Skip to main content

Abstract

Background:

Over the last decades, several individual studies on sex differences in carotid atherosclerosis have been performed covering a wide range of plaque characteristics and including different populations. This systematic review and meta-analysis aims to summarize previously reported results on sex differences in carotid atherosclerosis and present a roadmap explaining next steps needed for implementing this knowledge in clinical practice.

Methods:

We systematically searched PubMed, Embase, Web of Science, Cochrane Central, and Google Scholar for eligible studies including both male and female participants reporting prevalence of imaging characteristics of carotid atherosclerosis and meta-analyzed these studies. Studies had to report at least the following: (1) calcifications; (2) lipid-rich necrotic core; (3) intraplaque hemorrhage; (4) thin-or-ruptured fibrous cap; (5) plaque ulceration; (6) degree of stenosis; (7) plaque size; or (8) plaque inflammation. We prespecified which imaging modalities had to be used per plaque characteristic and excluded ultrasonography.

Results:

We included 42 articles in our meta-analyses (ranging from 2 through 23 articles per plaque characteristic). Men had more frequently a larger plaque compared to women and, moreover, had more often plaques with calcifications (odds ratio=1.57 [95% CI, 1.23–2.02]), lipid-rich necrotic core (odds ratio=1.87 [95% CI, 1.36–2.57]), and intraplaque hemorrhage (odds ratio=2.52 [95% CI, 1.74–3.66]), or an ulcerated plaque (1.81 [95% CI, 1.30–2.51]). Furthermore, we found more pronounced sex differences for lipid-rich necrotic core in symptomatic opposed to asymptomatic participants.

Conclusions:

In this systematic review and meta-analysis, we demonstrate convincing evidence for sex differences in carotid atherosclerosis. All kinds of plaque features—plaque size, composition, and morphology—were more common or larger in men compared to women. Our results highlight that sex is an important variable to include in both study design and clinical-decision making. Further investigation of sex-specific stroke risks with regard to plaque composition is warranted.

Graphical Abstract

Carotid atherosclerosis is considered the underlying cause in 10% to 15% of all ischemic strokes worldwide.1 An important aspect with regard to the occurrence of ischemic strokes is that men have higher lifetime risks for ischemic stroke and have more often strokes related to large-artery atherosclerosis, while cardioembolic strokes are more common among women.2 Furthermore, trials on carotid endarterectomy reported that perioperative stroke and death risks are higher among women than among men and moreover that women benefit less from surgery.3 Sex differences in severity and composition of carotid atherosclerosis could explain differences in stroke incidence, treatment benefit, and complication rate between men and women.
Over the last decades, several studies on sex differences in carotid atherosclerosis have been performed, covering a wide range of patients (asymptomatic versus symptomatic patients and mild versus severe atherosclerosis) and assessments of atherosclerotic disease (plaque size, degree of stenosis, or plaque composition). Moreover, those individual studies used different levels of adjustments for confounders. The aim of this study is to systematically review all literature on sex differences in carotid atherosclerosis in order to provide a comprehensive overview of sex differences in carotid plaque composition and morphology. Additionally, we aim to meta-analyze previously reported results and to present a roadmap explaining next steps that are needed for implementing this knowledge in clinical practice.

Methods

This systematic review and meta-analysis was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines.4 Data not published within the article are available from the corresponding author upon reasonable request.

Search Strategy

The search query was designed with an expert librarian at the medical library of the Erasmus University Medical Center to capture all citations reported from inception to February, 2022. To identify eligible studies within PubMed, Embase, Web of Science, Cochrane Central, and Google Scholar, the following keywords were used in combination with the Boolean operators OR and AND: atherosclerotic plaque, atherosclerosis, calcification, calcinosis, vascular calcification, stenosis and carotid artery, carotid artery diseases, carotid stenosis, and sex characteristics, sex distribution, sex factors, sex, gender, men, man, male, women, woman, female, and radiography, tomography, mri, cta, ct, pet, angiography. The full search queries are listed in the Supplemental Material.

Study Selection

Studies were included if they enrolled both male and female participants, reported prevalence of imaging characteristics of carotid plaque composition, morphology, and size, and were written in English language. After removing duplicate reports, 2 independent reviewers (D.v.D.N. and N.v.E.) screened the studies by title and abstract. Conflicts were resolved by consensus between the 2 reviewers. Studies had to report at least one of the following plaque characteristics: (1) calcifications; (2) lipid-rich necrotic core (LRNC); (3) intraplaque hemorrhage (IPH); (4) thin-or-ruptured fibrous cap; (5) plaque ulceration; (6) degree of stenosis; (7) plaque size (ie, plaque thickness, area, or volume); and (8) plaque inflammation. We excluded studies that only investigated prevalence of carotid atherosclerosis and did not examine plaque composition or morphology. We prespecified which imaging modalities had to be used as minimum requirement per plaque characteristic (Table S1) and excluded those articles that used other techniques.5,6 For instance, we decided to exclude ultrasonography as modality because of high interrater variability, the ability of more reliable modalities like computed tomography or magnetic resonance imaging, and to end up with a limited and feasible overview of articles. We also excluded studies that investigated the prevalence of calcifications on dental panoramic tomographies, since dental panoramic tomography is not the gold standard. Furthermore, we excluded studies solely reporting measures of effect size without raw prevalences. Lastly, letters and congress abstracts were excluded.
Since we included sex as a criterion in our search term and to overcome that we therefore missed relevant articles that do not explicitly mention this key word in title or abstract, we also hand-searched all references from preceding included articles to screen for additional relevant studies.

Assessment of Risk of Bias

We assessed the quality of included studies using an adapted version of the Newcastle-Ottawa Scale.7 For this study, we developed a customized version of the scale including criteria with regard to the used cut-off for carotid atherosclerosis, separate versus simultaneous analyses of both carotid arteries, stratification for symptomatic versus asymptomatic patients, and the assessment of plaque characteristics (see Supplemental Methods). For the domains (1) selection, (2) information, and (3) outcome, all studies were classified as low, possible, or high risk for bias. If studies had a high risk of bias in ≥2 domains, they were excluded for meta-analyses.

