomly somewhere all along the
aneurysmatic sac. Consequently, monitoring the development of the maximum
diameter is not able to measure the maximum diameter growth of the aneurysm,
and hence may not be able to quantify the risk for rupture adequately. The
biomechanical model developed in this thesis was able to capture the non-linear
mechanics of the aortic wall and demonstrated good predictive capability.
Macroscopic stress predictions did not differ much from earlier proposed
constitutive models of the wall’s passive response; however, the multi-scale
approach followed in the present thesis provided information at different length
scales. The framework’s collagen fibril level allowed a sound integration of
vascular wall biology and the impact of collagen turnover on the macroscopic
properties of AAAs was studied. Although the model was able to successfully
capture the enlargement of small AAAs, a rigorous validation against
experimental data would be crucial to evaluate its descriptive and predictive
capabilities. Likewise, the constitutive concept renders a highly efficient multi-
scale structural approach that facilitates the numerical analysis of patient-specific
vascular geometries. Finally, the thesis provided novel structural and mechanical
data for a detailed biomechanical investigation of ILT tissue at the micro-scale.
As a demonstrative application the micro-stress distribution under macroscopic
uniaxial loading was predicted, which indicated micro-scale load transmission
pathways and possible failure scenarios. Similar investigations might be carried
out under general loading conditions to assist experimental testing and to derive
damage and failure surfaces for ILT tissue.
33
5. CONCLUSIONS
This thesis contributed for a better understanding of AAA disease, which might
improve the clinical management of aneurysm patients. Specifically, it has been
shown that neither maximum diameter nor volume measurements over time are
able to measure the fastest diameter growth of the aneurysmatic sac, such that
expansion-related wall weakening might be inappropriately reflected by this type
of surveillance data. In contrast, localized spots of fast diameter growth can be
detected through multiple centerline-based diameter measurements all over the
aneurysmatic sac. Consequently, this information might further reinforce the
quality of aneurysm surveillance programs.
A better understanding of the risk of rupture critically depends on appropriate
constitutive models. The novel constitutive model proposed in the thesis has a
strong biological motivation and integrates the fibril and fiber levels of collagen
with the tissue’s macroscopic properties. Such a structural view is important to
understand the interplay of the tissue’s histology (internal architecture) and its
macroscopic mechanical properties. Apart from modeling the tissue’s passive
response, the presented model might be helpful to understand the impact of
collagen turnover on the macroscopic properties of tissue and to predict saline
feature of aneurysm growth and remodeling.
Finally, the thesis provided novel microstructural and micromechanical data of
ILT tissue, which is critically important to further explore the role of the ILT in
aneurysm rupture. Data provided in this study allow an integration of structural
information from medical imaging for example, to estimate non-invasively ILT’s
macroscopic mechanical properties.
35
6. REFERENCES
1. Alberts, B., Bray, D., Lewis, J., Raff, M., Roberts, K. & Watson J. D. 1994
Molecular biology of the cell, 4th edn. Ypsilanti: Garland Publishing.
2. Arita, T., N. Matsunaga, K. Takano, S. Nagaoka,H. Nakamura, S.
Katayama, N. Zempo, and K. Esato.Abdominal aortic aneurysm: Rupture
associated with the high-attenuating crescent sign. Radiology 204:765–
768,1997.
Arterioscler. Thromb. Vasc. Biol. 25:1558–1566, 2005.
3. Auer M, Gasser TC. Reconstruction and finite element mesh generation of
abdominal aortic aneurysms from computerized tomography angiography
data with minimal user interactions.IEEE Trans Med Imaging 2010
Apr;29(4):1022e8.
4. Barnes, M.J. 1985 Collagens in atherosclerosis. Coll. Relat. Res. 5,65–97.
5. Bashey, R. I., Cox, R., McCann, J. & Jimenez, S.A. 1989 Changes in
collagen biosynthesis, types, and mechanics of aorta in hypertensive rats. J.
Lab. Clin. Med. 113, 604-611.
6. Bazant, Z.P.; Prat, P.C. Microplane model for brittle material. I: Theory.
Journal of Engineering Mechanics, ASCE, 113(7), 1050-1064, 1987.
7. Bernstein LR, Liotta LA. Molecular mediations of interactions with
extracellular matrix components in metastasis and angiogenesis. Curr Opin
Oncol 1994; 6: 106-113.
