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Relationship Between Neointimal Thickness and Shear Stress After Wallstent Implantation in Human Coronary Arteries Jolanda J. Wentzel, PhD; Rob Krams, MD, PhD; Johan C.H. Schuurbiers, BSc; Jan A. Oomen, MSc; Jeroen Kloet, MSc; Willem J. van der Giessen, MD, PhD; Patrick W. Serruys, MD, PhD; Cornelis J. Slager, PhD Background—In-stent restenosis by excessive intimal hyperplasia reduces the long-term clinical efficacy of coronary stents. Because shear stress (SS) is related to plaque growth in atherosclerosis, we investigated whether variations in SS distribution are related to variations in neointima formation. Methods and Results—In 14 patients, at 6-month follow-up after coronary Wallstent implantation, 3D stent and vessel reconstruction was performed with a combined angiographic and intravascular ultrasound technique (ANGUS). The bare stent reconstruction was used to calculate in-stent SS at implantation, applying computational fluid dynamics. The flow was selected to deliver an average SS of 1.5 N/m 2 . SS and neointimal thickness (Th) values were obtained with a resolution of 90° in the circumferential and 2.5 mm in the longitudinal direction. For each vessel, the relationship between Th and SS was obtained by linear regression analysis. Averaging the individual slopes and intercepts of the regression lines summarized the overall relationship. Average Th was 0.4460.20 mm. Th was inversely related to SS: Th5(0.5960.24)2(0.0860.10)3SS (mm) (P,0.05). Conclusions—These data show for the first time in vivo that the Th variations in Wallstents at 6-month follow-up are inversely related to the relative SS distribution. These findings support a hemodynamic mechanism underlying in-stent neointimal hyperplasia formation. (Circulation. 2001;103:1740-1745.) Key Words: stents n restenosis n coronary disease n stress S tents have been shown to reduce restenosis by preventing the artery from arterial shrinkage (negative remodeling). However, excessive neointima formation may still be ob- served, causing renarrowing of the treated arteries. 1,2 Neointima formation is often observed at specific locations in the stented segment. 3 A number of risk factors, such as thrombus formation 4 and endothelial dysfunction, 5 are related to restenosis, but their relationship with a specific intima hyperplasia distribution is unknown. Localizing factors that have been studied include plaque burden 6,7 and wall stress. 8 In the present study, we focus on the role of shear stress (SS). SS plays an important role in growth-related processes. 9,10 For instance, low SS regions in vascular bypass grafts show increased neointimal growth. 11 To study localization patterns of SS and neointimal thick- ness (Th), we applied a recently developed technique that combines a 3D reconstruction technique (ANGUS 12 ) with computational fluid dynamics. Our aim was to investigate the relationship between local variations in SS and Th after stent placement to evaluate the hypothesis that low SS locations show more neointimal growth than locations with high SS. Methods Patients Fourteen patients were studied 6 months after implantation of a coronary Wallstent (Schneider AG). Only patients with ,3 major side branches in the stented segment were included in the present study. Table 1 reports the demographic parameters and risk factors of the patient population. Written informed consent was obtained from every patient to participate in this study, which was approved by the institutional medical ethics committee. 3D Reconstruction 3D reconstruction of the coronary arteries was performed by apply- ing a combination of ANGiography and intravascular UltraSound (ANGUS). 12 A detailed description of the 3D reconstruction method has been presented elsewhere. 12 Briefly, a sheath-based intravascular ultrasound (IVUS) catheter (CVIS 2.9F) was positioned distally from the stented vessel segment and was filmed with a biplane angio- graphic system (Siemens, Bicor) just after the start of pullback. To eliminate respiratory and cardiac motion artifacts, a single biplane view at end diastole of the catheter position was selected and digitized. From the biplane views, the transducer path was recon- structed in 3D space. 12 In addition, (IVUS) images were collected at end diastole with an ECG-triggered, motorized pullback operating Received October 18, 2000; revision received December 7, 2000; accepted December 15, 2000. From the Department of Cardiology (J.J.W., R.K., J.C.H.S., J.A.O., J.K., W.J.v.d.G., P.W.S., C.J.S.), Thoraxcenter, Erasmus Medical Centre Rotterdam and Erasmus University Rotterdam, and the Interuniversity Cardiology Institute of the Netherlands (J.J.W.), Utrecht, the Netherlands. Correspondence to C.J. Slager, PhD, Thoraxcenter, EE2322, Erasmus University Rotterdam, PO Box 1738, 3000 DR Rotterdam, the Netherlands. E-mail [email protected] © 2001 American Heart Association, Inc. Circulation is available at http://www.circulationaha.org 1740 by guest on February 11, 2016 http://circ.ahajournals.org/ Downloaded from
Transcript