Statistical Analyses

The main outcomes of interest were prevalence and volume of aforementioned plaque characteristics, all stratified for sex. These data were collected from the included studies and presented as odds ratio (OR) or β with 95% CI. The effect estimates were pooled using random-effect meta-analyses. Heterogeneity between studies was assessed using the I2 index. We additionally stratified the analyses for asymptomatic versus symptomatic (ie, recent history of stroke or transient ischemic attack) arteries, based on the information provided in the articles. Statistical analyses were conducted in R statistical software (version 4.1.2; R Foundation for Statistical Computing, Vienna, Austria) using the package “meta.”

Results

We identified 530 citations from Embase, 359 from PubMed, 197 from Web of Science, 82 from Cochrane Central, and 100 from Google Scholar. Removal of duplicate reports resulted in 1074 unique citations that were screened by title and abstract. From these, 235 were read in full resulting in a final selection of 60 articles.8–67 Main reasons for exclusion were absence of reporting stratified sex analyses regarding the plaque characteristics (n=89), use of another imaging modality than prespecified (n=24), and no inclusion of a plaque variable of interest (n=24), see Figure 1. Table S2 presents the details of the final included articles. For the meta-analyses per plaque characteristic, we excluded 24 articles, because of overlap with other studies performed in the same study cohort, selecting the one that included most participants. After hand-searching reference lists of the included articles in the meta-analyses for other relevant articles, we included an additional 19 articles68–86 of which 10 were eligible for meta-analyses. Table S3 reports the quality assessment scores per included study. No study had a high risk of bias in ≥2 domains and therefore all these studies could be included in the meta-analyses.
Figure 1. Flowchart of identification and selection of included articles. *We identified additional records by screening the reference lists with a specific attention for plaque ulceration (n=25) and with attention for other relevant articles (n=19).

Plaque Size

Six different studies were included in the meta-analyses on the relation between sex and plaque size. Figure 2 shows the results per measure of plaque size, that is, maximum wall thickness as 1-dimensional (1D) size, wall area as 2D size, and wall volume as 3D size. In the meta-analyses, all 3 characteristics were more likely to be larger in men opposed to women (β=0.44 [95% CI, 0.27–0.61] for maximum wall thickness; β=0.70 [95% CI, 0.59–0.81] for wall area; and β=0.71 [95% CI, 0.46–0.96] for wall volume). Conversely, the normalized wall index, which accounts for the total vessel size, did not statistically significant differ between male and female participants (Figure S1). However, the heterogeneity of the studies in this meta-analysis was high (I2=88%, P value<0.01). For instance, the study that showed a statistically significant result in both ipsilateral and contralateral arteries was done in patients that had a recent stroke or transient ischemic attack.
Figure 2. Meta-analysis on the association between sex and plaque size. The size of the box, which represents the beta, is proportional to the weight of the study. The diamond is the result of the random-effect meta-analysis. Wagenknecht et al (2009) included both symptomatic and asymptomatic participants. CAD indicates coronary artery disease; ICA, internal carotid artery; MRI, magnetic resonance imaging; and SMD, standardized mean difference.
With regard to the degree of stenosis, we could meta-analyze the stenosis severity within 2 subgroups: with a stenosis of either 50% to 69% or 70% to 99% (Figure S2). There was high heterogeneity in analyzed variables among studies, for instance due to different cut-off values. Another important reason why merely 3 studies could be included in the meta-analyses was the type of imaging modality (often ultrasonography). We found no statistically significant sex difference for stenosis of 50% to 69%. However, high-grade stenosis of 70% to 99% was more often seen in men than in women (OR=1.69 [95% CI, 1.30–2.21]).
We were unable to meta-analyze plaque size for asymptomatic versus symptomatic participants because we lacked an adequate number studies that stratified for these 2 groups.

Plaque Composition

Figures 3 through 5 show the meta-analyses for sex differences in plaque composition, specifically for the presence of calcifications, LRNC, and IPH. For all components, we found a higher prevalence in men than in women.
Figure 3. Meta-analysis on the association between sex and the presence of carotid calcifications. The size of the box, which represents the odds ratio, is proportional to the weight of the study. The diamond is the result of the random-effect meta-analysis. CAD indicates coronary artery disease; CT, computed tomography; CVD, cardiovascular disease; DM, diabetes; MRI, magnetic resonance imaging; and OR‚ odds ratio. *Most severely stenotic side. **Side with stenosis <50%.
Figure 4. Meta-analysis on the association between sex and the presence of lipid-rich necrotic core. The size of the box, which represents the odds ratio, is proportional to the weight of the study. The diamond is the result of the random-effect meta-analysis. CAD indicates coronary artery disease; CVD, cardiovascular disease; MRI, magnetic resonance imaging; and OR‚ odds ratio. *Most severely stenotic side. **Side with stenosis <50%. ***Side with largest plaque. ****Side with greatest thickness.
Figure 5. Meta-analysis on the association between sex and the presence of intraplaque hemorrhage. The size of the box, which represents the odds ratio, is proportional to the weight of the study. The diamond is the result of the random-effect meta-analysis. CAD indicates coronary artery disease; CVD, cardiovascular disease; MRI, magnetic resonance imaging; and OR, odds ratio. *Most severely stenotic side. **According to the ECST criteria. ***According to the NASCET criteria. ****Side with stenosis <50%.

Calcifications

Eleven studies were included in the meta-analyses for the presence of carotid calcifications (Figure 3). The total number of participants was 9287 and included both symptomatic and asymptomatic arteries. We found a statistically significant difference between men and women for having carotid calcifications. There was substantial heterogeneity between studies (I2=84%), which may be explained by differences in studies with regard to selection based on prevalent carotid atherosclerosis. When we stratified for this criterion, we found an OR of 1.63 (95% CI, 1.12–2.38) for having carotid calcifications among the studies without selection on prevalent atherosclerosis17,47,51,59,65,74; and an OR of 1.47 (95% CI, 1.06–2.05) for studies with selection on prevalent atherosclerosis.21,34,35,49,66 Regarding the amount of calcifications, we found that men have higher calcification volumes than women (β=0.37 [95% CI, 0.25–0.48]; Figure S3). However, we found no sex difference in calcification percentage, that is, the amount of calcification relative to the total plaque volume (β=0.01 [95% CI, −0.15 to 0.16]).