Biomechanics of Abdominal Aortic Aneurysm
36
8. Biasetti J., Hussain F., & Gasser T.C.. Blood flow and coherent vortices in
the normal and aneurysmatic aortas. A fluid dynamical approach to Intra-
Luminal Thrombus formation. J. R. Soc. Interface, 8:1449–1461, 2011.
9. Biasetti J., Spazzini P.G. & Gasser T.C., 2012 An integrated fluido-chemical
model towards modeling the formation of intra-luminal thrombus in
abdominal aortic aneurysms, Front. Comp. Physiol. Med. (accepted for
publication).
10. Bishop, J.E. & Lindahl, G. 1999 Regulation of cardiovascular collagen
synthesis by mechanical load. Cardiovasc. Res. 42, 27–44.
11. Brown LC, Powell JT. Risk factors for aneurysm rupture in patients kept
under ultrasound surveillance. UK Small Aneurysm Trial Participants. Ann
Surg 1999;230(3):289–296.
12. Brown PM, Zelt DT, Sobolev B. The risk of rupture in untreated aneurysms:
the impact of size, gender, and expansion rate. J Vasc Surg 2003;37(2):280–
284.
13. Carey, D. 1991 Control of growth and differentiation of vascular cells by
extracellular matrix proteins. Ann. Rev. Physiol. 53, 161–177.
14. Choke, E., G. Cockerill, W. R. Wilson, S. Sayed,J. Dawson, I. Loftus, and
M. M. Thompson. A review of biological factors implicated in abdominal
aortic aneurysm upture. Eur. J. Vasc. Endovasc. Surg. 30:227–244, 2005.
15. Choksy, S.A., Wilmink, A.B., and Quick, C.R., 1999, “Ruptured Abdominal
Aortic Aneurysm in the Huntingdon District: a 10-Year Experience,” Annals
of the Royal College of Surgeons of England, 81, pp. 27–31.
16. Chuong, C.J., Fung, Y.C., 1983. Three-dimensional stress distribution in
arteries. Journal of Biomechanical Engineering 105 (3), 268–274.
17. Collagen fibrillar structure and hierarchies. In Collagen Structure and
Mechanics (ed. P. Fratzl), pp 49-80. New York: Springer.
18. Cronenwett JL, Murphy TF, Zelenock GB, Whitehouse Jr WM, Lindenauer
SM, Graham LM et al. Actuarial analysis of variables associated with
rupture of small abdominal aortic aneurysms. Surgery 1985;98:472–483.
19. Cronenwett JL. Variables that affect the expansion rate and rupture of
abdominal aortic aneurysms. Ann NY Acad Sci 1996; 800:56–67.
37
20. Davies, M. J. 1998 Aortic aneurysm formation: lessons from human studies
and experimental models. Circulation 98, 193–195.
21. Delfino, A., Stergiopulos, N., Moore Jr., J.E., Meister, J.J., 1997. Residual
strain effects on the stress field in a thick wall finite element model of the
human carotid bifurcation. Journal of Biomechanics 30 (8), 777–786.
22. Di Martino, E.S., A. Bohra, J.P. Vande Geest, N. Gupta, M. Makaroun and
D.A. Vorp. Biomechanical properties of ruptured versus electively repaired
abdominal aortic aneurysm wall tissue. J. Vasc. Surg. 43:570-576, 2006.
23. Di Martino, E.S., and D.A. Vorp. Effect of variation in intraluminal
thrombus constitutive properties on abdominal aortic aneurysm wall stress.
Ann. Biomed. Eng. 31:804-809, 2003.
24. DiMartino, E., Mantero, S., Inzoli, F., 1998. Biomechanics of abdominal
aortic aneurysm in the presence of endoluminal thrombus: experimental
characterisation and structural static computational analysis. European
Journal of Vascular & Endovascular Surgery 15, 290–299.
25. Doyle BJ, Callanan A, Walsh MT, Grace PA, McGloughlin TM. A finite
element analysis rupture index (FEARI) as an additional tool for abdominal
aortic aneurysm rupture prediction. Vasc Dis Prev. 2009;6:114–121.
26. Drangova, M., Holdsworth, D.W, Boyd, C.J., Dunmore, P.J., Roach, M.R.,
and Fenster, A., 1993, “Elasticity and Geometry Measurements of Vascular
Specimens Using a High-Resolution Laboratory CT scanner,” Physiological
Measurement, 14, pp. 277-290.
