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Quantifying Hemodynamic Changes Caused by Stenting
   of Coronary Bifurcation Lesions Using Realistic
        Computational Fluid Dynamics Models

                   November 14, 2008

                           By
                 Andrew R. Williams, B.S.

                       Committee:

                    John LaDisa, PhD
                      Said Audi, PhD
                 Bon-Kwon Koo, MD PhD
                     Lars Olson, PhD




                            1
                                                     1
Outline 
 
 
 
 
 
 
 
 
 
 
 
 
 

•   Introduction

•   Methods

•   Specific Aim 1

•   Specific Aim 2

•   Specific Aim 3

•   Discussion

•   Conclusions

•   Next Steps


                    2
                                      2
Introduction - Cardiovascular Disease

•   1 in 2.8 deaths in the United States is caused by
    cardiovascular disease (CVD)

•   52% of those deaths are caused by coronary artery
    disease (CAD) in which fatty deposits form and
    occlude blood flow to the heart

    •   Risk factors manifest globally and include:

        •   High cholesterol

        •   High Blood pressure

        •   Diabetes mellitus

        •   Smoking

                                3      AHA Heart Disease and Stroke Statistics 2007 update
                                                                                             3
Introduction - Bifurcations
 
 
 
 
 



 •   Plaque tends to form
     locally at

     •   Bends

     •   Branches

     •   Bifurcations




                        Fung Y. Biomechanics: Mech. Properties of Living Tissues. New York: Springer; 1993.
                                    4
                                                                                                          4
Introduction - Coronary Anatomy
 
 
                                                             2
                                              1
  Major coronary arteries
  include the:                                                         3
   1. Right Coronary Artery
      (RCA)
   2. Left Circumflex (LCX)
   3. Left Anterior
      Descending (LAD)


The most common site of bifurcation plaque is the LAD/D1



                         From Wolf-Heidegger’s Atlas of Human Anatomy. 6th ed.
                             5
                                                                                 5
Introduction - Bifurcation Flow Profile




  The flow profile after a bifurcation is skewed towards the
  carina.

                            6                  Courtesy of Eric Gross MD, PhD
                                                                                6
Introduction - Important Indices

 
 
• Wall shear stress (WSS or τ):
  The tangential stress imparted onto the walls of a
  blood vessel as a result of moving fluid
• Oscillatory shear index (OSI):
  OSI quantifies the deviation of WSS from the
  primary flow direction during the cardiac cycle
  OSI ranges between 0 (no change in direction) and
  0.5 (complete reversal of direction)




                          7
                                                       7
Introduction - Coronary Artery Disease
  Plaque forms at locations of low time averaged wall
  shear stress (TAWSS) and high oscillatory shear
  index (OSI)




                          8         www.nhlbi.nih.gov/health/dci/Diseases/Angioplasty
                                                                                    8
Introduction - Stenting
 
 
 
 
 
 
 
 •   Stenting is the most
     common method to
     treat CAD

 •   Procedure involves:
     A. Position catheter
     B. Expand the stent
     C. Remove the catheter

 •   In 2005 in the US,
     there were 1,265,000
     PCI of which 620,000
     were stent
     implantations
                            9   www.nhlbi.nih.gov/health/dci/Diseases/Angioplasty
                                                                                9
Introduction - Restenosis 
 
 
 
 
 
           Over the course of months, 15-20% of stented patients
           have neointimal hyperplasia growth through and around
           the stent potentially causing:

        • redevelopment of the
              stenosis
        • an increase in resistance
        • reduced blood flow
           Stent geometry is an
           important factor in
           restenosis


                                                              10
Deplano et al. Med Biol Eng Comput. Sep 2004;42(5):650-659.        www.nhlbi.nih.gov/health/dci/Diseases/Angioplasty
                                                                                                                  10
Introduction - Types of Stents
 
 
 
 
   Taxus Express2                          Taxus Liberte
      (Boston Scientific)                     (Boston Scientific)




                           Cypher
                           (Cordis, J&J)




                                11
                                                                  11
Introduction - Bifurcation Stents

 
 
  MultiLink Frontier
       (Abbott Vascular)




                                Axxess Plus
                                   (Devax)




                           12
                                              12
Introduction - Bifurcation Stenting
 
 
     There are multiple methods to stent bifurcations
     with traditional stents.
  Single Stent Method                  Two Stent Method




Adapted from www.angioscore.com   13
                                                          13
Introduction - Difficulties studying blood flow in vivo


     Blood flow is therefore important, but

      •   WSS measurement is not part of clinical practice

      •   devices do not have required resolution




Velocity and shear rate in a human common carotid artery with ultrasound

                                   14   Katritsis et al. Prog Cardiovasc Dis. Mar-Apr 2007;49(5):307-329.
                                                                                                      14
Introduction - CFD
 
 
 
 
 
 
 
 
Computational Fluid Dynamics (CFD) is an
advanced simulation tool ideal for studying the local
effects of blood flow.
                                 Example Model Geometry
Requirements:
                                   Inflow
 •   Model Geometry

 •   Computational Mesh
                          Wall properties
 •   Inflow Boundary
     Conditions

 •   Outflow Boundary      Outflow
     Conditions

 •   Wall Properties


                            15
                                                          15
Introduction - Previous Work - CFD Stents
               LaDisa et al. simulated blood flow through a stented model
               to show that WSS correlated with neointimal hyperplasia in
               rabit illiacs.
               Deplano et al. simulated blood flow through a stented
               bifurcation with zero pressure outlet boundary conditions.




                                                             16
LaDisa et al. AJP - Heart Circ Physiol 288: H2465-75, 2005        Deplano et al. Med Biol Eng Comput. Sep 2004;42(5):650-659.
                                                                                                                            16
Introduction - Previous Work (cont.)
 