Lipid-Rich Necrotic Core

Eleven studies were included in the meta-analyses for the presence of LRNC (Figure 4) with a total number of participants of 5092. Most studies used presence of carotid atherosclerosis as an inclusion criterion (10 out of 11). Based on the meta-analyses, men are more likely to have a LRNC (OR=1.87 [95% CI, 1.36–2.57]). With regard to the amount of lipid, we found no statistically significant sex difference for absolute lipid volumes (β=0.05 [95% CI, −0.17 to 0.26]; Figure S4). In contrast, regarding relative lipid volumes, men do more often have higher volumes (β=0.42 [95% CI, 0.31 to 0.53]).

Intraplaque Hemorrhage

Twenty-three studies were included in the meta-analyses for the presence of IPH (Figure 5) comprising 7590 participants in total. Ten studies included only symptomatic patients and 5 studies only asymptomatic participants. All studies except 6 reported that IPH is more common in men than in women. When we pooled the effect estimates of the included studies, we found an OR of 2.52 (95% CI, 1.74–3.66) for IPH presence in men compared to women (Figure 5). Regarding the amount of IPH, both absolute and relative volumes of IPH were significantly higher in men compared to women (β=0.26 [95% CI, 0.01–0.52], β=0.26 [95% CI, 0.13–0.38], respectively; Figure S5).
When we stratified the meta-analyses based on the inclusion of asymptomatic versus symptomatic participants (Figures S6 through S8), we found more pronounced sex differences in the symptomatic compared to the asymptomatic group for LRNC (OR=3.27 [95% CI, 2.38–4.50] versus OR=1.79 [95% CI, 1.16–2.76]; P value for subgroup differences=0.03).

Plaque Morphology

Three studies could be included for the meta-analyses on the relation between sex and plaque ulceration (Figure 6A). The total number of patients was 3517 and all patients had stroke or transient ischemic attack. After pooling the effect estimates of these studies, we found an OR of 1.81 (95% CI, 1.30–2.51) for the presence of plaque ulceration in men.
Figure 6. Meta-analysis on the association between sex and the presence of plaque ulceration and a thin-or ruptured fibrous cap. The size of the box, which represents the odds ratio, is proportional to the weight of the study. The diamond is the result of the random-effect meta-analysis. CT indicates computed tomography; DSA, digital subtraction angiography; MRI, magnetic resonance imaging; and OR, odds ratio. *Most severely stenotic side. **Side with stenosis <50%. †No cut-off value presented.
We found a similar result for the presence of a thin-or-ruptured fibrous cap, although the OR resulting from the meta-analyses for thin-or-ruptured fibrous cap was higher (OR=2.98 [95% CI, 1.98–4.48]). For this analysis, we included 3 studies describing both symptomatic and asymptomatic participants with a total sample size of 1585 (Figure 6B).
Only the meta-analyses for thin-or-ruptured fibrous cap could be stratified for asymptomatic versus symptomatic populations (Figure S9). We found an OR of 4.94 (95% CI, 2.53–9.65) for the presence of thin-or-ruptured fibrous cap in the asymptomatic group, and an OR of 2.23 (95% CI, 1.35–3.68) in the symptomatic group (P value for subgroup differences=0.14).

Plaque Inflammation

We found 3 studies reporting sex-stratified analyses for plaque inflammation. Strobl et al45 investigated the association of the target-to-background ratio in the carotid artery assessed with 18F-FDG positron emission tomography-computed tomography with several risk factors, showing that men have higher target-to-background ratio than women (unadjusted β=0.12 [95% CI, 0.06–0.18]). In line with this, Derlin et al16 reported that male oncologic patients more often had carotid radiotracer accumulation (P<0.0001). This study, however, did not show sex-stratified analyses for target-to-background ratio and standardized uptake values. Giannotti et al20 measured the average of the standardized uptake values across the whole plaque among patients with a recent ischemic stroke. They found no differences between men and women (mean standardized uptake values for men 1.77, for women 1.93, P value=0.39). Additional analyses for the hottest slice and the most diseased segment also showed no sex differences.

Discussion

In this systematic review and meta-analysis, we demonstrate convincing evidence for differences between men and women in carotid atherosclerosis. All types of plaque features—plaque size, composition, and morphology—were larger or more common in men compared to women. Furthermore, we found sex differences in the amount of IPH, LRNC, and calcifications within the plaque.

Sex Differences in Carotid Plaque Characteristics

First, we showed that all 3 measures of plaque size (1D, 2D, and 3D) were sex-dependent. Surprisingly, we found no sex differences in the normalized wall index. Since the normalized wall index is the ratio between the wall and total vessel size, it could be that the difference between men and women in plaque size is driven by differences in vessel size.87 On the contrary, the meta-analyses should be interpreted carefully since the heterogeneity of the studies was high. Variation in methods, such as measuring area versus volume or total wall versus plaque, could have provoked this heterogeneity and the contradictory results among the individual studies. Nevertheless, since the underlying pathophysiology of sex differences in plaque burden is important and vessel size indeed could vary between men and women, this topic deserves further investigation.
With regard to the quantitative aspects of specific plaque composition, we found that absolute but not relative volumes of calcifications are higher in men, and the exact opposite for LRNC. These results are 2 sides of the same coin: it appears that men have plaques with more IPH and LRNC and less calcifications, and women plaques with more calcifications and less IPH and LRNC, which might be in favor of women.
This study shows that sex differences exist in both symptomatic and asymptomatic populations. Among symptomatic patients, they are more pronounced for LRNC, stressing the importance to take sex into account in clinical work-ups. At the same time, we also have to be aware of sex differences in healthy or asymptomatic populations, which could be expressed in different lifetime risks of stroke.
A growing number of studies are performed on imaging of plaque inflammation. Since this is a rather new field of interest, little is known on differences between men and women, which is also demonstrated by our study. This lack of information is partly explained by multiple studies not stratifying for sex. To get more insight into sex-specific plaque pathophysiology, it is essential to take sex into account in new studies, starting at including adequately-sized samples of men and women.88 Furthermore, only 1 study that was included in this review was performed among stroke patients. The other 2 were performed in oncologic patients. Therefore, further research among selected patients with carotid atherosclerosis would also by highly valuable to make findings more generalizable to specific patient groups.
Sex differences in the coexistence of plaque characteristics requires further research. Indeed, we recently found that specific combinations, such as the presence of calcifications, LRNC, and IPH, are more frequently seen in male patients.49 This suggests that having a carotid plaque with multiple vulnerable plaque features could signify an even higher stroke risk and that new studies are needed to show whether these kind of plaques are indeed more prone to rupture.