27. Edward K. Rodriguez, Anne Hoger, Andrew D. McCulloch. Stress-
dependent finite growth in soft elastic tissues. . Journal of Biomechanics
27(4), 455–467.
28. Federico, S. and Gasser T.C. (2010). Nonlinear elasticity of biological
tissues with statistical fiber orientation. Journal of the Royal Society
Interface 7 (47), 955-66.
29. Ferruzzi, J., Vorp, D.A., Humphrey, J.D., 2011. On constitutive descriptors
of the biaxial mechanical behaviour of human abdominal aorta and
aneurysms. Journal of the Royal Society Interface 8, 435–450.
Biomechanics of Abdominal Aortic Aneurysm
38
30. Fillinger, M.F, M.L. Raghavan, S. Marra, J. Cronenwett, and F.E. Kennedy.
In vivo analysis of mechanical wall stress and abdominal aortic aneurysm
rupture risk. J. Vasc. Surg. 36:589-597, 2002.
31. Fillinger, M.F., S.P. Marra, M.L. Raghavan, and F.E. Kennedy. Prediction
of rupture risk in abdominal aortic aneurysm during observation: wall stress
versus diameter. J. Vasc. Surg. 37:724-732, 2003
32. Finlay, H.M., McCullough, L., Canham, P.B., 1995. Three-dimensional
collagen organization of human brain arteries at different transmural
pressures. Journal of Vascular Research 32, 301-312.
33. Folkesson M, Silveira A, Eriksson P, Swedenborg J. Protease activity in the
multi-layered intra-luminal thrombus of abdominal aortic aneurysms.
Atherosclerosis 2011;218(2):2994-299.
34. Forsell, C., Swedenborg, J., Roy J., Gasser, T. C., 2012. The quasi-static
failure properties of the Abdominal Aortic Aneurysm wall estimated by a
mixed experimental-numerical approach. Annals of Biomedical
Engineering. Submitted for publication.
35. Foster JH, Bolasny BL, Gobbel Jr WG, Scott Jr HW. Comparative study of
elective resection and expectant treatment of abdomianl aortic aneurysm.
Surg Gynecol Obstet 1969; 129(1):1–9.
36. Fung, Y.C., Fronek, K., Patitucci, P., 1979. Pseudoelasticity of arteries and
the choice of its mathematical expression. American Journal of Physiology –
Hearth and Circulation Phisiology 237, H620-H621.
37. Galland, R.B., Whiteley, M.S., and Magee, T.R., 1998, “The Fate of Patients
Undergoing Surveillance of Small Abdominal Aortic Aneurysms,’ European
Journal of Vascular and Endovascular Surgery, 16, pp. 104-109.
38. Gasser TC, Martufi G, Auer M, Folkesson M, Swedenborg J.
Micromechanical characterization of intra-luminal thrombus tissue from
abdominal aortic aneurysms. Ann Biomed Eng 2010; 38(2):371e9.
39. Gasser, T. C., Gallinetti, S. , Xing, X., Forsell, C., Swedenborg, J & Roy J.
2012 Spatial orientation of collagen fibers in the Abdominal Aortic
Aneurysms wall and its relation to wall mechanics. Acta Biomater. 8(8)
3091–3103.
39
40. Gasser, T. C., Görgülü, G., Folkesson, M. & Swedenborg, J. 2008 Failure
properties of intra-luminal thrombus in abdominal aortic aneurysm under
static and pulsating mechanical loads. J. Vasc. Surg. 48, 179-188.
41. Gasser, T. C., M. Auer, and J. Biasetti. Structural and hemodynamical
analysis of aortic aneurysms from computerized tomography angiography
data. In: Proceedings of the World Congress 2009 – Medical Physics and
Biomedical Engineering, September 7–12, Munich, Germany,2009.
42. Gasser, T.C. and Forsell, C. (2011b). The numerical implementation of
invariant-based viscoelastic formulations at finite strains. An anisotropic
model for the passive myocardium. Computer Methods in Applied
Mechanics and Engineering (200), 3637-3645.
43. Gasser, T.C., 2011a. An irreversible constitutive model for fibrous soft
biological tissue: a 3D microfiber approach with demonstrative application
to abdominal aortic aneurysms. ActaBiomaterialia 7(6),2457–2466.