 •   CFD bifurcation models with realistic
     dimensions and physiologic boundary conditions
     have not been created

 •   Previous CFD studies with stents have used
     simplified geometries

 •   Treatment-specific changes in coronary
     bifurcation blood flow have not been studied

 •   Patient-specific models have not included stents
     previously



                          17
                                                       17
Hypothesis

 
 
 
 
 
 
 
 
 
 
 

  Adverse hemodynamic changes are
  introduced in bifurcation regions by
     stenting and are influenced by
      implantation technique, stent
   orientation, and post-implantation
                geometry




                   18
                                         18
Specific Aims
 
 
 
 
 
 
 
 
 
 
 
1. Create idealized models and simulate
   blood flow through the LAD/D1
   bifurcation pre-stenting, post-stenting,
   and post-kissing
2. Create patient-specific models and
   simulate blood flow through the LAD/D1
   bifurcation pre- and post-stenting
3. Simulate the expansion of a stent using
   finite element analysis (FEA)


                       19
                                              19
Outline 
 
 
 
 
 
 
 
 
 
 
 
 
 

•   Introduction

•   Methods

•   Specific Aim 1

•   Specific Aim 2

•   Specific Aim 3

•   Discussion

•   Conclusions

•   Next Steps


                    20
                                      20
Methods

 
 
 
 
 
 
 
 
 
 
 
 
  •   Meshing
  •   Inflow Boundary Conditions
  •   Outflow Boundary Conditions
  •   Vessel Wall Properties




                         21
                                    21
Methods - Meshing
 
 
 
 
 
 
 
 
Meshing discretizes a model into millions of element
for which the mass and momentum balance
equations are solved




                          22
                                                       22
Methods - Inflow Boundary Conditions
                          • An inflow waveform must be defined for at least one face
                          • LaDisa et al. measured blood flow through a canine coronary
                                artery using an ultrasonic flow probe
                          • Resting and elevated blood flow conditions were applied
                                using a Womersley velocity profile
                                                                                                      3.500
                    1.5

                                                                                                      3.000
                    1.2
                                                                                                      2.500
Blood Flow (cc/s)




                    0.9                                                                               2.000



                                                                                  Blood Flow (cc/s)
                                                                                                      1.500
                    0.6

                                                                                                      1.000
                    0.3
                                                                                                      0.500

                    0.0                                                                               0.000
                       0.00    0.10   0.20    0.30      0.40   0.50   0.60                                0.000    0.100   0.200     0.300      0.400   0.500   0.600
                                             Time (s)                                                                                Time (s)



                                         Rest                                                                     Elevated Blood Flow
                                                                             23                                                    LaDisa et al. JAP 2002; 93:1939-1946
                                                                                                                                                                          23
Methods - Outlet Boundary Conditions
• Input impedance represents the contribution of all
   vessels distal to an outlet
• Coronary input impedance increases during systole
   constituting a non-linear, time-varying system for
   which standard frequency analysis is invalid
• Van Huis et al. measured the impulse response in the
   canine LAD under resting conditions circumventing
   this limitation
• These methods neglect the time-varying resistance
   caused by myocardial contraction
• The input impedance can be approximated by a three
   element Windkessel model with limitations
                             24              From the SimVascular User Manual
                                                                            24
Outlet Boundary Conditions (cont.)
 

• Rp is the characteristic impedance (Zc):



   where Cph is wave speed, ρ is density, and r is radius
• Rp was calculated for each branch individually




                            25   Van Huis et al. Am J Physiol. Aug 1987;253(2 Pt 2):H317-324
                                                                                               25
Outlet Boundary Conditions (cont.)
 
 •   Van Huis et al. calculated Rd:




 •   Capacitance is found by using the pulse pressure
     method of Stergiopulos et al. which iterates the
     capacitance until the simulation pulse pressure
     matches physiologic pulse pressure

 •   The mean flow was calculated as the fraction of the
     total flow going to each branch, assuming WSS auto-
     regulation or equal WSS at the outlets



                            26   Van Huis et al. Am J Physiol. Aug 1987;253(2 Pt 2):H317-324
                                                                                               26
Outlet Boundary Conditions (cont.)
 
 •   Elevated blood flow conditions (i.e. exercise or
     hyperemia) representative of those achieved by
     continuous intracoronary adenosine infusion were
     applied

 •   Rp was calculated using a representative wave speed
     for exercise

 •   Elevated blood flow conditions from LaDisa et al.
     were imposed

 •   Rd and C were calculated with increased flow and
     the same pressure



                           27              Koo et al. Circ. Aug. 2005; 69: 908-912
                                                                                27
Methods - Vessel Wall Properties 
 
 
• No slip assumed
• Rigid walls assumed
 • Later simulations will include deformable
    walls with different moduli for vessel and
    stent surfaces




                      28
                                                 28
Outline 
 
 
 
 
 
 
 
 
 
 
 
 
 

•   Introduction

•   Methods

•   Specific Aim 1

•   Specific Aim 2

•   Specific Aim 3

•   Discussion

•   Conclusions

•   Next Steps


                    29
                                      29
Specific Aim 1
-Idealized models
 
 
 


 • Motivation
 • Model generation
 • Stent Creation
 • Design parameters
 • Results
 • Summary

                       30
                                         30
Specific Aim 1- Motivation Carina Shift
    Intravascular Ultrasound (IVUS) Data

                                  Pre-Stent



                                 Post-Stent



                                  Post-Kiss

                     31        Images courtesy of Bon-Kwon Koo, MD, PhD
                                                                      31
Specific Aim 1- Motivation (cont.)
 