Mechanisms Underlying Sex Differences in Carotid Atherosclerosis

Evidence on possible explanations why men have more advanced plaques is emerging. Both sex and gender may contribute to a worse risk factor profile in men. However, the higher prevalence of modifiable risk factors as smoking, hypertension, and diabetes in men explains only the tip of the iceberg.89 Other explanations include genetic factors,90 sex hormones,21 and systemic inflammatory profiles.91 Gene activity is highly influenced by sex and varies over multiple tissues.92,93 For example, X- and Y-chromosomes affect the expression of genes located on the autosomes, leading to differences in gene expression and activity. Also sex steroids interfere with gene expression via multiple mechanisms such as interaction with epigenetic modifiers.92 Moreover, several studies point toward the protective role of estrogens on the premenopausal female vascular system,94 which is suggested to be lost in postmenopausal women.21 The gut microbiome could be an important mediator in this.95 Dysbiosis of the microbiome is associated with cardiovascular disease and atherosclerosis, probably via increasing the prevalence of traditional risk factors, but also by secretion of toxic metabolites. Besides sex hormones, also gender-specific dietary intake could affect the microbiome. Also sex differences in systematic inflammatory profiles may promote atherosclerosis.89,91 For instance, it has been reported that men have more circulating CD14+ and CD16++ monocytes, which have been associated with impaired endothelial function,96 intima-media thickness,97 and less carotid compliance,98 than women.99 Another mechanism could be differences in carotid anatomy, affecting hemodynamic parameters. For example, women tend to have larger outflow/inflow ratios. This means they have relatively larger outflow areas (internal and external carotid arteries) compared to the inflow area (common carotid artery), which affects the formation and distribution of carotid plaques. Low ratios, which are more seen in men, result in loss of flow energy, increasing local stress, and endothelial damage.100 More insight in these underlying mechanisms could contribute to the discovery of sex-specific therapeutic targets for atherosclerosis. This stresses, once again, the importance of including equal populations of male and female patients in studies and investigation of sex as an important component from animal models through clinical trials.89

Clinical Implications and Future Directions

The found sex differences in carotid atherosclerosis are of clinically significant importance, since the composition of plaque affects the risk of (recurrent) stroke. Previous studies have shown that especially IPH contributes to a higher stroke risk.101–103 Carotid LRNC, calcifications, total plaque size, and plaque ulceration have also been reported as important risk factors.5 With regard to sex-specific risk prediction and treatment, it is essential to investigate the effect of these plaque characteristics per sex separately. We hypothesize that the stroke risk as a result of specific plaque compositions varies among men and women. This idea is supported by the recently published finding that especially in asymptomatic women, IPH increased the risk of atherosclerotic cardiovascular disease (hazard ratio=3.37 [95% CI, 1.81–6.25] for women versus hazard ratio=1.67 [95% CI, 0.98–2.79] for men).53 Studies on sex-specific risks for (recurrent) stroke risk related to carotid plaque composition are still lacking, probably due to low power, which stresses the importance of the inclusion of an adequate number of both men and women in clinical trials.
Summarizing, we conclude that men have more often vulnerable plaques than women. This has implications for the interpretation of carotid atherosclerosis in men and women during stroke workup, for instance. It is more likely that in men the plaques are more advanced including components like IPH. Currently, ultrasonography and computed tomography angiography are the most used modalities for carotid evaluation but these cannot reliably identify the presence of IPH.104 This underlines the relevance of using magnetic resonance imaging in the diagnostic workup, which is feasible in clinical practice since only 1 sequence is needed for the detection of IPH.105
It is important to realize that although the exact mechanisms of sex differences in carotid atherosclerosis are still unclear, we are already able to act on these differences. We can use this knowledge in clinical practice, being aware of differences in likelihood of having a vulnerable carotid plaque which affects patient’s stroke risk. Hence, the next step is to investigate the effect of plaque characteristics on stroke per sex separately. This will also allow us to make sex-specific risk scores in order to improve clinical decision making.

Study Limitations

This meta-analysis has several limitations that deserve comment. First, we observed moderate to high heterogeneity among the included studies especially with regard to plaque size and carotid calcifications, probably due to differences in population characteristics such as history of cardiovascular disease and severity of stenosis. However, most individual studies reported strikingly consistent results.
We stratified the analyses for both asymptomatic versus symptomatic studies to underline sex differences. Unfortunately, for severity of atherosclerosis we could not stratify since only Ota et al34 reported on patients with carotid stenosis ≥50%. Most studies included patients with less severe carotid stenosis, did not select on carotid stenosis, or reported not explicitly on the severity.
In this meta-analysis, adjusting for potential confounders on the relation between sex and carotid atherosclerosis was not possible. We did not have individual patient data including both plaque and patient characteristics to perform these analyses. Since these confounders could yield insights in pathophysiology, it is important to adjust for several factors such as cardiovascular risk factors and vessel size in future studies.
In this review, we focused on the prevalence of carotid plaque characteristics rather than on explanations or treatment. These topics are also worth investigating and we have touched upon this in the discussion. We also decided to include only studies using modalities considered as golden standards nowadays for identification of plaque characteristics. Consequently, we may have missed interesting studies. However, this approach does makes our results more generalizable to clinical practice. Finally, we included sex as a criterion in the search strategy (see exact terms in the Supplemental Material). However, to limit the chance that we missed relevant articles that did not mention explicitly one of these terms in title or abstract, we also hand-searched the reference lists of the initially included articles.