44. Gasser, T.C., Auer, M., Labruto, F., Swedenborg, J., Roy, J., (2010).
Biomechanical rupture risk assessment of abdominal aortic aneurysms:
Model complexity versus predictability of finite element simulations.
European Journal of Vascular & Endovascular Surgery 40, 176-185.
45. Gasser, T.C., Holzapfel, G.A., (2002). A rate-independent elastoplastic
constitutive model for (biological) fiber-reinforced composites at finite
strains: Continuum basis, algorithmic formulation and finite element
implementation. Computational Mechanics (29), 340-360.
46. Gasser, T.C., Ogden, R.W., Holzapfel, G.A., (2006). Hyperelastic modelling
of arterial layers with distributed collagen fiber orientations. Journal of the
Royal Society Interface (3), 15-35.
47. Glimaker H, Hollmberg L, Elvin A, Nybacka O, Almgren B, Bjorck CG.,
Eriksson I.Natural history of patients with abdominal aortic aneurysm. Eur J
Vasc Surg 1991;5:125-130.
48. Greenwald, S., Berry, C., 1980. The effect of alterations of scleroprotein
content on the static mechanical properties of the arterial wall. Advances in
Physiological Science 8, 203–212.
Biomechanics of Abdominal Aortic Aneurysm
40
49. Gupta, V. & Grande-Allen, K. J. 2006 Effects of static and cyclic loading in
regulating extracellular matrix synthesis by cardiovascular cells.
Cardiovasc. Res. 72, 375–383.
50. Hans SS, Jareunpoon O, Balasubramaniam M, Zelenock GB. Size and
location of thrombus in intact and ruptured abdominal aortic aneurysms. J
Vasc Surg 2005;41(4):584-8.
51. Hardin, R.H., Sloane, N.J.A., 1996. McLaren’s improved snub cube and
other new spherical designs in three dimentions. Discrete and Computational
Geometry 15, 429-441.
52. Helderman, F. ,I. J. Manoch, M. Breeuwer, U. Kose, O. Schouten, M. R. M.
van Sambeek, D. Poldermans, P. T. M. Pattynama, W. Wisselink and A. F.
W. van der Steen, Krams R, 2008. A numerical model to predict abdominal
aortic aneurysm expansion based on local wall stress and stiffness. Medical
and Biological Engineering and Computing 46, 11 (2008), 1121-1127.
53. Heng M.S., Fagan M.J., Collier W., Desai G., McCollum P.T., Chetter I.C.,
(2008). Peak wall stress measurement in elective and acute abdominal aortic
aneurysms. Journal of Vascular Surgery (47), 17-22.
54. Holzapfel, G.A, Gasser, T.C, Ogden, R.W., 2000. A new constitutive
framework for arterial wall mechanics and a comparative study of material
models. Journal of elasticity 61, 1-48.
55. Holzapfel, G.A, Gasser, T.C, Stadler, M., 2002. A structural model for the
viscoelastic behavior of arterial walls: continuum formulation and finite
element analysis. European Journal of Mechanic – A/Solids 21(3), 441-463.
56. Humphrey, J. D. & Rajagopal, K. R. 2002 A constrained mixture model for
growth and remodeling of soft tissues. Mat. Model. Meth. App.l Sci. 12,
407–430.
57. Humphrey, J. D. 1999 Remodelling of a collagenous tissue at fixed lengths.
J. Biomech. Eng. 121, 591–597.
58. Humphrey, J.D., 1995. Mechanics of the arterial wall: review and directions.
Critical reviews in biomedical engineering 23 (1-2), 1-162.
59. Humphrey, J.D., 2002, Cardiovascular Solid Mechanics: Cells, Tissues, and
Organs, Springer-Verlag, New York.
41
60. Inzoli, F., F. Boschetti, M. Zappa, T. Longo, and R. Fumero. Biomechanical
factors in abdominal aortic aneurysm rupture. Eur. J. Vasc. Surg. 7:667–674,
1993.
61. J. S. Wilson, S. Baek and J. D. Humphrey. Importance of initial aortic
properties on the evolving regional anisotropy, stiffness and wall thickness
of human abdominal aortic aneurysms J. R. Soc. Interface; published ahead
of print April 4, 2012, 1742-5662.