Relationship Between Neointimal Thickness and ShearStress After Wallstent Implantation in Human

Coronary ArteriesJolanda J. Wentzel, PhD; Rob Krams, MD, PhD; Johan C.H. Schuurbiers, BSc; Jan A. Oomen, MSc;

Jeroen Kloet, MSc; Willem J. van der Giessen, MD, PhD;Patrick W. Serruys, MD, PhD; Cornelis J. Slager, PhD

Background—In-stent restenosis by excessive intimal hyperplasia reduces the long-term clinical efficacy of coronarystents. Because shear stress (SS) is related to plaque growth in atherosclerosis, we investigated whether variations in SSdistribution are related to variations in neointima formation.

Methods and Results—In 14 patients, at 6-month follow-up after coronary Wallstent implantation, 3D stent and vesselreconstruction was performed with a combined angiographic and intravascular ultrasound technique (ANGUS). Thebare stent reconstruction was used to calculate in-stent SS at implantation, applying computational fluid dynamics. Theflow was selected to deliver an average SS of 1.5 N/m2. SS and neointimal thickness (Th) values were obtained witha resolution of 90° in the circumferential and 2.5 mm in the longitudinal direction. For each vessel, the relationshipbetween Th and SS was obtained by linear regression analysis. Averaging the individual slopes and intercepts of theregression lines summarized the overall relationship. Average Th was 0.4460.20 mm. Th was inversely related to SS:Th5(0.5960.24)2(0.0860.10)3SS (mm) (P,0.05).

Conclusions—These data show for the first time in vivo that the Th variations in Wallstents at 6-month follow-up areinversely related to the relative SS distribution. These findings support a hemodynamic mechanism underlying in-stentneointimal hyperplasia formation.(Circulation. 2001;103:1740-1745.)

Key Words: stentsn restenosisn coronary diseasen stress

Stents have been shown to reduce restenosis by preventingthe artery from arterial shrinkage (negative remodeling).

However, excessive neointima formation may still be ob-served, causing renarrowing of the treated arteries.1,2

Neointima formation is often observed at specific locationsin the stented segment.3 A number of risk factors, such asthrombus formation4 and endothelial dysfunction,5 are relatedto restenosis, but their relationship with a specific intimahyperplasia distribution is unknown. Localizing factors thathave been studied include plaque burden6,7 and wall stress.8

In the present study, we focus on the role of shear stress (SS).SS plays an important role in growth-related processes.9,10

For instance, low SS regions in vascular bypass grafts showincreased neointimal growth.11

To study localization patterns of SS and neointimal thick-ness (Th), we applied a recently developed technique thatcombines a 3D reconstruction technique (ANGUS12) withcomputational fluid dynamics. Our aim was to investigate therelationship between local variations in SS and Th after stentplacement to evaluate the hypothesis that low SS locationsshow more neointimal growth than locations with high SS.

MethodsPatientsFourteen patients were studied 6 months after implantation of acoronary Wallstent (Schneider AG). Only patients with,3 majorside branches in the stented segment were included in the presentstudy. Table 1 reports the demographic parameters and risk factors ofthe patient population. Written informed consent was obtained fromevery patient to participate in this study, which was approved by theinstitutional medical ethics committee.

3D Reconstruction3D reconstruction of the coronary arteries was performed by apply-ing a combination of ANGiography and intravascular UltraSound(ANGUS).12 A detailed description of the 3D reconstruction methodhas been presented elsewhere.12 Briefly, a sheath-based intravascularultrasound (IVUS) catheter (CVIS 2.9F) was positioned distally fromthe stented vessel segment and was filmed with a biplane angio-graphic system (Siemens, Bicor) just after the start of pullback. Toeliminate respiratory and cardiac motion artifacts, a single biplaneview at end diastole of the catheter position was selected anddigitized. From the biplane views, the transducer path was recon-structed in 3D space.12 In addition, (IVUS) images were collected atend diastole with an ECG-triggered, motorized pullback operating

Received October 18, 2000; revision received December 7, 2000; accepted December 15, 2000.From the Department of Cardiology (J.J.W., R.K., J.C.H.S., J.A.O., J.K., W.J.v.d.G., P.W.S., C.J.S.), Thoraxcenter, Erasmus Medical Centre Rotterdam

and Erasmus University Rotterdam, and the Interuniversity Cardiology Institute of the Netherlands (J.J.W.), Utrecht, the Netherlands.Correspondence to C.J. Slager, PhD, Thoraxcenter, EE2322, Erasmus University Rotterdam, PO Box 1738, 3000 DR Rotterdam, the Netherlands.