Conclusions

In this systematic review and meta-analysis, we demonstrate convincing evidence for sex differences in carotid atherosclerosis. All kinds of plaque features—plaque size, composition, and morphology—were more common or larger in men compared to women. Furthermore, we found sex differences in the amount of IPH, LRNC, and calcifications within the plaque. Our results highlight that sex is an important variable to include in both clinical-decision making and study designs. Further investigation of sex-specific stroke risks with regard to plaque composition is warranted.

Article Information

Supplemental Material

Supplemental Methods
Tables S1–S3
Figures S1–S9

Acknowledgments

We thank Wichor M. Bramer‚ biomedical information specialist from the Medical Library of the Erasmus University Medical Center Rotterdam‚ for his assistance with designing the search query.

Footnote

Nonstandard Abbreviations and Acronyms

IPH
intraplaque hemorrhage
LRNC
lipid-rich necrotic core
OR
odds ratio

Supplemental Material

File (str_stroke-2022-041046d_supp1.pdf)
File (str_stroke-2022-041046d_supp2.pdf)

References

1.
Bonati LH, Kakkos S, Berkefeld J, de Borst GJ, Bulbulia R, Halliday A, van Herzeele I, Koncar I, McCabe DJ, Lal A, et al. European Stroke Organisation guideline on endarterectomy and stenting for carotid artery stenosis. Eur Stroke J. 2021;6:I–XLVII. doi: 10.1177/23969873211026990
2.
Appelros P, Stegmayr B, Terent A. Sex differences in stroke epidemiology: a systematic review. Stroke. 2009;40:1082–1090. doi: 10.1161/STROKEAHA.108.540781
3.
Rothwell PM, Eliasziw M, Gutnikov SA, Warlow CP, Barnett HJ, Carotid Endarterectomy Trialists C. Endarterectomy for symptomatic carotid stenosis in relation to clinical subgroups and timing of surgery. Lancet. 2004;363:915–924. doi: 10.1016/S0140-6736(04)15785-1
4.
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71
5.
Bos D, van Dam-Nolen DHK, Gupta A, Saba L, Saloner D, Wasserman BA, van der Lugt A. Advances in multimodality carotid plaque imaging: AJR expert panel narrative review. AJR Am J Roentgenol. 2021;217:16–26. doi: 10.2214/AJR.20.24869
6.
Saba L, Saam T, Jager HR, Yuan C, Hatsukami TS, Saloner D, Wasserman BA, Bonati LH, Wintermark M. Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. Lancet Neurol. 2019;18:559–572. doi: 10.1016/S1474-4422(19)30035-3
7.
Wells, G, Shea, B, O’Connell, D, Robertson, J, Peterson, J, Welch, V, Losos, M, Tugwell, P. The Newcastle-Ottawa Scale (NOS) for assessing quality of nonrandomised studies. The Ottawa Hospital Health Research Institute. Accessed June 1, 2022. http://www.ohri.ca/Programs/clinical_epidemiology/oxford.asp.
8.
Allison MA, Criqui MH, Wright CM. Patterns and risk factors for systemic calcified atherosclerosis. Arterioscler Thromb Vasc Biol. 2004;24:331–336. doi: 10.1161/01.ATV.0000110786.02097.0c
9.
Altaf N, Goode SD, Beech A, Gladman JR, Morgan PS, MacSweeney ST, Auer DP. Plaque hemorrhage is a marker of thromboembolic activity in patients with symptomatic carotid disease. Radiology. 2011;258:538–545. doi: 10.1148/radiol.10100198
10.
Blake GJ, Ostfeld RJ, Yucel EK, Varo N, Schonbeck U, Blake MA, Gerhard M, Ridker PM, Libby P, Lee RT. Soluble CD40 ligand levels indicate lipid accumulation in carotid atheroma: an in vivo study with high-resolution MRI. Arterioscler Thromb Vasc Biol. 2003;23:e11–e14. doi: 10.1161/01.atv.0000050143.22910.62
11.
Bos D, Leening MJ, Kavousi M, Hofman A, Franco OH, van der Lugt A, Vernooij MW, Ikram MA. Comparison of atherosclerotic calcification in major vessel beds on the risk of all-cause and cause-specific mortality: the Rotterdam study. Circ Cardiovasc Imaging. 2015;8:e003843. doi: 10.1161/CIRCIMAGING.115.003843
12.
Catalano O, Bendotti G, Mori A, De Salvo M, Falconi M, Aloi TL, Tibollo V, Bellazzi R, Bardile AF, Montagna S, et al. Evolving determinants of carotid atherosclerosis vulnerability in asymptomatic patients from the MAGNETIC observational study. Sci Rep. 2021;11:2327. doi: 10.1038/s41598-021-81247-y
13.
Che F, Liu Y, Gong X, Wang A, Bai X, Ju Y, Sui B, Jing J, Geng X, Zhao X. Extracranial carotid plaque hemorrhage is independently associated with poor 3-month functional outcome after acute ischemic stroke-a prospective cohort study. Front Neurol. 2021;12:780436. doi: 10.3389/fneur.2021.780436
14.
Cheung HM, Moody AR, Singh N, Bitar R, Zhan J, Leung G. Late stage complicated atheroma in low-grade stenotic carotid disease: MR imaging depiction--prevalence and risk factors. Radiology. 2011;260:841–847. doi: 10.1148/radiol.11101652
15.
den Brok MG, Kuhrij LS, Roozenbeek B, van der Lugt A, Hilkens PH, Dippel DW, Nederkoorn PJ. Prevalence and risk factors of symptomatic carotid stenosis in patients with recent transient ischaemic attack or ischaemic stroke in the Netherlands. Eur Stroke J. 2020;5:271–277. doi: 10.1177/2396987320932065
16.