62. Kazi M., Thyberg J., Religa P., Roy J., Eriksson P., Hedin U., Swedenborg
J. 2003 Influence of intraluminal thrombus on structural and cellular
composition of Abdominal Aortic Aneurysm wall, J. Vasc. Surg. 38, 1283-
1292.
63. Kazi, M., C. Zhu, J. Roy, G. Paulsson-Berne, A. Hamsten, J. Swedenborg,
U. Hedin, and P. Eriksson. Difference in matrix-degrading protease
expression and activity between thrombus-free and thrombus-covered wall
of abdominal aortic aneurysm. Arterioscler. Thromb. Vasc. Biol. 25:1341–
1346, 2005.
64. Kuhl, E., R. Maas, G. Himpel, A. Menzel. Computational modeling of
arterial wall growth. Biomechan Model Mechanobiol (2007) 6:321–331.
65. Lanir, Y.,1983. Constitutive equations for fibrous connective tissues. Journal
of biomechanics 16(1), 1-12.
66. Larsson, E. , Labruto, F., Gasser, T.C., Swedenborg, J., Hultgren, R.
Analysis of aortic wall stress and rupture risk in patients with abdominal
aortic aneurysm with a gender perspective. Journal of Vascular Surgery
2011 54(2) 295-299.
67. Lederle FA, Johnson GR, Wilson SE, Ballard DJ, Jordan Jr WD, Blebea J et
al. Rupture rate of large abdominal aortic aneurysms in patients refusing or
unfit for elective repair. JAMA 2002;287(22):2968–297.
68. Lederle, F.A., G.R. Johnson, and S.E. Wilson. Prevalence and associations
of abdominal aortic aneurysms detected through screening. Aneurysm
Detection and Management (ADAM) Veterans Affairs Cooperative Study
Group. Ann. Inter. Med. 126:441-449, 1997.
Biomechanics of Abdominal Aortic Aneurysm
42
69. Li ZY, U-King-Im J, Tang TY, Soh E, See TC, Gillard JH. Impact of
calcification and intraluminal thrombus on the computed wall stresses of
abdominal aortic aneurysm. J Vasc Surg 2008;47(5): 928e35.
70. Limet, R., N. Sakalihasan, and A. Albert. Determination of the expansion
rate and the incidence of rupture of abdominal aortic aneurysms. J. Vasc.
Surg. 14:540-548, 1991.
71. López-Candales A, Holmes DR, Liao S, Scott MJ, Wickline SA, Thompson
RW. 1997 Decreased vascular smooth muscle cell density in medial
degeneration of human abdominal aortic aneurysms. Am. J. Pathol. 150,
993-1007.
72. MacSweeney ST, Ellis M, Worrell PC, Greenhalgh RM,Powell JT. Smoking
and growth rate of small abdominal aortic aneurysms. Lancet
1994;344(8923):651–652.
73. Martufi G , Di Martino ES, Amon CH, Muluk SC, Finol, EA, 2009, Three-
dimensional geometrical characterization of abdominal aortic aneurysms:
image-based wall thickness distribution, Journal of Biomechanical
Engineering,131(6):061015.
74. Martufi G. & Gasser T. C. 2011 A constitutive model for vascular tissue that
integrates fibril, fiber and continuum levels with application to the isotropic
and passive properties of the infrarenal aorta. J. Biomech. 44, 2544-2550.
75. Martufi G. & Gasser T. C. 2012 Turnover of Fibrillar Collagen in Soft
Biological Tissue with Application to the Expansion of Abdominal Aortic
Aneurysms. Journal of the Royal Society Interface (in press).
76. Martufi, G.,Auer, M.,Roy, J., Swedenborg, J.,Sakalihasan, N.,Panuccio,
G., and Gasser, T.C., 2012, ” Growth of Small Abdominal Aortic
Aneurysms: A multidimensional analysis", submitted to Journal of
Vascular Surgery.
77. Menzel, A., Waffenschmidt, T., 2009. A microsphere-based remodelling
formulation for anisotropic biological tissues. Phil. Trans. R. Soc. A 13
September vol. 367 no. 1902 3499-3523
43
78. Mortality results for randomised controlled trial of early elective surgery or
ultrasonographic surveillance for small abdominal aortic aneurysms. The
UK Small Aneurysm Trial Participants. Lancet 352:1649-1655, 1998.
79. Mower WR, Quinones WJ, Gambhir SS. Effect of intraluminal thrombus on
abdominal aortic aneurysm wall stress. J Vasc Surg 1997;26(4):602-8.
