Plaque Composition as a Predictor of Plaque Ulceration in Carotid Artery Atherosclerosis: The Plaque At RISK Study

Abstract

BACKGROUND AND PURPOSE: Plaque ulceration is a marker of previous plaque rupture. We studied the association between atherosclerotic plaque composition at baseline and plaque ulceration at baseline and follow-up.

MATERIALS AND METHODS: We included symptomatic patients with a carotid stenosis of <70% who underwent MDCTA and MR imaging at baseline (n = 180). MDCTA was repeated at 2 years (n = 73). We assessed the presence of ulceration using MDCTA. Baseline MR imaging was used to assess the vessel wall volume and the presence and volume of plaque components (intraplaque hemorrhage, lipid-rich necrotic core, and calcifications) and the fibrous cap status. Associations at baseline were evaluated with binary logistic regression and reported with an OR and its 95% CI. Simple statistical testing was performed in the follow-up analysis.

RESULTS: At baseline, the prevalence of plaque ulceration was 27% (49/180). Increased wall volume (OR = 12.1; 95% CI, 3.5–42.0), higher relative lipid-rich necrotic core (OR = 1.7; 95% CI, 1.3–2.2), higher relative intraplaque hemorrhage volume (OR = 1.7; 95% CI, 1.3–2.2), and a thin-or-ruptured fibrous cap (OR = 3.4; 95% CI, 1.7–6.7) were associated with the presence of ulcerations at baseline. In 8% (6/73) of the patients, a new ulcer developed. Plaques with a new ulceration at follow-up had at baseline a larger wall volume (1.04 cm³ [IQR, 0.97–1.16 cm³] versus 0.86 cm³ [IQR, 0.73–1.00 cm³]; P = .029), a larger relative lipid-rich necrotic core volume (23% [IQR, 13–31%] versus 2% [IQR, 0–14%]; P = .002), and a larger relative intraplaque hemorrhage volume (14% [IQR, 8–24%] versus 0% [IQR, 0–5%]; P < .001).

CONCLUSIONS: Large atherosclerotic plaques and plaques with intraplaque hemorrhage and lipid-rich necrotic cores were associated with plaque ulcerations at baseline and follow-up.

ABBREVIATIONS:

AUC: area under the curve
IPH: intraplaque hemorrhage
IQR: interquartile range
LRNC: lipid-rich necrotic core
TRFC: thick versus thin-or-ruptured fibrous cap

Atherosclerosis in the carotid arteries is one of the leading causes of ischemic stroke with arterio-arterial embolism as the main mechanism.^1,2 The degree of lumen stenosis and the symptomatic status of the patient are currently used for risk assessment and treatment decision-making.^3,4 Patients with severe (≥70%) and moderate (50%–69%) carotid artery stenosis benefit from carotid endarterectomy; however, the number needed to treat to prevent recurrent stroke is relatively high.⁵ Moreover, almost half of neurologic events occur in patients with a low degree of stenosis.^6,7 This finding has triggered investigations into other markers that may help to identify patients with a high risk of recurrent stroke. Much attention has been paid to markers of atherosclerosis, like plaque composition and plaque ulceration, with the aim of identifying vulnerable plaques.⁸ These vulnerable plaques have a high risk of rupture, which results in thrombus formation and embolization of plaque material and/or thrombus migrating into the intracranial circulation, thereby causing vascular occlusion and a subsequent ischemic stroke.²

Plaque composition is predictive of future cerebrovascular events.^9⇓⇓-12 Atherosclerotic plaque ulceration, visible as plaque-surface disruption, which is a marker of previous plaque rupture, is also correlated with recurrent symptoms and associated with a higher risk of ischemic stroke.^13,14 However, the relation between vulnerable plaque components and plaque rupture is rarely investigated. Both plaque composition and ulceration can be assessed in vivo with different imaging modalities, but MR imaging is the best technique to assess plaque composition due to its superior soft-tissue contrast,¹⁵ whereas MDCTA exceeds MR imaging in the detection of plaque ulcerations due to its excellent spatial resolution with the possibility of multiplanar reconstruction.^16,17