E-mail [email protected]© 2001 American Heart Association, Inc.

Circulation is available at http://www.circulationaha.org

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with a step size of 0.5 mm (TomTec). Subsequently, the frames weredigitized and analyzed with a semiautomatic contour-detectionprogram.13 Output of the program consisted of lumen contours,signifying the blood-vessel interface, and stent contours, represent-ing the stent-neointima interface. Figure 1A displays these respectiveborders.

Subsequently, the lumen contours were filtered and positionedperpendicularly onto the reconstructed 3D catheter path, whichserved as a backbone for the reconstruction. The same procedure wasperformed for the stent contours only. The angular position of theultrasound transducer, and thus of the ultrasound images, wasdetermined from a comparison between simulated silhouette imagesderived from the 3D stent reconstruction with the actual coronarystent angiogram.12 Finally, two 3D reconstructions were obtainedfrom (1) the coronary vessel lumen and (2) the stent contours only.The 3D reconstruction of the stent was used as the approximatelumen after stenting to calculate SS at the stent surface.

Computational Fluid DynamicsFor SS calculations, the nonlinear, incompressible 3D Navier Stokesequations need to be solved. For this purpose, a well-validatedfinite-element software package (Sepran, Sepra) was used, whichwas implemented on a workstation (Hewlett Packard 715/80). Forapplication of such a finite-element method, it is necessary tosubdivide the 3D space into bricks (“mesh generation”) and to defineappropriate boundary conditions.

Mesh GenerationTo generate a mesh of the 3D reconstructed lumen, the vessel wasaxially divided into'100 cross sections (axial resolution 0.2 to 0.9mm). Each cross section contained 32 bricklike elements, eachcovering a cross-sectional surface ranging from 0.05 to 0.83 mm2,with the highest resolution near the wall. Each element contained 27nodes. The same procedure was applied to the 3D reconstruction ofthe stent. The axial resolution of the mesh in the stent was equal tothe resolution of the mesh in the lumen.

Boundary Conditions and Numerical SolutionThe Navier Stokes equations were implemented in each node of themesh. The nonlinear convective terms in these equations werelinearized by a Newton-Raphson method. To obtain the pressureunknowns, a penalty-function approach was used. In combinationwith the boundary conditions, the differential equations were solvedwith a numerical accuracy of 0.1 mm/s by applying a direct-profilemethod.14 We used the following assumptions and boundaryconditions.

We assumed that blood behaves as a Newtonian fluid with aviscosity of 331023 Pazs and a density of 1050 kg/m3. Because ouraim was to investigate the distribution of SS variations, this assump-tion would not affect our results.15 At the wall, no-slip conditionswere applied, and at the outflow, zero-stress conditions were applied.Because the diameter of the stented vessel segment will generally berestored to normal dimensions, it was assumed that a normal valuefor SS, ie, 1.5 N/m2, would be obtained.16,17 Therefore, the selectedentrance flow to induce this average SS in each stent reconstructionwas calculated from the Poisseuille formula and the average stentdiameter. As a first numerical calculation, this entrance flow wasapplied to the proximal lumen of the artery, with a parabolic profile,to obtain the velocity profiles in the lumen of the artery. Second,from the obtained 3D velocity profiles in the lumen at the entranceof the stent, the entrance velocity profile to be used for the bare stentreconstruction was derived (Figure 1B). For this purpose, the profilewas magnified in area and shape to fit the stent entrance, whilemaintaining the previously determined flow. Only the latter entrancecondition determined the SS at the surface of the stent used in thepresent study.

Analysis of Th and SSOnly the stented vessel segments were analyzed. The locations ofside branches were selected with the help of the IVUS data, and crosssections containing the side branch, as well as adjacent segmentswith a length equal to the diameter of the side branch, were removedfrom our data set. Furthermore, a part of the entrance and exit of thestent, covering a length of 1 stent diameter, was excluded from thedata set. This minimized the influence of the inflow velocity profile,as well as of the outflow conditions, on our results. The followingparameters, based on either the 3D vessel geometry or 3D velocitycalculations, were calculated with in-house developed softwareimplemented in Matlab (Mathworks Inc).