80. Nissen, R., Cardinale, G. J. & Udenfriend, S. 1978 Increased turnover of
arterial collagen in hypertensive rats. Proc. Natl. Acad. Sc.i USA Med. Sci.
75, 451–453.
81. Patel, M.I., D.T.A. Hardman, C.M. Fisher, and M. Appleberg. Current views
on the pathogenesis of abdominal aortic aneurysms. J. Am. Col. Surg.
181:371–382, 1995.
82. Polzer S., T.C. Gasser , J. Swedenborg , J. Bursa. The Impact of
Intraluminal Thrombus Failure on the Mechanical Stress in the Wall of
Abdominal Aortic Aneurysms. Eur. J. Vasc. Surg. 41:467–473, 2011.
83. Powell JT, Brown LC, Forbes JF, Fowkes FG, Greenhalgh RM, Ruckley
CV, Thompson SG. Final 12-year follow-up of surgery versus surveillance
in the UK Small Aneurysm Trial. Br J Surg 2007;94:702–708.
84. Rachev, A.,Stergiopulos, N.,Meister, J. J. A model for geometric and
mechanical adaptation of arteries to sustained hypertension. Journal of
biomechanical engineering, 120, 9-17,1998.
85. Raghavan, M.L., and Vorp, D.A., 2000, “Toward a Biomechanical Tool to
Evaluate Rupture Potential of Abdominal Aortic Aneurysm: Identification
of a Finite Strain Constitutive Model and Evaluation of Its Applicability,”
Journal of Biomechanics, 33, pp. 475-482.
86. Raghavan, M.L., J. Kratzberg, E.M. Castro de Tolosa, M.M. Hanaoka, P.
Walker, and E.S. da Silva. Regional distribution of wall thickness and
failure properties of human abdominal aortic aneurysm. J. Biomech.
39:3010-3016, 2006.
87. Rizzo R.J., McCarthy W.J., Dixit S.N., Lilly M.P., Shively V.P., Flinn
W.R.,& Yao J.S.T. 2011 Collagen types and matrix protein content in
human abdominal aortic aneurysms. J. Vasc. Surg., 10, 365–373.
Biomechanics of Abdominal Aortic Aneurysm
44
88. Roach, M.R., Burton, A.C., 1957. The reason for the shape of the
distensibility curves of arteries. Canadian Journal of Physiology and
Pharmacology 35,681-690.
89. Rodriguez, J. F., C. Ruiz, M. Doblare, and G. A. Holzapfel. Mechanical
stresses in abdominal aortic aneurysms: influence of diameter, asymmetry,
and material anisotropy. J. Biomech. Eng. 130:021023, 2008.
90. Rodriguez, J.F., Martufi, G., Doblaré, M., and Finol, E.A., 2009, “The effect
of material model formulation in the stress analysis of abdominal aortic
aneurysms,” Annals of Biomedical Engineering, 37(11) 2218-2221.
91. Roy, J., F. Labruto, M. O. Beckman, J. Danielson,G. Johansson, and J.
Swedenborg. Bleeding into the intraluminal thrombus in abdominal aortic
aneurysms is associated with rupture. J. Vasc. Surg. 48:1108–1113,2008.
92. Sacks, M.S., D.A. Vorp, M.L. Raghavan, M.P. Federle, and M.W. Webster.
In vivo three- dimensional surface geometry of abdominal aortic aneurysms.
Ann. Biomed. Eng. 27:469–479, 1999.
93. Scotti, C.M., A.D. Shkolnik, S.C. Muluk, and E.A. Finol. Fluid-structure
interaction in abdominal aortic aneurysms: Effects of asymmetry and wall
thickness. Biomed. Eng. OnLine. 4:64, 2005.
94. Scotti, C.M., Jimenez, J., Muluk, S.C., and Finol, E.A., 2008, “Wall Stress
and Flow Dynamics in Abdominal Aortic Aneurysms: Finite Element
Analysis vs. Fluid-Structure Interaction,” Computer Methods in
Biomechanics and Biomedical Engineering, 11(3), pp. 301-322.
95. Shahrokh Zeinali-Davarani , Azadeh Sheidaei & Seungik Baek 2011. A
finite element model of stress-mediated vascular adaptation: application to
abdominal aortic aneurysms. Computer Methods in Biomechanics and
Biomedical Engineering 14:9, 803-817.