Most previous studies investigated the relation between plaque ulcerations and plaque features using a cross-sectional study design. Generally, it was found that intraplaque hemorrhage (IPH), large lipid-rich necrotic core (LRNC), and thinning or ruptured fibrous cap were associated with the presence of ulcerations,^18⇓⇓-21 while the presence of calcifications was inversely related to ulcerations.¹⁹ A prospective study in asymptomatic patients with severe carotid artery stenosis revealed that LRNC volume was a predictor of new surface disruption.^22,23 The aim of the current study was to investigate, in symptomatic patients with mild-to-moderate (30%–69%) carotid artery stenosis, which plaque components at baseline are predictive of plaque rupture at follow-up.

MATERIALS AND METHODS

Study Population

This study is a substudy of the Plaque At RISK (PARISK) study (clinicaltrials.gov NCT01208025); details of the study design have been previously described in the study-design article.²⁴ The PARISK study is a Dutch prospective, multicenter cohort study aimed at identifying patients with mild-to-moderate carotid artery stenosis with an increased risk of recurrent stroke by noninvasive plaque imaging.

From September 2010 to December 2014, we included 240 patients with recent (<3 months) TIA, amaurosis fugax, or minor stroke due to ischemia in the territory of the carotid artery and 30%–69% ipsilateral carotid artery stenosis who were not scheduled for carotid endarterectomy. The degree of lumen stenosis was determined with Doppler ultrasonography or MDCTA. The upper cutoff value of 69% was based on the North American Symptomatic Endarterectomy Trial (NASCET) criteria.²⁵ The lower cutoff value was an atherosclerotic plaque with a thickness of at least 2–3 mm, which corresponds to European Carotid Surgery Trial (ECST) stenosis of approximately 30%.³

Noninvasive plaque imaging (Doppler ultrasonography, MDCTA, MR imaging) was scheduled in all patients at baseline. The follow-up imaging was scheduled in 118 patients. For the cross-sectional analysis, we selected patients who underwent both MDCTA and MR imaging at baseline. For the prospective analysis, we selected patients who, in addition to baseline MDCTA and MR imaging, underwent MDCTA at follow-up.

The study was approved by the institutional medical ethics committees of all participating centers (Erasmus University Medical Center Rotterdam, Maastricht University Medical Center, University Medical Center Amsterdam, University Medical Center Utrecht). Written informed consent was obtained from each participant before enrollment.

Cardiovascular Risk Factors at Baseline

Body mass index was recorded. Hypertension was defined as a systolic blood pressure of >140 mm Hg or a diastolic blood pressure of >90 mm Hg with at least 15 minutes of continuous noninvasive blood pressure measurement or treatment with antihypertensive medication. Hypercholesterolemia was defined as fasting total cholesterol of >5 mmol/L or the use of cholesterol-lowering medication. Diabetes mellitus was defined as a fasting serum glucose level of >6.9 mmol/L, a 2-hour post-load glucose level of >11.0 mmol/L, or the use of antidiabetic medication. Smoking status was assessed at the time of the TIA or ischemic stroke and divided in 2 categories: current smoker or not a current smoker.

MDCTA Data Acquisition and Analysis

We performed image acquisition using a standardized protocol, as previously described in the study-design article.²⁴ MDCTA of the carotid artery was performed if no contraindications for MDCTA were present (glomerular filtration rate, <60 mL/min; a documented allergy to MDCTA contrast media). All MDCTA images were transferred to a workstation equipped with dedicated 3D analysis software (syngo.via; Siemens). The multiplanar reformatting application allowed analysis of both carotid arteries in oblique, coronal, and sagittal planes.

The symptomatic artery was analyzed. The degree of lumen stenosis in the carotid bifurcation was measured according to the ECST and NASCET criteria, perpendicular to the central lumen line.^3,6 Plaque surface morphology was evaluated and classified as either ulcerated or nonulcerated. Plaque ulceration was defined as an extension of contrast material of >1 mm into the atherosclerotic plaque, being visible in at least 2 perpendicular planes.²¹ In addition, the number of ulcerations per artery was recorded.