Derlin T, Wisotzki C, Richter U, Apostolova I, Bannas P, Weber C, Mester J, Klutmann S. In vivo imaging of mineral deposition in carotid plaque using 18F-sodium fluoride PET/CT: correlation with atherogenic risk factors. J Nucl Med. 2011;52:362–368. doi: 10.2967/jnumed.110.081208
17.
Ditomasso D, Carnethon MR, Wright CM, Allison MA. The associations between visceral fat and calcified atherosclerosis are stronger in women than men. Atherosclerosis. 2010;208:531–536. doi: 10.1016/j.atherosclerosis.2009.08.015
18.
Eliasziw M, Streifler JY, Fox AJ, Hachinski VC, Ferguson GG, Barnett HJ. Significance of plaque ulceration in symptomatic patients with high-grade carotid stenosis. North American Symptomatic Carotid Endarterectomy Trial. Stroke. 1994;25:304–308. doi: 10.1161/01.str.25.2.304
19.
Fanning NF, Walters TD, Fox AJ, Symons SP. Association between calcification of the cervical carotid artery bifurcation and white matter ischemia. AJNR Am J Neuroradiol. 2006;27:378–383.
20.
Giannotti N, McNulty J, Foley S, McCabe J, Barry M, Crowe M, Dolan E, Harbison J, Horgan G, Kavanagh E, et al. Association between 18-FDG positron emission tomography and MRI biomarkers of plaque vulnerability in patients with symptomatic carotid stenosis. Front Neurol. 2021;12:731744. doi: 10.3389/fneur.2021.731744
21.
Glisic M, Mujaj B, Rueda-Ochoa OL, Asllanaj E, Laven JSE, Kavousi M, Ikram MK, Vernooij MW, Ikram MA, Franco OH, et al. Associations of endogenous estradiol and testosterone levels with plaque composition and risk of stroke in subjects with carotid atherosclerosis. Circ Res. 2018;122:97–105. doi: 10.1161/CIRCRESAHA.117.311681
22.
Gupta A, Baradaran H, Kamel H, Mangla A, Pandya A, Fodera V, Dunning A, Sanelli PC. Intraplaque high-intensity signal on 3D time-of-flight MR angiography is strongly associated with symptomatic carotid artery stenosis. AJNR Am J Neuroradiol. 2014;35:557–561. doi: 10.3174/ajnr.A3732
23.
Han T, Paramsothy P, Hong J, Isquith D, Xu D, Bai H, Neradilek M, Gill E, Zhao XQ. High-resolution MRI assessed carotid atherosclerotic plaque characteristics comparing men and women with elevated ApoB levels. Int J Cardiovasc Imaging. 2020;36:481–489. doi: 10.1007/s10554-019-01600-1
24.
Hyder JA, Allison MA, Criqui MH, Wright CM. Association between systemic calcified atherosclerosis and bone density. Calcif Tissue Int. 2007;80:301–306. doi: 10.1007/s00223-007-9004-6
25.
Kandiyil N, Altaf N, Hosseini AA, MacSweeney ST, Auer DP. Lower prevalence of carotid plaque hemorrhage in women, and its mediator effect on sex differences in recurrent cerebrovascular events. PLoS One. 2012;7:e47319. doi: 10.1371/journal.pone.0047319
26.
Kapral MK, Ben-Yakov M, Fang J, Gladstone DJ, Saposnik G, Robertson A, Silver FL. Gender differences in carotid imaging and revascularization following stroke. Neurology. 2009;73:1969–1974. doi: 10.1212/WNL.0b013e3181c55eae
27.
Keenan NG, Locca D, Varghese A, Roughton M, Gatehouse PD, Hooper J, Firmin DN, Pennell DJ. Magnetic resonance of carotid artery ageing in healthy subjects. Atherosclerosis. 2009;205:168–173. doi: 10.1016/j.atherosclerosis.2008.11.018
28.
Larson AS, Brinjikji W, Savastano LE, Huston Iii J, Benson JC. Carotid intraplaque hemorrhage is associated with cardiovascular risk factors. Cerebrovasc Dis. 2020;49:355–360. doi: 10.1159/000508733
29.
Liem MI, Schreuder FH, van Dijk AC, de Rotte AA, Truijman MT, Daemen MJ, van der Steen AF, Hendrikse J, Nederveen AJ, van der Lugt A, et al. Use of antiplatelet agents is associated with intraplaque hemorrhage on carotid magnetic resonance imaging: the plaque at risk study. Stroke. 2015;46:3411–3415. doi: 10.1161/STROKEAHA.115.008906
30.
Lovett JK, Howard SC, Rothwell PM. Pulse pressure is independently associated with carotid plaque ulceration. J Hypertens. 2003;21:1669–1676. doi: 10.1097/00004872-200309000-00016
31.
McLaughlin MS, Hinckley PJ, Treiman SM, Kim SE, Stoddard GJ, Parker DL, Treiman GS, McNally JS. Optimal prediction of carotid intraplaque hemorrhage using clinical and lumen imaging markers. AJNR Am J Neuroradiol. 2015;36:2360–2366. doi: 10.3174/ajnr.A4454
32.
Odink AE, van der Lugt A, Hofman A, Hunink MG, Breteler MM, Krestin GP, Witteman JC. Association between calcification in the coronary arteries, aortic arch and carotid arteries: the Rotterdam study. Atherosclerosis. 2007;193:408–413. doi: 10.1016/j.atherosclerosis.2006.07.007
33.
Odink AE, van der Lugt A, Hofman A, Hunink MG, Breteler MM, Krestin GP, Witteman JC. Risk factors for coronary, aortic arch and carotid calcification; the Rotterdam study. J Hum Hypertens. 2010;24:86–92. doi: 10.1038/jhh.2009.42
34.
Ota H, Reeves MJ, Zhu DC, Majid A, Collar A, Yuan C, DeMarco JK. Sex differences in patients with asymptomatic carotid atherosclerotic plaque: in vivo 3.0-T magnetic resonance study. Stroke. 2010;41:1630–1635. doi: 10.1161/STROKEAHA.110.581306
35.