 

          • Finet’s Law
            Empirically derived formula relating parent vessel
            radius (rp) to the sum of the daughter vessels radii
            (rdaughter1, rdaughter2)




                                      32
Courtesy of Bon-Kwon Koo, MD PhD                           Finet et al. EuroInterv. 2007;3.
                                                                                        32
Specific Aim 1- Design Parameters
 
 




                   33      Ikeda et al. Jpn Heart J. Sep 1991;32(5):627-633
                                                                         33
Specific Aim 1- Design Parameters (cont.)
                        Crimped Stent Sketch




                   34
                                               34
Specific Aim 1 - Important Indices
 
 
• Fractional Flow Reserve (FFR) is clinical method to
   quantify the severity of a stenosis




   Where QSmax and QNmax are the maximum flows
   through the stenosed and normal vessels
   respectively
   In practice FFR is approximated, where Pd and Pa are
   the pressure distal and proximal to the stenosis,
   respectively, during exercise
• % Stenosis is the percent change in area measured
   by angiography
                            35           Adapted from Bon-Kwon Koo, MD PhD
                                                                         35
Specific Aim 1 - Important Indices (cont.)
          • Angiographic Severity vs. FFR Severity
          • FFR Severity does not correlate well with %




                                                                                          Why discrepancy????
                stenosis.
                One explanation is that only the minor diameter of the side
                branch is observed and the major diameter cannot be seen during
                an angiographic assessment.

                                         Why discrepancy????




                                                                        MB
                                                                        MB
                                                                MB        SB
                                                                 MB


                                                                                     SB
                                                      Major

                                                                 SB
                                                                 SB
                                                     Diameter
                                                                        Minor
                                                                       Diameter
                                                36
Koo et al. JACC 2005, 46(4) 633-7                                  Adapted from Bon-Kwon Koo, MD PhD
                                                                                                                36
Specific Aim 1- Model Generation
 
 




                   37
                                       37
Specific Aim 1- Stent Creation

 
 
 




                   38
                                        38
Specific Aim 1- Boolean Subtraction
 




                   39
                                        39
Specific Aim 1- Resulting Models

 
 
    IVUS Data           Resulting Idealized Models
                         Pre-Stent




                        Post-Stent



                         Post-Kiss


                   40
                                                     40
Specific Aim 1- Side Branch Jailing
 
 
Post-Stent Best Case               Post-Stent Worst Case




                       Post-Kiss




                          41
                                                           41
Specific Aim 1 - Mesh Independence
 
• CFD models were simulated with increasingly refined
  element density using an adaptive meshing approach
• Results were assumed to be mesh independent when
  TAWSS at 5 locations within the computational
  domain changed less than 6% (< 0.09 dyn/cm2)
  between two successive meshes




            Figure showing faces where WSS was assessed

                               42
                                                          42
Specific Aim 1 - Mesh Independence (cont.)




     Number of Elements In Successive Meshes
                       43
                                               43
Specific Aim 1- Volume Rendered Velocity
    Pre-Stent                Pre-Stent


0                22.5         0             55

Rest (cm/s)                   Exercise (cm/s)
    Post-Stent
      Worst                  Post-Kiss


0                20           0             20

Rest (cm/s)                   Rest (cm/s)
                        44
                                                 44
Specific Aim 1- TAWSS Resting

 
 
 
             Post-Stent        Post-Stent
Pre-Stent                                   Post-Kiss
             Best Case         Worst Case




             0                         20
            Time-averaged WSS (dynes/cm2)
                          45
                                                        45
Specific Aim 1- TAWSS Exercise
 
 
 
             Post-Stent        Post-Stent
Pre-Stent                                   Post-Kiss
             Best Case         Worst Case




             0                         30
            Time-averaged WSS (dynes/cm2)
                          46
                                                        46
Specific Aim 1 - Area with Low WSS
 
                      *)%()+,quot;-&quot;./)'012)/quot;3-/)0quot;4'00quot;51,6quot;7-5quot;4##quot;quot;
                                     89quot;:quot;/;+)<=(>?@Aquot;
               #!quot;

               '#quot;

               '!quot;

               &#quot;

               &!quot;
  !quot;#$%&'()quot;




               %#quot;
                                                                                                     +,2/quot;9:;quot;
               %!quot;                                                                                   ,<,+=82,9:;quot;

               $#quot;

               $!quot;

                #quot;

                !quot;
                     ()quot;*+,-./,0/quot;   ()quot;*12/-./,0/quot;3,2/quot;452,quot; ()quot;*12/-./,0/quot;61+2/quot;   ()quot;*12/-7822quot;
                                                                      452,quot;


               Stenting increases area of low WSS
               Area of low WSS is reduced during exercise
                                                              47
                                                                                                                    47
Specific Aim 1- OSI Rest
 
 
 
 
            Post-Stent          Post-Stent
Pre-Stent                                        Post-Kiss
            Best Case           Worst Case




             0                             0.5
                 Oscillatory Shear Index
                           48
                                                             48
Specific Aim 1- OSI Exercise

 
 
 
 
            Post-Stent       Post-Stent
Pre-Stent                                         Post-Kiss
            Best Case        Worst Case




              0                             0.5
                  Oscillatory Shear Index
                            49
                                                              49
Specific Aim 1- Summary
 
 
 
 
 
 
• Idealized models show the effects of single
  stent implantation on WSS, OSI and
  velocity distribution
• Stenting causes a shift in the carina
  towards the side branch, skewing the
  velocity profile of the main branch
• Post-stenting dilation to shift the carina
  back towards the main branch skews the
  velocity profile away from the carina



                        50
                                                50
Specific Aim 1- Summary (cont.)
 