Plaque surface morphology was evaluated by 2 trained readers at baseline (B.H. and A.C.v.D.) and follow-up (K.D. and D.H.K.v.D.-N.). The trained readers (B.H., A.C.v.D., K.D., and D.H.K.v.D.-N.) were physicians who were first trained on a training set to identify the presence of ulceration on MDCTA. They had to successfully complete this training set before they assessed the ulcerations on the PARISK dataset.¹⁸ The third observer who was consulted for consensus in case of no agreement was a neuroradiologist with >25 years of experience (A.v.d.L.).

Temporal changes in plaque surface morphology were also evaluated by 2 trained readers (K.D. and D.H.K.v.D.-N.) by visual comparison of baseline and follow-up images in which an ulceration was detected, and a subdivision was made among new ulceration, persistent ulceration, and healed ulceration.

Image software (National Institutes of Health) was used to quantify calcifications in the symptomatic carotid artery within 3 cm proximal and distal to the bifurcation. We used a threshold of 600 HU to differentiate calcifications from contrast material in the lumen; calcification volume was expressed in cubic millimeters.²⁶

MR Imaging Data Acquisition and Analysis

All MR imaging examinations were performed on 3T whole-body MR imaging scanners (Achieva, Philips Healthcare, or Discovery MR 750, GE Healthcare) using an 8-channel phased-array coil (Shanghai Chenguang Medical Technologies) or a 4-channel phased-array coil with an angulated setup (PACC-GS30. Machnet B.V.), respectively. MR imaging of the carotid artery was performed if no contraindications for MR imaging were present (claustrophobia). Imaging protocols included 5 sequences that were comparable among centers (Philips: 3D-TOF fast-field echo, 3D-T1WI inversion recovery Turbo field echo, 2D-T2WI TSE, 2D-T1WI Quadruple inversion recovery TSE pre- and postcontrast; GE Healthcare: 3D fast-spoiled gradient-recalled, 3D-T1WI fast-spoiled gradient-recalled, 2D-T2WI double inversion recovery FSE, 2D-T1WI double inversion recovery FSE pre- and postcontrast). More detailed information of the sequences was previously described in the study-design article.²⁴

Six observers who were trained in the same institution to delineate plaque components evaluated the MR images of the symptomatic carotid artery with the VesselMass software (Department of Radiology, Leiden University Medical Center). All observers were extensively trained to manually delineate the vessel wall and plaque components on a test set. Subsequently, they had to demonstrate good interobserver agreement for all parameters (interclass correlation coefficient/κ values ≥ 0.6) on a validation set that was delineated by experts with >15 years of experience (M.E.K. and A.v.d.L.) before they could start delineating the MR images of the PARISK study.

The observers manually delineated the contours of the inner and outer vessel wall, LRNC, IPH, and calcifications using VesselMass. Then, the software (VesselMass) automatically generated a report with the areas of the lumen, the vessel wall, and each plaque component in each MR imaging section and the total volumes on all MR imaging slices of each plaque component, the lumen, and the vessel wall. The total volumes are the sum of the total area in each section multiplied by the section thickness, taking into account the section gap. The observers were blinded to clinical data and other imaging tests.

A total of 9 MR imaging slices of 2 mm each covering the entire plaque (4 slices in the common carotid artery proximal to bifurcation and 5 slices in the internal carotid artery distal to bifurcation) were included in analysis. The volumes of the lumen, wall (the total volume of the vessel wall including the plaque in 9 MR imaging slices), and total vessel (calculated as lumen volume + wall volume) were used to calculate relative wall volume to total vessel volume (Wall Volume / Total Vessel Volume × 100%). For each plaque, the presence and volumes of an LRNC, IPH, and calcifications were assessed using multisequence imaging criteria previously validated with histology.²⁷ When the LRNC also had internal IPH, we reported the internal IPH as IPH. In addition, the IPH volume was always considered as part of the LRNC.²⁸ The relative volume of plaque components to wall volume was calculated (eg, Percentage IPH = IPH Volume / Wall Volume × 100%). Fibrous cap status was divided in 2 categories: thick versus thin-or-ruptured fibrous cap (TRFC) based on previously published criteria.²⁹

Statistical Analysis

Categoric variables are presented as absolute numbers and relative frequencies. Continuous variables are presented as mean ± SD or as median with interquartile range (IQR). First, clinical characteristics and plaque parameters in patients with and without an ulceration at baseline and in patients with and without a new ulceration at 2-year follow-up were compared. Continuous variables were compared using a t test or Mann-Whitney U test, and categoric data were evaluated using the χ² or Fisher exact test.