Ota H, Reeves MJ, Zhu DC, Majid A, Collar A, Yuan C, DeMarco JK. Sex differences of high-risk carotid atherosclerotic plaque with less than 50% stenosis in asymptomatic patients: an in vivo 3T MRI study. AJNR Am J Neuroradiol. 2013;34:1049–55, S1. doi: 10.3174/ajnr.A3399
36.
Qiao Y, Etesami M, Astor BC, Zeiler SR, Trout HH, Wasserman BA. Carotid plaque neovascularization and hemorrhage detected by MR imaging are associated with recent cerebrovascular ischemic events. AJNR Am J Neuroradiol. 2012;33:755–760. doi: 10.3174/ajnr.A2863
37.
Register TC, Divers J, Bowden DW, Carr JJ, Lenchik L, Wagenknecht LE, Hightower RC, Xu J, Smith SC, Hruska KA, et al. Relationships between serum adiponectin and bone density, adiposity and calcified atherosclerotic plaque in the African American-Diabetes Heart Study. J Clin Endocrinol Metab. 2013;98:1916–1922. doi: 10.1210/jc.2012-4126
38.
Register TC, Hruska KA, Divers J, Bowden DW, Palmer ND, Carr JJ, Wagenknecht LE, Hightower RC, Xu J, Smith SC, et al. Sclerostin is positively associated with bone mineral density in men and women and negatively associated with carotid calcified atherosclerotic plaque in men from the African American-Diabetes Heart Study. J Clin Endocrinol Metab. 2014;99:315–321. doi: 10.1210/jc.2013-3168
39.
Rose KA, Vera JH, Drivas P, Banya W, Keenan N, Pennell DJ, Winston A. Atherosclerosis is evident in treated HIV-infected subjects with low cardiovascular risk by carotid cardiovascular magnetic resonance. J Acquir Immune Defic Syndr. 2016;71:514–521. doi: 10.1097/QAI.0000000000000900
40.
Sakamoto M, Taoka T, Nakagawa H, Takayama K, Wada T, Myouchin K, Akashi T, Miyasaka T, Fukusumi A, Iwasaki S, et al. Magnetic resonance plaque imaging to predict the occurrence of the slow-flow phenomenon in carotid artery stenting procedures. Neuroradiology. 2010;52:275–283. doi: 10.1007/s00234-009-0623-7
41.
Scheffler M, Pellaton A, Boto J, Barnaure I, Delattre BM, Remuinan J, Sztajzel R, Lovblad KO, Vargas MI. Hemorrhagic plaques in mild carotid stenosis: the risk of stroke. Can J Neurol Sci. 2021;48:218–225. doi: 10.1017/cjn.2020.177
42.
Selwaness M, Hameeteman R, Van ‘t Klooster R, Van den Bouwhuijsen Q, Hofman A, Franco OH, Niessen WJ, Klein S, Vernooij MW, Van der Lugt A, et al. Determinants of carotid atherosclerotic plaque burden in a stroke-free population. Atherosclerosis. 2016;255:186–192. doi: 10.1016/j.atherosclerosis.2016.10.030
43.
Singh N, Moody AR, Zhang B, Kaminski I, Kapur K, Chiu S, Tyrrell PN. Age-specific sex differences in magnetic resonance imaging-depicted carotid intraplaque hemorrhage. Stroke. 2017;48:2129–2135. doi: 10.1161/STROKEAHA.117.017877
44.
Song JW, Cao Q, Siegler JE, Thon JM, Woo JH, Cucchiara BL. Sex differences in carotid plaque composition in patients with embolic stroke of undetermined source. J Am Heart Assoc. 2021;10:e020143. doi: 10.1161/JAHA.120.020143
45.
Strobl FF, Rominger A, Wolpers S, Rist C, Bamberg F, Thierfelder KM, Nikolaou K, Uebleis C, Hacker M, Reiser MF, et al. Impact of cardiovascular risk factors on vessel wall inflammation and calcified plaque burden differs across vascular beds: a PET-CT study. Int J Cardiovasc Imaging. 2013;29:1899–1908. doi: 10.1007/s10554-013-0277-8
46.
Uehara T, Tabuchi M, Hayashi T, Kurogane H, Yamadori A. Asymptomatic occlusive lesions of carotid and intracranial arteries in Japanese patients with ischemic heart disease: evaluation by brain magnetic resonance angiography. Stroke. 1996;27:393–397. doi: 10.1161/01.str.27.3.393
47.
Underhill HR, Yuan C, Terry JG, Chen H, Espeland MA, Hatsukami TS, Saam T, Chu B, Yu W, Oikawa M, et al. Differences in carotid arterial morphology and composition between individuals with and without obstructive coronary artery disease: a cardiovascular magnetic resonance study. J Cardiovasc Magn Reson. 2008;10:31. doi: 10.1186/1532-429X-10-31
48.
van Dam-Nolen DHK, van Dijk AC, Crombag G, Lucci C, Kooi ME, Hendrikse J, Nederkoorn PJ, Daemen M, van der Steen AFW, Koudstaal PJ, et al. Lipoprotein(a) levels and atherosclerotic plaque characteristics in the carotid artery: the Plaque at RISK (PARISK) study. Atherosclerosis. 2021;329:22–29. doi: 10.1016/j.atherosclerosis.2021.06.004
49.
van Dam-Nolen DHK, van Egmond NCM, Dilba K, Nies K, van der Kolk AG, Liem MI, Kooi ME, Hendrikse J, Nederkoorn PJ, Koudstaal PJ, et al. Sex differences in plaque composition and morphology among symptomatic patients with mild-to-moderate carotid artery stenosis. Stroke. 2022;53:370–378. doi: 10.1161/STROKEAHA.121.036564
50.
van den Bouwhuijsen QJ, Vernooij MW, Hofman A, Krestin GP, van der Lugt A, Witteman JC. Determinants of magnetic resonance imaging detected carotid plaque components: the Rotterdam Study. Eur Heart J. 2012;33:221–229. doi: 10.1093/eurheartj/ehr227
51.
van der Toorn JE, Rueda-Ochoa OL, van der Schaft N, Vernooij MW, Ikram MA, Bos D, Kavousi M. Arterial calcification at multiple sites: sex-specific cardiovascular risk profiles and mortality risk-the Rotterdam Study. BMC Med. 2020;18:263. doi: 10.1186/s12916-020-01722-7