 
 
• Velocity profiles near the bifurcation are
  therefore influenced by the location of the
  carina
• Stenting introduces areas of low WSS near
  stent struts and opposite the carina that
  are alleviated by exercise
• Stenting introduces areas of high OSI near
  stent struts and opposite the carina that
  are pronounced by exercise



                       51
                                               51
Outline 
 
 
 
 
 
 
 
 
 
 
 
 
 

•   Introduction

•   Methods

•   Specific Aim 1

•   Specific Aim 2

•   Specific Aim 3

•   Discussion

•   Conclusions

•   Next Steps


                    52
                                      52
Specific Aim 2
- Patient Specific Models

• Motivation
• Model Generation
• Stent Creation
• Results
• Summary


                     53
                                          53
Specific Aim 2
- Motivation
• Provide increased physiologic realism
• Support results from first specific aim
• Develop methods for subsequent studies




                     54   Image courtesy of Jon Freeman MD and Ray Migrino MD
                                                                           54
Specific Aim 2 - Model Generation
 
 
A. 64 slice CT angiographic data taken for a human
B. Center paths are drawn through the bifurcated vessel
   images and cross sections are segmented
C. CVSim lofts between the segments to created a geometric
   model of the bifurcated vessel
D. Geometric model is meshed with >1.5 million elements




                                55
                                                             55
Specific Aim 2- Patient Specific Stent Creation




                      56
                                                56
Specific Aim 2- Velocity Rest

 
 
 
 
                      Pre-Stent             Post-Stent

              20
Volume-rendered
 Velocity (cm/s)




               0




                                       57
                                                            57
Specific Aim 2- Velocity Exercise
 
 
 
                       Pre-Stent             Post-Stent

              55
Volume-rendered
 Velocity (cm/s)




               0




                                       58
                                                             58
Specific Aim 2- Patient Specific TAWSS Rest
                          Pre-Stent                 Post-Stent

               20
Time-averaged WSS
   (dynes/cm2)




                0




                                          59
                                                                 59
Specific Aim 2- Patient Specific TAWSS Exercise
                          Pre-Stent                 Post-Stent

               30
Time-averaged WSS
   (dynes/cm2)




                0




                                          60
                                                                    60
Specific Aim 2- Patient Specific OSI Rest

 
                                Pre-Stent                  Post-Stent
Oscillatory Shear Index



                          0.5




                          0




                                                  61
                                                                          61
Specific Aim 2- Patient Specific OSI Exercise
                                Pre-Stent                  Post-Stent
Oscillatory Shear Index



                          0.5




                          0




                                                   62
                                                                           62
Specific Aim 2 - Summary

 
 
 
 
 
• Similar to the idealized models, stenting
  introduces areas of low WSS and high OSI
  around stent struts that is similarly influenced
  by exercise
• Regions of high OSI were less pronounced
  compared to the idealized models
• Stent struts protruding into (i.e. jailing) the
  side branch ostium cause vortices that are
  pronounced during exercise


                         63
                                                    63
Outline 
 
 
 
 
 
 
 
 
 
 
 
 
 

•   Introduction

•   Methods

•   Specific Aim 1

•   Specific Aim 2

•   Specific Aim 3

•   Discussion

•   Conclusions

•   Next Steps


                    64
                                      64
Specific Aim 3
- Implantation Using FEA 
• Motivation
• Model generation
• Results
• Summary




                     65
                                           65
Specific Aim 3
- Motivation
 
 
 
 
 
Wu et al. simulated the
expansion of a stent in a
straight vessel (SV) and
curved vessel (CV)
model.
(Displacement (top) and stress (bottom))

Applying these methods
would allow simulation of
two stent bifurcation
approaches

                                       66   Wu et al. J Biomech. 2007;40(11):2580-2585.
                                                                                          66
Specific Aim 3
- Model Generation
 
 




                   67
                                        67
Specific Aim 3 - Simulation Parameters

     Number of Elements                                 24,000

             Element Type                    8-node Solid 185

            Stent Material        316L annealed stainless steal

                 Modulus                              201 GPa

            Poisons Ratio                                  0.3

          Simulation Time                         100 seconds

     Number of Substeps                                     50
 Pressure Applied to Inner
                                                   2.01*104 Pa
       Surface of the Ring




                             68
                                                                  68
Specific Aim 3
- Results

 
 
 
 
 
 




                   69
                                        69
Specific Aim 3
- Results (cont.)

 
 
 




                    70
                                          70
Specific Aim 3 - Summary

 
 
 
 
 
• Simulated expansion of one macro ring element of
   the Taxus Express2 stent with FEA demonstrates
   feasibility of these methods
• Expansion caused stress concentration in regions of
   curvature within the macro ring element
• Expansion introduced modest “S” curve in straight
   regions of the macro ring elements
• This progress reveals the geometric limitations of the
   stent models used in specific aims 1 and 2




                           71
                                                           71
Outline 
 
 
 
 
 
 
 
 
 
 
 
 
 

•   Introduction

•   Methods

•   Specific Aim 1

•   Specific Aim 2

•   Specific Aim 3

•   Discussion

•   Conclusions

•   Next Steps


                    72
                                      72
Discussion
 
 
 
 
 
 
 
 
 
 
 
 

• Clinical Application to FFR
• Area of Low TAWSS and High OSI
• Limitations of Models
• Novelty of Current Work



                  73
                                      73
Discussion - FFR
 
 
 
 
 
 
 
 
 
                     !quot;#$%&'#()!(&*)+,-,quot;.,)/$quot;&--)01,)234,)5quot;#'$1)
                                       6-%78)
       ,%
    !quot;##%
    !quot;#+%
    !quot;#*%
    !quot;#)%
    !quot;#(%
    !quot;#'%
    !quot;#&%
    !quot;#$%

                                                             0%
                                                             0%




                                                                                                             %
                                                                                         3%
                3%




                                                                           %




                                                                                                          43
                                                                        <66




                                                                                       04
              04




                                                           96
                                      96




                                                                                                       30
                                                                          ;




                                                                                     23
            23




                                                        %8
                                  3%8




                                                                      631




                                                                                                    312
                                                     63




                                                                                    1
         01




                                                                                 /0
                                06




                                                                   .5




                                                                                                  56
                                                   5/
       ./




                                                                                quot;%.
                                 %7




                                                                  -quot;%




                                                                                               quot;%.
                                                3%:
      -quot;%




                              43




                                                                               .quot;2




                                                                                              .quot;2
                           30




                                              04
                            2




                                            23
                        631




                                         631
                     .5




                                      .5
                     -quot;%




                                      -quot;%




Stenting reduces FFR but not to a clinically significant level (0.75)
The worst case orientation decreased FFR most
                                                                  74
                                                                                                                 74
Discussion - TAWSS and OSI
 