The association between plaque characteristics and the presence of an ulcer at baseline (cross-sectional analysis) was evaluated using binary logistic regression and reported with ORs and 95% confidence intervals. The relative volumes of LRNC, IPH, and calcifications were natural log-transformed after adding 1% to deal with volumes of zero [eg, ln(% IPH Volume + 1)] due to skewed distribution. Because a larger vessel wall volume increased both the risk of having a plaque ulceration and the presence and size of different plaque components, we adjusted the significant associations between plaque composition and plaque ulceration for wall volume. Additional adjustment was performed for all known risk factors (age, sex, body mass index, hypertension, hypercholesterolemia, diabetes mellitus). A sensitivity analysis was performed to test the importance of time intervals among the following: 1) event to MDCTA baseline, 2) event to MR imaging baseline, and 3) MDCTA baseline to MR imaging baseline on the found associations. Because of the relatively low number of new ulcers, only simple statistical testing was performed using the Mann-Whitney U test and Fisher Exact test in the prospective analysis. Plaque parameters were taken as predictors, and the presence of an ulcer, as an outcome variable. A receiver operating characteristic curve and an area under the curve (AUC) were performed to establish the strength of the found associations. P < .05 was considered significant (2-sided). All calculations were performed using SPSS, Version 21 (IBM, 2012).

RESULTS

Patient Characteristics

From the 240 included patients in the PARISK study, 193 patients underwent both MDCTA and MR imaging at baseline. Thirteen patients were excluded because of poor MDCTA baseline quality (n = 2), poor MR imaging quality (n = 5), and inadequate MR imaging scan range (n = 6). Thus, for cross-sectional analysis, 180 patients were eligible. From these 180 patients, 118 were scheduled for follow-up imaging, but only 75 (64%) patients underwent MDCTA after 2 years of follow-up. The main reasons that follow-up imaging was not performed were logistic problems (n = 17), contraindications to contrast material (n = 14), withdrawal of informed consent (n = 9), and death (n = 3). An additional 2 patients were excluded because of carotid endarterectomy in the symptomatic carotid artery between the baseline and follow-up scan (n = 1) and poor MDCTA follow-up quality. Therefore, 73 patients were eligible for prospective analysis. Figure 1 shows a flow diagram of participants included and excluded from the study.

FIG 1.

Flow diagram explaining the reasons for exclusion of a number of carotid arteries in the final data analysis.

Clinical characteristics of the included patients at baseline are shown in Table 1. The median age of the study population was 68 years (range, 63–73 years); 71% (127/180) of the participants were men.

View this table:

Table 1:

The comparison of clinical characteristics and scan intervals between plaques with and without an ulcer at baseline^{^a}

Baseline Imaging Characteristics

The time interval between the neurologic event and baseline MDCTA was 34 days (IQR, 15–55 days), and the time between the neurologic event and MR imaging, 47 days (IQR, 30–67 days). The median time between MDCTA and MR imaging baseline scans was 1 day (IQR, 1–25 days) (Table 1).

LRNC and IPH were present in 116 (64%) and 69 (38%) symptomatic carotid arteries, respectively. Most plaques (162, 90%) contained calcifications at baseline. A TRFC was present in 77 (43%) of the symptomatic carotid arteries.

Baseline Analysis

At baseline, 27% (49/180) of the patients had a plaque ulceration in the symptomatic carotid artery. Imaging characteristics of the carotid arteries with and without plaque ulceration are shown in Table 2. Increased total vessel volume, wall volume, and lumen stenosis were associated with the presence of ulcerations at baseline. LRNC, IPH presence, and TRFC were also associated with ulcerated plaques. Moreover, a higher relative LRNC volume and IPH volume were associated with ulcerations at baseline. Results of binary logistic regression and receiver operating characteristic analysis for significant associations are shown in Table 2.