96. Sheidaei, A. , Hunley, S.C., . Zeinali-Davarani, S., Raguin, L.G., Baek S.,
2011. Simulation of abdominal aortic aneurysm growth with updating
hemodynamic loads using a realistic geometry. Medical Engineering &
Physics 33(1):80-88.
45
97. Shum J, Martufi G, Di Martino ES, Washington CB, Grisafi J, Muluk SC,
Finol EA, 2011, Quantitative assessment of abdominal aortic aneurysm
shape, Annals of Biomedical Engineering, 39(1):277-286.
98. Shum, J., E. S. DiMartino, A. Goldhammer, D. Goldman, L. Acker, G.
Patel, Julie H. Ng, Giampaolo Martufi, Finol, E.A. Semi-automatic vessel
wall detection and quantification of wall thickness in CT images of human
abdominal aortic aneurysms. Med. Phys. 37:638–648, 2010.
99. Shum, J., Xu, A., Chatnuntawech, I., Finol, E.A. A framework for the
automatic generation of surface topologies for abdominal aortic aneurysm
models. Annals of Biomedical Engineering 39 (1) :249-259
100. Sima˜ o da Silva, E., A. J. Rodrigues, E. Magalha˜ es Castro de Tolosa, C. J.
Rodrigues, G. Villas Boas do Prado, and J. C. Nakamoto. Morphology and
diameter of infrarenal aortic aneurysms: a prospective autopsy study.
Cardiovasc.Surg. 8:526–532, 2000.
101. Skalak R. Growth as finite displacement field. In D.E Carlson and RT
Shield, editors, Proc. IUTAM Symposium on Finite Elasticity. Martinus
Nijhoff, 1981.
102. Sluijter, J. P. G., Smeets, M. B., Velema, E., Pasterkamp, G. & de Kleijn, D.
P. V. 2004 Increased collagen turnover is only partly associated with
collagen fiber deposition in the arterial response to injury. Cardiovasc. Res.
61, 186–195.
103. Stenbaek, J., Kalin, B., Swedenborg, J., 2000. Growth of thrombus may be a
better predictor of rupture than diameter in patients with abdominal aortic
aneurysms. European Journal of Vascular & Endovascular Surgery 20, 466–
469.
104. Sterpetti AV, Cavallaro A, Cavallari N, Allegrucci P, Tamburelli A, Agosta
Fet al. Factors influencing the rupture of abdominal aortic aneurysms. Surg
Gynecol Obstet 1991; 173(3):175–178.
105. Sterpetti AV, Cavallaro A, Cavallari N, Allegrucci P, Tamburelli A, Agosta
F, Bartoli S. Factors influencing the rupture of abdominal aortic aneurysms.
Surg Gyn & Obst 1991;173:175-178.
Biomechanics of Abdominal Aortic Aneurysm
46
106. Strauss, B. H., Robinson, R., Batchelor, W. B., Chisholm, R. J., Ravi, G.,
Natarajan, M. K., Logan, R. A., Mehta, S. R. Levy, D. E., Ezrin, A.M. &
Keeley, F.W. 1996 In vivo collagen turnover following experimental
balloon angioplasty injury and the role of matrix metalloproteinases. Circ
Res 79, 541-550.
107. Swedenborg, J., F. Labruto, and J. Roy. Bleeding into the thrombus in
ruptured abdominal aortic aneurysms. In: More Vascular and Endovascular
Challenges, edited by R. M. Greenhalgh. London: BIBA Publishing, 2007
pp. 63–67.
108. Szilagyi DE, Elliott JP, Smith RF. Clinical fate of the patient with
asymptomatic abdominal aortic aneurysm and unfit for surgical treatment.
Arch Surg 1972;104(4):600–606.
109. Taber LA. A model for aortic growth based on fluid shear and fiber stresses.
Journal of biomechanical engineering, 120, 348-354,1998.
110. Takamizawa, K., Hayashi, K., 1987. Strain energy density function and
uniform strain hypothesis for arterial mechanics. Journal of Biomechanics
20 (1), 7–17.
111. Upchurch Jr., G. R., and T. A. Schaub. Abdominal aortic aneurysm. Am.
Fam. Physician 73:1198–1204, 2006.