 
 
 
• Low TAWSS and high OSI have been
  correlated with restenosis
• Stenting introduces areas of low WSS and
  high OSI near stent struts and near the
  carina
• Therefore, we might expect restenosis to
  occur in those areas




                         75
                                             75
Discussion - Limitations
 
 
 
 
 
 
•   Straight Vessels - Coronary arteries are located on
    the curved surface of the heart

•   Sharp Transitions - Sharp vascular transitions add
    artifact to idealized models

•   Simplified Stent Implantation - Some distortion of
    strut length

•   RCR Boundary Conditions - Time varying resistor
    not included

•   Rigid Walls - Future simulations will include
    deformable walls



                             76
                                                          76
Discussion - Novelty of Current Work
•   Idealized models reproduced clinical observations
    with improved realism allowing for measurement of
    hemodynamic and clinical parameters

•   Results of patient-specific models built upon findings
    of idealized models by adding increased physiologic
    realism

•   FEA simulations of stent expansion helped evaluate
    geometric limitations of the stented models and
    developed tools for future work with patient-
    specific models




                            77
                                                           77
Conclusions
 
 
 
 
 
 
 
 
 
 
 
•   Stenting causes geometric changes to the lumen of the
    vessel which cause increased areas of low TAWSS and high
    OSI

     •   Low TAWSS and high OSI have been shown to
         correlate with restenosis

•   Idealized and patient-specific CFD models of the LAD/D1
    bifurcation site were developed with virtual implantation of
    a common stent used in clinical practice

     •   Implantation technique, stent orientation in the side
         branch ostium, and carina location affect WSS and OSI

•   Methods were also developed to simulate the virtual
    implantation of a stent with FEA


                               78
                                                                   78
Next Steps

 
 
 
 
 
 
 
 
 
 
 
•   Simulate with deformable walls
•   Investigate different stent types and multiple
    stent strategies
•   Investigate the effect of strut orientation in the
    ostium
•   Apply current and future developments to next
    generation bifurcation stent designs




                           79
                                                         79
Acknowledgements 
 
 
 
 
 
 
 
 


  John LaDisa, PhD
  Bon-Kwon Koo, MD, PhD
  Lars Olson, PhD
  Said Audi, PhD
  John Freeman, MD
  Ray Migrino, MD




                      80
                                     80
Questions?


• Thank You



                      81

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Andrew Williams Thesis Defense