View this table:

Table 2:

Characteristics of plaques with and without an ulcer at baseline

After we adjusted for wall volume, LRNC and IPH presence (as dichotomous variable) were no longer significantly related to the presence of plaque ulceration (OR = 1.5; 95% CI, 0.6–3.3 and OR = 1.6; 95% CI, 0.8–3.4, respectively), but the TRFC remained significantly associated with plaque ulceration at baseline (OR = 2.4; 95% CI, 1.2–5). After we adjusted for wall volume, relative LRNC volume and IPH volume remained significantly related to the presence of plaque ulceration (OR = 1.5; 95% CI, 1.1–1.9 and OR = 1.5; 95% CI, 1.1–2.0, respectively). Additional adjustment for all known risk factors did not change the found associations for relative LRNC volume and IPH volume (OR = 1.5; 95% CI, 1.1–1.9 and OR = 1.5; 95% CI, 1.1–2.1, respectively). The results did not change after adjustment for time intervals among the following: 1) event to MDCTA baseline, 2) event to MR imaging baseline, and 3) MDCTA baseline to MR imaging baseline.

Follow-Up Analysis

A total of 73 patients were eligible for prospective analysis. The time period between the baseline and follow-up MDCTA scans was 25 ± 2 months. An ulceration at baseline was present in 19 of the 73 symptomatic plaques (26%). Most (81%; 59 of the 73 plaques) of the plaque surfaces remained unchanged: Fifty-one plaques had no ulceration at baseline and follow-up, and 8 plaques had a persistent ulceration at baseline and follow-up. Of the 14 symptomatic plaques that changed during follow-up, 8 ulcers were present at baseline and disappeared after 2 years (Fig 2). In the other 6 plaques (8%), a new ulcer developed at 2-year follow-up: A new ulceration was seen in 2 plaques with an ulceration at baseline; a new ulceration was seen in a plaque with an ulceration at baseline that disappeared at follow-up; and a new ulceration was seen in 3 plaques without an ulceration at baseline. Figure 2 illustrates an example of a new ulcer development.

FIG 2.

Ulceration development during follow-up and plaque composition at baseline of a 56-year-old female patient. MR imaging of carotid plaque proximal to the ulceration: precontrast T1-weighted turbo field echo sequence (A), postcontrast T1-weighted quadruple inversion recovery TSE sequence (B), T2-weighted TSE sequence (C), time-of-flight sequence (D), and MDCTA of irregular plaque at baseline (E) and of ulceration at 2-year follow-up (F). The asterisk marks the intraplaque hemorrhage. The white arrowhead points to thin-or-ruptured fibrous cap. White arrows point to the ulceration.

All 6 plaques that developed a new ulcer contained LRNC, IPH, calcifications, and a TRFC at baseline. The prevalence of IPH and a TRFC at baseline was significantly higher in plaques with a new ulcer at follow-up than in plaques without one (100% versus 31%; P = .002 and 100% versus 42%; P = .009, respectively) (Table 3). Plaques that developed a new ulceration had a slightly greater wall volume (1.04 cm³ [IQR, 0.97–1.16 cm³] versus 0.86 cm³ [IQR, 0.73–1.00 cm³]; P = .029), a higher relative LRNC volume (23% [IQR, 13–31%] versus 2% [IQR, 0–14%]; P = .002), and a higher relative IPH volume (14% [IQR, 8–24%] versus 0% [IQR, 0–5%; P < 0.001) (Table 3). Receiver operating characteristic analysis showed that the wall volume was a fair classifier (AUC = 0.77 [95% CI, 0.66–0.88]), and the relative LRNC and IPH volumes were both strong classifiers for new ulcer development (AUC = 0.87 [95% CI, 0.77–0.97] and AUC = 0.88 [95% CI, 0.79–0.97], respectively).

View this table:

Table 3:

Characteristics of plaques with and without a new ulceration at 2-year follow-up^{^a}

DISCUSSION

This cross-sectional, prospective, multicenter study of symptomatic patients with mild-to-moderate carotid artery stenosis showed that the presence and development of atherosclerotic plaque ulcerations are associated with large plaque volume and a high content of LRNC and IPH. This finding confirms that plaque composition is an important risk factor for plaque rupture, even in plaques without significant lumen stenosis. The relation between plaque composition and plaque rupture helps to better understand the pathophysiologic pathway from atherosclerosis to a cerebral ischemic event.