112. Vaishnav, R.N., Young, J.T., Janicki, J.S., Patel J.S., 1972. Nonlinear
anisotropic elastic properties of the canine aorta. Biophysical Journal 12 (8),
1008-1027.
113. Valentine RJ, Decaprio JD, Castillo JM, Modrall JG, Jackson MR, Clagett
GP. Watchful waiting in cases of small abdominal aortic aneurysms
appropriate for all patients? J Vasc Surg 2000;32:441– 448.
114. Vallabhaneni SR, Gilling-Smith GL, How TV, Carter SD, Brennan JA,
Harris PL. Heterogeneity of tensile strength and matrix metalloproteinase
activity in the wall of abdominal aortic aneurysms. Journal of Endovascular
Therapy 2004;11:494–502. [PubMed: 15298501]
115. Vande Geest JP, Wang DHJ, Wisniewski SR, Makaroun MS, Vorp DA. A
noninvasive method for determination of patient-specific wall strength
47
distrubtion in abdominal aortic aneurysms. Annals of Biomedical
Engineering 2006a;34:1098–1106.
116. Vande Geest, J.P., Sacks, M.S., Vorp, D.A., 2006b. A planar biaxial
constitutive relation for the luminal layer of intra-luminal thrombus in
abdominal aortic aneurysms. Journal of Biomechanics 13, 2347–2354.
117. Venkatasubramaniam, A.K., M.J. Fagan, T. Mehta, K.J. Mylankal, B. Ray,
G. Kuhan, I.C. Chetter, and P.T. McCollum. A comparative study of aortic
wall stress using finite element analysis for ruptured and non-ruptured
abdominal aortic aneurysms. Europ. J. Vasc. Surg. 28:168-176, 2004.
118. Volokha, K. Y. & Vorp, D. A. 2008 A model of growth and rupture of
abdominal aortic aneurysm. J. Biomech. 41, 1015-1021.
119. Vorp, D. A., and J. P. Vande Geest. Biomechanical determinants of
abdominal aortic aneurysm rupture. Arterioscler. Thromb. Vasc. Biol.
25:1558–1566, 2005.
120. Vorp, D. A., P. C. Lee, D. H. Wang, M. S. Makaroun, E. M. Nemoto, S.
Ogawa, and M. W. Webster. Association of intraluminal thrombus in
abdominal aortic aneurysm with local hypoxia and wall weakening. J. Vasc.
Surg.34:291–299, 2001.
121. Vorp, D.A, M.L. Raghavan, and M. Webster. Mechanical wall stress in
abdominal aortic aneurysm :influence of diameter and asymmetry. J. Vasc.
Surg. 27:632-639, 1998.
122. Vorp, D.A., Mandarino, W.A., Webster, M.W., Gorcsan 3rd., J., 1996a.
Potential influence of intraluminal thrombus on abdominal aortic aneurysm
as assessed by a new non-invasive method. Cardiovascular Surgery 4, 732–
739.
123. Wang DHJ, Makaroun MS, Webster MW, Vorp DA. Effect of intraluminal
thrombus on wall stress in patient-specific models of abdominal aortic
aneurysm. Journal of Vascular Surgery 2002;36:598–604.
124. Watton, P. N. & Hill, N. A. 2009 Evolving mechanical properties of a model
of abdominal aortic aneurysm. Biomech. Model. Mechanobiol. 8, 25–42.
Biomechanics of Abdominal Aortic Aneurysm
48
125. Watton, P. N., Heil, M. & Hill, N. A. 2004 A mathematical model for the
growth of the abdominal aortic aneurysm. Biomech. Model. Mechanobiol. 3,
98–113.
126. Witkewicz, W., Gnus, J., Hauser, W., Czernilewski, L., 2005.
Biomechanical characterization of the wall of abdominal aortic aneurysm
exposed to infection. Angiology & Vascular Surgery 11, 25–29.
127. Wuyts, F. L., Vanhuyse, V. J., Langewouters, G.J., Decraemer, W.F.,
Raman, E.R., Buyle S.,1995. Elastic properties of human aortas in relation
to age and atherosclerosis: a structural model. Physics in Medicine and
Biology 40, 1577-1597.
128. Zulliger, M.A., Fridez, P., Hayashi, K., Stergiopulos, N., 2004. A strain
energy function for arteries accounting for wall composition and structure.
Journal of Biomechanics 37 (7), 989-1000.