  • 1. Quantifying Hemodynamic Changes Caused by Stenting of Coronary Bifurcation Lesions Using Realistic Computational Fluid Dynamics Models November 14, 2008 By Andrew R. Williams, B.S. Committee: John LaDisa, PhD Said Audi, PhD Bon-Kwon Koo, MD PhD Lars Olson, PhD 1 1
  • 2. Outline • Introduction • Methods • Specific Aim 1 • Specific Aim 2 • Specific Aim 3 • Discussion • Conclusions • Next Steps 2 2
  • 3. Introduction - Cardiovascular Disease • 1 in 2.8 deaths in the United States is caused by cardiovascular disease (CVD) • 52% of those deaths are caused by coronary artery disease (CAD) in which fatty deposits form and occlude blood flow to the heart • Risk factors manifest globally and include: • High cholesterol • High Blood pressure • Diabetes mellitus • Smoking 3 AHA Heart Disease and Stroke Statistics 2007 update 3
  • 4. Introduction - Bifurcations • Plaque tends to form locally at • Bends • Branches • Bifurcations Fung Y. Biomechanics: Mech. Properties of Living Tissues. New York: Springer; 1993. 4 4
  • 5. Introduction - Coronary Anatomy 2 1 Major coronary arteries include the: 3 1. Right Coronary Artery (RCA) 2. Left Circumflex (LCX) 3. Left Anterior Descending (LAD) The most common site of bifurcation plaque is the LAD/D1 From Wolf-Heidegger’s Atlas of Human Anatomy. 6th ed. 5 5
  • 6. Introduction - Bifurcation Flow Profile The flow profile after a bifurcation is skewed towards the carina. 6 Courtesy of Eric Gross MD, PhD 6
  • 7. Introduction - Important Indices • Wall shear stress (WSS or τ): The tangential stress imparted onto the walls of a blood vessel as a result of moving fluid • Oscillatory shear index (OSI): OSI quantifies the deviation of WSS from the primary flow direction during the cardiac cycle OSI ranges between 0 (no change in direction) and 0.5 (complete reversal of direction) 7 7
  • 8. Introduction - Coronary Artery Disease Plaque forms at locations of low time averaged wall shear stress (TAWSS) and high oscillatory shear index (OSI) 8 www.nhlbi.nih.gov/health/dci/Diseases/Angioplasty 8
  • 9. Introduction - Stenting • Stenting is the most common method to treat CAD • Procedure involves: A. Position catheter B. Expand the stent C. Remove the catheter • In 2005 in the US, there were 1,265,000 PCI of which 620,000 were stent implantations 9 www.nhlbi.nih.gov/health/dci/Diseases/Angioplasty 9
  • 10. Introduction - Restenosis Over the course of months, 15-20% of stented patients have neointimal hyperplasia growth through and around the stent potentially causing: • redevelopment of the stenosis • an increase in resistance • reduced blood flow Stent geometry is an important factor in restenosis 10 Deplano et al. Med Biol Eng Comput. Sep 2004;42(5):650-659. www.nhlbi.nih.gov/health/dci/Diseases/Angioplasty 10
  • 11. Introduction - Types of Stents Taxus Express2 Taxus Liberte (Boston Scientific) (Boston Scientific) Cypher (Cordis, J&J) 11 11
  • 12. Introduction - Bifurcation Stents MultiLink Frontier (Abbott Vascular) Axxess Plus (Devax) 12 12
  • 13. Introduction - Bifurcation Stenting There are multiple methods to stent bifurcations with traditional stents. Single Stent Method Two Stent Method Adapted from www.angioscore.com 13 13
  • 14. Introduction - Difficulties studying blood flow in vivo Blood flow is therefore important, but • WSS measurement is not part of clinical practice • devices do not have required resolution Velocity and shear rate in a human common carotid artery with ultrasound 14 Katritsis et al. Prog Cardiovasc Dis. Mar-Apr 2007;49(5):307-329. 14
  • 15. Introduction - CFD Computational Fluid Dynamics (CFD) is an advanced simulation tool ideal for studying the local effects of blood flow. Example Model Geometry Requirements: Inflow • Model Geometry • Computational Mesh Wall properties • Inflow Boundary Conditions • Outflow Boundary Outflow Conditions • Wall Properties 15 15
  • 16. Introduction - Previous Work - CFD Stents LaDisa et al. simulated blood flow through a stented model to show that WSS correlated with neointimal hyperplasia in rabit illiacs. Deplano et al. simulated blood flow through a stented bifurcation with zero pressure outlet boundary conditions. 16 LaDisa et al. AJP - Heart Circ Physiol 288: H2465-75, 2005 Deplano et al. Med Biol Eng Comput. Sep 2004;42(5):650-659. 16
  • 17. Introduction - Previous Work (cont.) • CFD bifurcation models with realistic dimensions and physiologic boundary conditions have not been created • Previous CFD studies with stents have used simplified geometries • Treatment-specific changes in coronary bifurcation blood flow have not been studied • Patient-specific models have not included stents previously 17 17
  • 18. Hypothesis Adverse hemodynamic changes are introduced in bifurcation regions by stenting and are influenced by implantation technique, stent orientation, and post-implantation geometry 18 18
  • 19. Specific Aims 1. Create idealized models and simulate blood flow through the LAD/D1 bifurcation pre-stenting, post-stenting, and post-kissing 2. Create patient-specific models and simulate blood flow through the LAD/D1 bifurcation pre- and post-stenting 3. Simulate the expansion of a stent using finite element analysis (FEA) 19 19
  • 20. Outline • Introduction • Methods • Specific Aim 1 • Specific Aim 2 • Specific Aim 3 • Discussion • Conclusions • Next Steps 20 20
  • 21. Methods • Meshing • Inflow Boundary Conditions • Outflow Boundary Conditions • Vessel Wall Properties 21 21
  • 22. Methods - Meshing Meshing discretizes a model into millions of element for which the mass and momentum balance equations are solved 22 22
  • 23. Methods - Inflow Boundary Conditions • An inflow waveform must be defined for at least one face • LaDisa et al. measured blood flow through a canine coronary artery using an ultrasonic flow probe • Resting and elevated blood flow conditions were applied using a Womersley velocity profile 3.500 1.5 3.000 1.2 2.500 Blood Flow (cc/s) 0.9 2.000 Blood Flow (cc/s) 1.500 0.6 1.000 0.3 0.500 0.0 0.000 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.000 0.100 0.200 0.300 0.400 0.500 0.600 Time (s) Time (s) Rest Elevated Blood Flow 23 LaDisa et al. JAP 2002; 93:1939-1946 23