Previous studies have mainly focused on the relation between vulnerable plaque components and ischemic events.^8,10 The current view on the pathophysiology of cerebrovascular ischemic events due to atherosclerosis is first the development of plaques with a specific composition, which makes the plaque more vulnerable to plaque rupture. Rupture may result in embolization of plaque material to the intracranial circulation, which occludes the vessel and causes symptoms. More important is the formation of thrombus on a plaque rupture, resulting in embolization of thrombus into the intracranial circulation. Ischemic events are more frequently caused by this pathway than by reduced blood flow or blood pressure due to significant luminal stenosis because most events occur in atherosclerotic carotid disease without severe stenosis. Despite knowledge about this cascade leading to events, the relation between plaque composition and atherosclerotic plaque rupture has hardly been investigated in vivo. Understanding the pathophysiology of atherosclerotic plaque rupture can support the development of preventive strategies of medical treatment that affect the vulnerable components of the plaque and thereby the risk of ischemic stroke. It could also be used to optimize patient selection for carotid endarterectomy on the basis of screening for vulnerable plaque composition.

The results of the current cross-sectional analysis are in line with previous cross-sectional studies. The first study linking plaque ulceration to plaque composition was performed by Lovett et al,²¹ who analyzed carotid artery specimens obtained during endarterectomy and demonstrated that angiographic ulcerations were associated with IPH and a large LRNC. Since then, several cross-sectional studies reported similar associations between plaque composition based on imaging and plaque ulceration. Both Homburg et al,¹⁹and Saba et al²⁰ found, using CT of the plaque, that relative LRNC content was associated with plaque ulceration, whereas calcification proportion was inversely associated with plaque ulceration. A pilot study of the PARISK study demonstrated a relation and colocalization between IPH and disrupted plaque surface.¹⁸ The current study confirmed these findings and also that wall volume is a strong confounder of the relationship between plaque composition and plaque ulceration. After we adjusted for wall volume, IPH and a large LRNC remained significantly associated with ulceration. However, longitudinal studies are needed to prove a real link between plaque composition and plaque ulceration.

Underhill et al²² found, in a longitudinal study, results similar to ours: a higher percentage wall area, relative LRNC volume, and the presence of LRNC and IPH being predictive of plaque rupture. Nevertheless, our study differs from theirs in some aspects. First, our imaging protocol was different. In contrast to their MR imaging protocol, we used a postcontrast sequence that improves LRNC detection³⁰ and a heavily T1-weighted TFE sequence, which proved to be optimal for the detection of IPH.^31,32 We were able to evaluate IPH volumes instead of the presence of IPH only. Second, we used different imaging modalities to establish the presence of ulcerations. Underhill et al used MR imaging and defined plaque rupture as plaque ulceration and/or fibrous cap rupture. We defined plaque rupture as the presence of plaque ulceration only using MDCTA. Wu et al³³ demonstrated findings similar to ours by establishing a relationship between carotid artery score, which is mainly a reflection of the extent of LRNC in the plaque, and incident disrupted luminal surface.

Our study has limitations. Because of a relatively small study population that underwent follow-up imaging and a low incidence of ulcerations, multivariable analysis in the longitudinal analysis with adjustment for wall volume could not be performed.

Despite a low ulcer incidence at follow-up, very significant differences were found between plaques with and without a newly developed ulcer. Therefore, we are convinced that meaningful conclusions could be drawn regarding the relation between plaque composition and plaque ulceration risk. Furthermore, it could also be relevant to analyze the atherosclerotic plaque at the asymptomatic contralateral side. However, we did not analyze the asymptomatic artery for 2 reasons. First, the presence of plaque ulcerations at baseline CTA for an asymptomatic artery was low: Only 9% (17/180) of the asymptomatic arteries visualized by MDCTA had an ulcer at baseline. Moreover, none of the asymptomatic arteries developed a new ulcer after 2-year follow-up. Furthermore, the PARISK study focused the imaging examinations on the symptomatic side. Due to this focus, the contralateral artery was not imaged completely with MR imaging because the alignment of the scan range was performed with the symptomatic artery. This situation resulted in a lower number of asymptomatic arteries eligible for analysis.