The location of the inner and outer curve of the 3D reconstructionswas calculated with a plane fitted through all points of the geometriccenters of the lumen. In each cross-sectional IVUS plane, the vectorpassing through the center of mass and parallel to the fitted planeindicated the inner and outer vessel wall, respectively.

For each cross section, the distance between lumen and stentcontours determined Th at 16 locations over the vessel circumfer-ence. The Th was filtered in the axial and circumferential directionby a 535-point moving average filter. For each cross section, theminimal and maximal Th was determined, and their location wascompared with the location of the outer and inner curve.

For the cross sections near the stent edges, the Th was calculatedand filtered as described previously. Average Th at the edges wascompared with thickness in the remaining part of the stent.

SS at the stent surface was calculated from the product of the localvelocity gradient at the wall and viscosity. The SS values were alsofiltered by application of a 535-point moving average filter. Foreach cross section, the minimal and maximal SSs were determined,

TABLE 1. Demographic Parameters and Risk Factors

Number of vessels 14

Age, y 63611

Sex 8M, 6F

Hypercholesterolemia (previous .6.5 mmol/L) 5

Smoking (previous/current) 8

Hypertension 4

Hematocrit, U 0.3860.04

RCA 5

LAD 7

LCx 2

Diabetes mellitus 2

RCA indicates right coronary artery; LAD, left anterior descending coronaryartery; and LCx, left circumflex coronary artery.

Figure 1. A, Longitudinal overview of vessel indicating selectedborder information obtained from IVUS. B, Determination ofinflow profile for computational fluid dynamics in 3D reconstruc-tion of stent, as derived from local lumen inflow profile.

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and their location was compared with the location of the inner andouter curve.

The ratio of the maximal to the minimal value of the Th and SS ateach cross section was used as an asymmetry index. For each artery,the average of the local asymmetry indexes was calculated.

StatisticsA paired t test was used to compare average Th at the stent edgeswith the average thickness of the central part. The relationshipbetween SS and Th, for each vessel separately, was studied by linearregression analysis. Averaging the obtained individual slopes andintercepts summarized the relationship between Th and SS. Student’st test or univariate regression analysis was used to test the influenceof the demographic parameters and risk factors on the slope of therelationship between Th and SS, average Th, and the asymmetryindex for Th. A P value of ,0.05 was considered significant. Allvalues were expressed as mean6SD. SPSS version 8.0 was used forall statistical calculations.

ResultsFor all patients, 3D reconstruction of the coronary arteriesand stents was performed successfully. Figure 2 shows a 3Dreconstruction of a right coronary artery 6 months afterWallstent implantation, showing vessel lumen and vesselwall. Table 2 shows angiographic data of the patients beforeand after stent implantation and at follow-up. During thefollow-up period, the stent length decreased by 2.7% (pairedt test,P,0.05).

Neointimal ThicknessThe Th for the entire group of patients was 0.4460.13 mm.Figure 3 shows an example of a 2D map of Th from which theasymmetrical pattern can be clearly observed. The average ofthe minimal and maximal Th for the entire group of vesselswas 0.3060.10 and 0.5860.16 mm (P,0.05), respectively.

The average of all asymmetry indexes was 2.0460.36, beingdifferent from 1 (P,0.05). The average Th at the stententrance (0.4360.20 mm) was not different from that at themid part (0.4460.12 mm) or at the exit of the stent(0.4560.13 mm) (pairedt test,P5NS).

Male patients tended to have greater Th (0.5060.12 mm)than female patients (0.3760.11 mm,P50.055), whereas Thwas inversely related to the age of the patient [Th5(0.8460.19)2(6.43102362.931023)3age mm;P50.049].

Shear StressThe average SS for the entire group of vessels was 1.9960.24 N/m2. Figure 4 shows a 2D map of the SS correspondingto the example shown in Figure 3. For the entire group ofpatients, the averages of minimal and maximal SS valueswere, respectively, 1.3960.27 and 2.5760.55 N/m2

(P,0.05). The average of the asymmetry indexes was equalto 2.1260.96, being different from 1 (P,0.05).

Th Related to SSFor 9 of 14 vessels, an inverse relation (r50.04 to 0.65)between Th and SS was observed (Figure 5). Intimal thick-ness at the low SS locations was higher than at the high SSlocations (P,0.05). The average relationship between Th and

Figure 3. 2D map of Th of human coronary artery shown in Fig-ure 2. Left to right: vessel circumference. Bottom to top: proxi-mal to distal axial vessel location.