  • 24. Methods - Outlet Boundary Conditions • Input impedance represents the contribution of all vessels distal to an outlet • Coronary input impedance increases during systole constituting a non-linear, time-varying system for which standard frequency analysis is invalid • Van Huis et al. measured the impulse response in the canine LAD under resting conditions circumventing this limitation • These methods neglect the time-varying resistance caused by myocardial contraction • The input impedance can be approximated by a three element Windkessel model with limitations 24 From the SimVascular User Manual 24
  • 25. Outlet Boundary Conditions (cont.) • Rp is the characteristic impedance (Zc): where Cph is wave speed, ρ is density, and r is radius • Rp was calculated for each branch individually 25 Van Huis et al. Am J Physiol. Aug 1987;253(2 Pt 2):H317-324 25
  • 26. Outlet Boundary Conditions (cont.) • Van Huis et al. calculated Rd: • Capacitance is found by using the pulse pressure method of Stergiopulos et al. which iterates the capacitance until the simulation pulse pressure matches physiologic pulse pressure • The mean flow was calculated as the fraction of the total flow going to each branch, assuming WSS auto- regulation or equal WSS at the outlets 26 Van Huis et al. Am J Physiol. Aug 1987;253(2 Pt 2):H317-324 26
  • 27. Outlet Boundary Conditions (cont.) • Elevated blood flow conditions (i.e. exercise or hyperemia) representative of those achieved by continuous intracoronary adenosine infusion were applied • Rp was calculated using a representative wave speed for exercise • Elevated blood flow conditions from LaDisa et al. were imposed • Rd and C were calculated with increased flow and the same pressure 27 Koo et al. Circ. Aug. 2005; 69: 908-912 27
  • 28. Methods - Vessel Wall Properties • No slip assumed • Rigid walls assumed • Later simulations will include deformable walls with different moduli for vessel and stent surfaces 28 28
  • 29. Outline • Introduction • Methods • Specific Aim 1 • Specific Aim 2 • Specific Aim 3 • Discussion • Conclusions • Next Steps 29 29
  • 30. Specific Aim 1 -Idealized models • Motivation • Model generation • Stent Creation • Design parameters • Results • Summary 30 30
  • 31. Specific Aim 1- Motivation Carina Shift Intravascular Ultrasound (IVUS) Data Pre-Stent Post-Stent Post-Kiss 31 Images courtesy of Bon-Kwon Koo, MD, PhD 31
  • 32. Specific Aim 1- Motivation (cont.) • Finet’s Law Empirically derived formula relating parent vessel radius (rp) to the sum of the daughter vessels radii (rdaughter1, rdaughter2) 32 Courtesy of Bon-Kwon Koo, MD PhD Finet et al. EuroInterv. 2007;3. 32
  • 33. Specific Aim 1- Design Parameters 33 Ikeda et al. Jpn Heart J. Sep 1991;32(5):627-633 33
  • 34. Specific Aim 1- Design Parameters (cont.) Crimped Stent Sketch 34 34
  • 35. Specific Aim 1 - Important Indices • Fractional Flow Reserve (FFR) is clinical method to quantify the severity of a stenosis Where QSmax and QNmax are the maximum flows through the stenosed and normal vessels respectively In practice FFR is approximated, where Pd and Pa are the pressure distal and proximal to the stenosis, respectively, during exercise • % Stenosis is the percent change in area measured by angiography 35 Adapted from Bon-Kwon Koo, MD PhD 35
  • 36. Specific Aim 1 - Important Indices (cont.) • Angiographic Severity vs. FFR Severity • FFR Severity does not correlate well with % Why discrepancy???? stenosis. One explanation is that only the minor diameter of the side branch is observed and the major diameter cannot be seen during an angiographic assessment. Why discrepancy???? MB MB MB SB MB SB Major SB SB Diameter Minor Diameter 36 Koo et al. JACC 2005, 46(4) 633-7 Adapted from Bon-Kwon Koo, MD PhD 36
  • 37. Specific Aim 1- Model Generation 37 37
  • 38. Specific Aim 1- Stent Creation 38 38
  • 39. Specific Aim 1- Boolean Subtraction 39 39
  • 40. Specific Aim 1- Resulting Models IVUS Data Resulting Idealized Models Pre-Stent Post-Stent Post-Kiss 40 40
  • 41. Specific Aim 1- Side Branch Jailing Post-Stent Best Case Post-Stent Worst Case Post-Kiss 41 41
  • 42. Specific Aim 1 - Mesh Independence • CFD models were simulated with increasingly refined element density using an adaptive meshing approach • Results were assumed to be mesh independent when TAWSS at 5 locations within the computational domain changed less than 6% (< 0.09 dyn/cm2) between two successive meshes Figure showing faces where WSS was assessed 42 42
  • 43. Specific Aim 1 - Mesh Independence (cont.) Number of Elements In Successive Meshes 43 43
  • 44. Specific Aim 1- Volume Rendered Velocity Pre-Stent Pre-Stent 0 22.5 0 55 Rest (cm/s) Exercise (cm/s) Post-Stent Worst Post-Kiss 0 20 0 20 Rest (cm/s) Rest (cm/s) 44 44
  • 45. Specific Aim 1- TAWSS Resting Post-Stent Post-Stent Pre-Stent Post-Kiss Best Case Worst Case 0 20 Time-averaged WSS (dynes/cm2) 45 45
  • 46. Specific Aim 1- TAWSS Exercise Post-Stent Post-Stent Pre-Stent Post-Kiss Best Case Worst Case 0 30 Time-averaged WSS (dynes/cm2) 46 46
  • 47. Specific Aim 1 - Area with Low WSS *)%()+,quot;-&quot;./)'012)/quot;3-/)0quot;4'00quot;51,6quot;7-5quot;4##quot;quot; 89quot;:quot;/;+)<=(>?@Aquot; #!quot; '#quot; '!quot; &#quot; &!quot; !quot;#$%&'()quot; %#quot; +,2/quot;9:;quot; %!quot; ,<,+=82,9:;quot; $#quot; $!quot; #quot; !quot; ()quot;*+,-./,0/quot; ()quot;*12/-./,0/quot;3,2/quot;452,quot; ()quot;*12/-./,0/quot;61+2/quot; ()quot;*12/-7822quot; 452,quot; Stenting increases area of low WSS Area of low WSS is reduced during exercise 47 47
  • 48. Specific Aim 1- OSI Rest Post-Stent Post-Stent Pre-Stent Post-Kiss Best Case Worst Case 0 0.5 Oscillatory Shear Index 48 48
  • 49. Specific Aim 1- OSI Exercise Post-Stent Post-Stent Pre-Stent Post-Kiss Best Case Worst Case 0 0.5 Oscillatory Shear Index 49 49
  • 50. Specific Aim 1- Summary • Idealized models show the effects of single stent implantation on WSS, OSI and velocity distribution • Stenting causes a shift in the carina towards the side branch, skewing the velocity profile of the main branch • Post-stenting dilation to shift the carina back towards the main branch skews the velocity profile away from the carina 50 50
  • 51. Specific Aim 1- Summary (cont.) • Velocity profiles near the bifurcation are therefore influenced by the location of the carina • Stenting introduces areas of low WSS near stent struts and opposite the carina that are alleviated by exercise • Stenting introduces areas of high OSI near stent struts and opposite the carina that are pronounced by exercise 51 51