A strength of our study is that we combined MDCTA and MR imaging to accurately assess plaque composition with MR imaging and plaque ulceration with MDCTA. Moreover, we used a standard MR imaging range for evaluation of plaque geometry volumes and plaque component volumes. A total of 9 slices was used in the final volume calculations, consisting of the same number of slices in the ICA and the common carotid artery. Therefore, the relative volumes are not biased because of different scan ranges, which may include different lengths of the common carotid artery and ICA. In addition, we noticed that all 6 new ulcerations at follow-up developed within this scan range. Finally, our population had a mild-to-moderate stenosis in contrast to previous studies that mainly focused on severe stenotic arteries, in which carotid endarterectomy was proved to be beneficial. Potentially, patients with mild stenosis and a high-risk plaque may also benefit from carotid endarterectomy, and the number needed to treat in patients with moderate stenosis can probably be improved.

CONCLUSIONS

The presence and development of plaque ulcerations are associated with large atherosclerotic plaques and a high content of IPH and a LRNC. Identification of predictors for plaque ulceration may prove clinically valuable for preventing plaque rupture and possible recurrent stroke.

Acknowledgments

We wish to thank Burhan Hussain for the plaque surface morphology score on MDCTA at baseline.

Footnotes

This research was performed within the framework of the Center for Translational Molecular Medicine (www.ctmm.nl), project PARISK (Plaque At RISK; grant 01C-202) and supported by the Dutch Heart Foundation. Kristina Dilba was supported, in part, by Toegepaste en Technische Wetenschappen, project No. 10813.
Disclosures: Kristine Dilba—RELATED: Support for Travel to Meetings for the Study or Other Purposes: Toegepaste en Technische Wetenschappen, grant No. 10813 (Stichting Technische Wetenschappen, Dutch Research Council, the Netherlands).* Mohamed Kassem—RELATED: Grant: The Dutch Research Council, Comments: Hestia Impulse. Paul J. Nederkoorn—UNRELATED: GRANTS: Dutch Heart Foundation and Netherlands Health Organisation. M. Eline Kooi—RELATED: Grant: Center for Translational Molecular Medicine PARISK*; UNRELATED: Employment: Maastricht University Medical Center; Grants/Grants Pending: Dutch Research Council, Horizon 2020 Initial Training Networks, Stichting De Weijerhorst*; Travel/Accommodations/Meeting Expenses Unrelated to Activities Listed: American Heart Association stroke conference, Society for Magnetic Resonance Angiography meeting, Le Fil Rouge meeting, symposium European Society for Cardiology, Comments: I am regularly invited as a speaker, and part of my expenses are reimbursed.* Jolanda J. Wentzel—RELATED: Grant: Toegepaste en Technische Wetenschappen, Comments: grant for the salary of K. Dilba, grant No. STW 10813.* Anouk C. van Dijk—RELATED: Grant: Center for Translational Molecular Medicine, Dutch Heart Foundation, Comments: This research was performed within the framework of the Center for Translational Molecular Medicine (www.ctmm.nl), project PARISK (Plaque At RISK; grant 01C-202) and supported by the Dutch Heart Foundation.* *Money paid to the institution.

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Received March 3, 2020.
Accepted after revision August 9, 2020.

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American Journal of Neuroradiology

Plaque Composition as a Predictor of Plaque Ulceration in Carotid Artery Atherosclerosis: The Plaque At RISK Study

Abstract

ABBREVIATIONS:

MATERIALS AND METHODS

Study Population

Cardiovascular Risk Factors at Baseline

MDCTA Data Acquisition and Analysis

MR Imaging Data Acquisition and Analysis

Statistical Analysis

RESULTS

Patient Characteristics

Baseline Imaging Characteristics

Baseline Analysis

Follow-Up Analysis

DISCUSSION

CONCLUSIONS

Acknowledgments

Footnotes

References

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