Figure 2. A, Angiogram of stented right coronary artery. B, 3DANGUS reconstruction of right coronary artery showing vessellumen and wall.

TABLE 2. Angiographic Parameters

Mean diameter post 3.2360.33 mm

MLD pre 0.9360.34 mm

MLD post 2.9260.31 mm

MLD follow-up 1.8360.51 mm

Stent length post 19.7867.41 mm

Stent length follow-up 19.2467.28 mm

MLD indicates minimal luminal diameter; pre, before stent implantation; andpost, after stent implantation.

Figure 4. 2D map of SS of human coronary artery shown in Fig-ures 2 and 3. Left to right: vessel circumference. Bottom to top:proximal to distal axial vessel location.

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SS was Th5(0.5960.24)2(0.0860.10)3SS mm (P,0.05;95% CI slope20.14 and20.02; intercept 0.45 and 0.72). Ofall the tested parameters and risk factors, only a history ofhypercholesterolemia affected this relationship. For patientswithout such history (n59), the relationship wasTh5(0.6960.19)2(0.1260.10)3SS mm (P,0.05; 95% CIslope 20.18 and20.05; intercept 0.57 and 0.81) and forpatients with a history of hypercholesterolemia (n55), it wasTh5(0.4060.23)2(0.00760.06)3SS mm (P5NS; 95% CIslope20.05 and 0.06; intercept 0.2 and 0.6).

The geometric relationship between Th and SS can beappreciated from a presentation of the location of the lesionsand of the location of low or high SS in relation to vessel

geometry. Figure 6A shows the distribution of the differencein angle between the location of the inner curve and thelocation of the maximal Th in the cross-sectional plane. InFigure 6B, a similar graph is displayed for the minimal SSlocation related to the location of the inner curve. A combined3D view of these data (Figure 6E) revealed that the maximalTh was preferentially located near the inner curve of thecoronary artery, where the minimal SS was also observed.Similarly, the minimal Th was more frequently detected inthe outer curve (Figure 6C), which is primarily where themaximal SS was also located (Figure 6D). The latter corre-spondence in location was less pronounced than the former,as can also be appreciated from Figure 6F.

DiscussionAlthough neointimal hyperplasia was moderate in the presentstudy, a significant asymmetry in its cross-sectional distribu-tion was observed. Neither the average neointimal hyperpla-sia nor its asymmetrical distribution could be explained bywell-accepted risk factors. However, neointimal hyperplasiadistribution was related to SS distribution, such that com-pared with average values, low SS regions were accompaniedby maximal intimal thickness and high SS regions by mini-mal Th.

Neointimal ThicknessThe observed average Th of 0.44 mm implies a diameter lossof 0.88 mm, which is comparable to our observed 1.09 mmangiographic change in minimal luminal diameter. Other

Figure 5. Relation between Th and SS for each individual ves-sel. Dashed lines: history of hypercholesterolemia; thick dashedline: average relationship between Th and SS.

Figure 6. A, Location of maximal Th relative to location of inner curve (IC). B, Location of minimal SS relative to location of inner curve.C, Location of minimal Th relative to location of outer curve (OC). D, Location of maximal SS relative to location of outer curve. E, 3Dhistogram showing location of maximal Th relative to location of inner curve and location of minimal SS relative to location of innercurve as determined for all cross sections. F, 3D histogram showing location of minimal Th relative to location of outer curve and loca-tion of maximal SS relative to location of outer curve as determined for all cross sections.

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studies of Wallstent implantation in native human coronariesreported a late loss of 0.7860.61 mm.18,19

The similarity in Th at the edges and the mid part of thestent is in contrast to observations in the Palmaz Schatz stent,where more neointima formation was observed at the edgesand in the middle near the articulation.20 These differencesmay be caused by the differences in stent design, such as theexistence of an articulation in the Palmaz Schatz stent.20

Shear StressThe average SS in the bare stents derived from the fluiddynamic finite-element calculations was 1.99 N/m2. This isabove the aimed level of 1.5 N/m2. Variations in the actualdiameters, together with the third-order power relation be-tween SS and diameter, explain the above finding. In thepresent study, the relationship between Th and SS is inves-tigated in a relative sense, ie, high SS regions are comparedwith low SS regions. In previous work,21 we showed that fora wide variety of flow entrance conditions, the same distri-bution pattern of low and high SS regions was found.Therefore, we do not expect that the choice for the entranceflow conditions, based on the average SS values to beexpected,17 will affect the inverse relation of neointimalvariation versus SS distribution.