  • 52. Outline • Introduction • Methods • Specific Aim 1 • Specific Aim 2 • Specific Aim 3 • Discussion • Conclusions • Next Steps 52 52
  • 53. Specific Aim 2 - Patient Specific Models • Motivation • Model Generation • Stent Creation • Results • Summary 53 53
  • 54. Specific Aim 2 - Motivation • Provide increased physiologic realism • Support results from first specific aim • Develop methods for subsequent studies 54 Image courtesy of Jon Freeman MD and Ray Migrino MD 54
  • 55. Specific Aim 2 - Model Generation A. 64 slice CT angiographic data taken for a human B. Center paths are drawn through the bifurcated vessel images and cross sections are segmented C. CVSim lofts between the segments to created a geometric model of the bifurcated vessel D. Geometric model is meshed with >1.5 million elements 55 55
  • 56. Specific Aim 2- Patient Specific Stent Creation 56 56
  • 57. Specific Aim 2- Velocity Rest Pre-Stent Post-Stent 20 Volume-rendered Velocity (cm/s) 0 57 57
  • 58. Specific Aim 2- Velocity Exercise Pre-Stent Post-Stent 55 Volume-rendered Velocity (cm/s) 0 58 58
  • 59. Specific Aim 2- Patient Specific TAWSS Rest Pre-Stent Post-Stent 20 Time-averaged WSS (dynes/cm2) 0 59 59
  • 60. Specific Aim 2- Patient Specific TAWSS Exercise Pre-Stent Post-Stent 30 Time-averaged WSS (dynes/cm2) 0 60 60
  • 61. Specific Aim 2- Patient Specific OSI Rest Pre-Stent Post-Stent Oscillatory Shear Index 0.5 0 61 61
  • 62. Specific Aim 2- Patient Specific OSI Exercise Pre-Stent Post-Stent Oscillatory Shear Index 0.5 0 62 62
  • 63. Specific Aim 2 - Summary • Similar to the idealized models, stenting introduces areas of low WSS and high OSI around stent struts that is similarly influenced by exercise • Regions of high OSI were less pronounced compared to the idealized models • Stent struts protruding into (i.e. jailing) the side branch ostium cause vortices that are pronounced during exercise 63 63
  • 64. Outline • Introduction • Methods • Specific Aim 1 • Specific Aim 2 • Specific Aim 3 • Discussion • Conclusions • Next Steps 64 64
  • 65. Specific Aim 3 - Implantation Using FEA • Motivation • Model generation • Results • Summary 65 65
  • 66. Specific Aim 3 - Motivation Wu et al. simulated the expansion of a stent in a straight vessel (SV) and curved vessel (CV) model. (Displacement (top) and stress (bottom)) Applying these methods would allow simulation of two stent bifurcation approaches 66 Wu et al. J Biomech. 2007;40(11):2580-2585. 66
  • 67. Specific Aim 3 - Model Generation 67 67
  • 68. Specific Aim 3 - Simulation Parameters Number of Elements 24,000 Element Type 8-node Solid 185 Stent Material 316L annealed stainless steal Modulus 201 GPa Poisons Ratio 0.3 Simulation Time 100 seconds Number of Substeps 50 Pressure Applied to Inner 2.01*104 Pa Surface of the Ring 68 68
  • 69. Specific Aim 3 - Results 69 69
  • 70. Specific Aim 3 - Results (cont.) 70 70
  • 71. Specific Aim 3 - Summary • Simulated expansion of one macro ring element of the Taxus Express2 stent with FEA demonstrates feasibility of these methods • Expansion caused stress concentration in regions of curvature within the macro ring element • Expansion introduced modest “S” curve in straight regions of the macro ring elements • This progress reveals the geometric limitations of the stent models used in specific aims 1 and 2 71 71
  • 72. Outline • Introduction • Methods • Specific Aim 1 • Specific Aim 2 • Specific Aim 3 • Discussion • Conclusions • Next Steps 72 72
  • 73. Discussion • Clinical Application to FFR • Area of Low TAWSS and High OSI • Limitations of Models • Novelty of Current Work 73 73
  • 74. Discussion - FFR !quot;#$%&'#()!(&*)+,-,quot;.,)/$quot;&--)01,)234,)5quot;#'$1) 6-%78) ,% !quot;##% !quot;#+% !quot;#*% !quot;#)% !quot;#(% !quot;#'% !quot;#&% !quot;#$% 0% 0% % 3% 3% % 43 <66 04 04 96 96 30 ; 23 23 %8 3%8 631 312 63 1 01 /0 06 .5 56 5/ ./ quot;%. %7 -quot;% quot;%. 3%: -quot;% 43 .quot;2 .quot;2 30 04 2 23 631 631 .5 .5 -quot;% -quot;% Stenting reduces FFR but not to a clinically significant level (0.75) The worst case orientation decreased FFR most 74 74
  • 75. Discussion - TAWSS and OSI • Low TAWSS and high OSI have been correlated with restenosis • Stenting introduces areas of low WSS and high OSI near stent struts and near the carina • Therefore, we might expect restenosis to occur in those areas 75 75
  • 76. Discussion - Limitations • Straight Vessels - Coronary arteries are located on the curved surface of the heart • Sharp Transitions - Sharp vascular transitions add artifact to idealized models • Simplified Stent Implantation - Some distortion of strut length • RCR Boundary Conditions - Time varying resistor not included • Rigid Walls - Future simulations will include deformable walls 76 76
  • 77. Discussion - Novelty of Current Work • Idealized models reproduced clinical observations with improved realism allowing for measurement of hemodynamic and clinical parameters • Results of patient-specific models built upon findings of idealized models by adding increased physiologic realism • FEA simulations of stent expansion helped evaluate geometric limitations of the stented models and developed tools for future work with patient- specific models 77 77
  • 78. Conclusions • Stenting causes geometric changes to the lumen of the vessel which cause increased areas of low TAWSS and high OSI • Low TAWSS and high OSI have been shown to correlate with restenosis • Idealized and patient-specific CFD models of the LAD/D1 bifurcation site were developed with virtual implantation of a common stent used in clinical practice • Implantation technique, stent orientation in the side branch ostium, and carina location affect WSS and OSI • Methods were also developed to simulate the virtual implantation of a stent with FEA 78 78
  • 79. Next Steps • Simulate with deformable walls • Investigate different stent types and multiple stent strategies • Investigate the effect of strut orientation in the ostium • Apply current and future developments to next generation bifurcation stent designs 79 79
  • 80. Acknowledgements John LaDisa, PhD Bon-Kwon Koo, MD, PhD Lars Olson, PhD Said Audi, PhD John Freeman, MD Ray Migrino, MD 80 80