Relation Between SS and ThFactors thought to be responsible for neointima formation aremostly systemic in nature and are not likely to be responsiblefor the observed asymmetrical pattern in neointima forma-tion. Indeed, in the present study, no relationship between thedemographic factors and the asymmetry index for neointimawas observed, and thus, local factors must be involved in thisprocess. In the present study, SS is proposed as such a localfactor.

From a global observation of our geometrical data (Figure6), it became apparent that SS and neointimal asymmetrywere interrelated. However, in contrast to earlier work,21 inthe present study we also wanted to investigate the relationbetween SS and intimal thickness variations in the axialvessel direction. Indeed, this extension appeared to be crucialto reach statistically significant results. Therefore, the studyof only the cross-sectional data will underestimate the impor-tance of SS in relation to Th, particularly in this population ofstented patients. This probably has to do with axial SSvariations within the stent, as has been presentedpreviously.22

The observed relation between relative SS distribution andTh distribution shows similarity with results of animal studiesof neointima formation in bypass grafts.11,23 In these studies,SS was measured in a global way. Low SS was related toneointimal growth,11 and high SS inhibited neointimaformation.11,23

Wall stress is another local factor that may influence Th. Itis sensed by the arterial wall, and in normal arteries, the wallthickness adapts to the local radius to control wall stress.Whether variations in wall stress exerted by the stent caninfluence wall asymmetrical thickening is not clear. Vorwerket al8 showed that differences in radial force of a Wallstentdid not influence neointimal hyperplasia formation. We

reasoned that for stability, average force exerted by a stent onthe wall of the inner curve must equal average force exertedon the outer wall. The outer surface wall area slightly exceedsthe inner wall area, and therefore we expect the wall stressdifference between the outer and inner walls to differ by theratio of these areas. In our range of curvatures and vesseldiameters, we estimate this difference as,10%, which is farless than the observed difference in SS between inner andouter curves (by a factor of 2). In addition, because theobserved relation between vessel wall thickness and wallstress24 is linear, we do not expect that a 10% wall stressvariation will produce a 100% variation in neointimalhyperplasia.

Another often-described local risk factor for local promo-tion of neointimal hyperplasia is the persistent plaque burdencovered by the stent.6,7 However, previous studies only reporton the relationship between cross-sectional area of the plaqueburden and cross-sectional area of the neointima formation.6,7

No data exist as to whether the asymmetries in neointimalformation may be explained by the eccentricity of thepersistent plaque burden. This subject warrants further studybecause in eccentric lesions, a confounding factor, such asprogression of atherosclerosis at the low SS21 side, may bepresent. In contrast with this, the balloon-induced damageand healing response may be located opposite of the plaque atthe remaining free wall.

Of the investigated parameters and risk factors, only ahistory of hypercholesterolemia was found to abolish theslope of the relationship between Th and SS, whereas meanTh was not different. Although we did not intend to investi-gate this subject when we designed the present study, wethought the reporting of this post hoc finding to be relevantfor future research in this area. From animal and patientstudies, it is known that SS-dependent endothelial functionsinvolved in neointima formation, such as nitric oxide andendothelin production,25,26 are influenced by hypercholester-olemia. However, because the majority of the patients re-ceived cholesterol-lowering drugs to normalize cholesterollevels after enrollment in this study, this does not explain theobserved difference. Whether the history of hypercholester-olemia may be related to long-term persistent changes inendothelial cell phenotype is unknown, and further studies arewarranted in this area.

Limitations of the StudyIn this study, only patients with intermediate neointimaformation and no restenosis could be studied, because thestepped IVUS pullback device could only be applied for thosepatients. Therefore, our results could be biased and onlyconcern mildly neointimal hyperplasia.

In this study, no flow measurements were performed.Therefore, it was not possible to evaluate the effects ofabsolute differences in SS levels between patients.

For the 3D reconstruction of the stents and subsequentcomputational fluid dynamics, only vessel geometries at 6months were available. Therefore, changes in geometry overthe follow-up period might have influenced our results.However, the observed 3% change in stent length is relatively

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small. Furthermore, it is not likely that this minor change isresponsible for the observed asymmetrical pattern in Th.

ConclusionsThe variations in Th in Wallstents evaluated at 6-monthfollow-up after implantation are inversely related to therelative SS distribution. These findings support a hemody-namic mechanism contributing to the process of in-stentneointimal hyperplasia formation.

AcknowledgmentFinancial support of the Interuniversity Cardiology Institute of theNetherlands for Dr Wentzel is gratefully acknowledged.

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