52.
van der Toorn JE, Bos D, Arshi B, Leening MJG, Vernooij MW, Ikram MA, Ikram MK, Kavousi M. Arterial calcification at different sites and prediction of atherosclerotic cardiovascular disease among women and men. Atherosclerosis. 2021;337:27–34. doi: 10.1016/j.atherosclerosis.2021.10.009
53.
van der Toorn JE, Bos D, Ikram MK, Verwoert GC, van der Lugt A, Ikram MA, Vernooij MW, Kavousi M. Carotid plaque composition and prediction of incident atherosclerotic cardiovascular disease. Circ Cardiovasc Imaging. 2022;15:e013602. doi: 10.1161/CIRCIMAGING.121.013602
54.
van Gils MJ, Bodde MC, Cremers LG, Dippel DW, van der Lugt A. Determinants of calcification growth in atherosclerotic carotid arteries; a serial multi-detector CT angiography study. Atherosclerosis. 2013;227:95–99. doi: 10.1016/j.atherosclerosis.2012.12.017
55.
van Velzen TJ, Kuhrij LS, Westendorp WF, van de Beek D, Nederkoorn PJ. Prevalence, predictors and outcome of carotid stenosis: a sub study in the Preventive Antibiotics in Stroke Study (PASS). BMC Neurol. 2021;21:20. doi: 10.1186/s12883-020-02032-4
56.
Voigt S, van Os H, van Walderveen M, van der Schaaf IC, Kappelle LJ, Broersen A, Velthuis BK, de Jong PA, Kockelkoren R, Kruyt ND, et al; DUST study group. Sex differences in intracranial and extracranial atherosclerosis in patients with acute ischemic stroke. Int J Stroke. 2021;16:385–391. doi: 10.1177/1747493020932806
57.
Volcik KA, Campbell S, Chambless LE, Coresh J, Folsom AR, Mosley TH, Ni H, Wagenknecht LE, Wasserman BA, Boerwinkle E. MMP2 genetic variation is associated with measures of fibrous cap thickness: the atherosclerosis risk in communities carotid MRI study. Atherosclerosis. 2010;210:188–193. doi: 10.1016/j.atherosclerosis.2009.12.006
58.
Vukadinovic D, Rozie S, van Gils M, van Walsum T, Manniesing R, van der Lugt A, Niessen WJ. Automated versus manual segmentation of atherosclerotic carotid plaque volume and components in CTA: associations with cardiovascular risk factors. Int J Cardiovasc Imaging. 2012;28:877–887. doi: 10.1007/s10554-011-9890-6
59.
Wagenknecht LE, Langefeld CD, Freedman BI, Carr JJ, Bowden DW. A comparison of risk factors for calcified atherosclerotic plaque in the coronary, carotid, and abdominal aortic arteries: the diabetes heart study. Am J Epidemiol. 2007;166:340–347. doi: 10.1093/aje/kwm091
60.
Wagenknecht L, Wasserman B, Chambless L, Coresh J, Folsom A, Mosley T, Ballantyne C, Sharrett R, Boerwinkle E. Correlates of carotid plaque presence and composition as measured by MRI: the Atherosclerosis Risk in Communities Study. Circ Cardiovasc Imaging. 2009;2:314–322. doi: 10.1161/CIRCIMAGING.108.823922
61.
Wasserman BA, Sharrett AR, Lai S, Gomes AS, Cushman M, Folsom AR, Bild DE, Kronmal RA, Sinha S, Bluemke DA. Risk factor associations with the presence of a lipid core in carotid plaque of asymptomatic individuals using high-resolution MRI: the multi-ethnic study of atherosclerosis (MESA). Stroke. 2008;39:329–335. doi: 10.1161/STROKEAHA.107.498634
62.
Wasserman BA, Astor BC, Sharrett AR, Swingen C, Catellier D. MRI measurements of carotid plaque in the atherosclerosis risk in communities (ARIC) study: methods, reliability and descriptive statistics. J Magn Reson Imaging. 2010;31:406–415. doi: 10.1002/jmri.22043
63.
Yamada K, Yoshimura S, Shirakawa M, Uchida K, Maruyama F, Nakahara S, Nishida S, Iwamoto Y, Sato Y, Kawasaki M. High intensity signal in the plaque on routine 3D-TOF MRA is associated with ischemic stroke in the patients with low-grade carotid stenosis. J Neurol Sci. 2018;385:164–167. doi: 10.1016/j.jns.2017.12.023
64.
Yuan M, Hsu FC, Bowden DW, Xu J, Carrie Smith S, Wagenknecht LE, Comeau ME, Divers J, Register TC, Jeffrey Carr J, et al. Relationships between measures of adiposity with subclinical atherosclerosis in patients with type 2 diabetes. Obesity (Silver Spring). 2016;24:1810–1818. doi: 10.1002/oby.21540
65.
Zhang Y, Wang L, Zhang Z, Zhang Z, Zhou S, Cao L, Cai B, Liu K, Bai W, Xie X, et al. Shared and discrepant susceptibility for carotid artery and aortic arch calcification: a genetic association study. Atherosclerosis. 2015;241:371–375. doi: 10.1016/j.atherosclerosis.2015.05.030
66.
Zhang L, Zhu L, Lu M, Zhao X, Li F, Cai J, Yuan C, investigators C-I. Comparison of carotid plaque characteristics between men and women using magnetic resonance vessel wall imaging: a Chinese atherosclerosis risk evaluation study. J Magn Reson Imaging. 2021;54:646–654. doi: 10.1002/jmri.27576
67.
Zhao XQ, Hatsukami TS, Hippe DS, Sun J, Balu N, Isquith DA, Crouse JR, Anderson T, Huston J, Polissar N, et al; AIM-HIGH Carotid MRI Sub-study Investigators. Clinical factors associated with high-risk carotid plaque features as assessed by magnetic resonance imaging in patients with established vascular disease (from the AIM-HIGH Study). Am J Cardiol. 2014;114:1412–1419. doi: 10.1016/j.amjcard.2014.08.001
68.
Altaf N, Beech A, Goode SD, Gladman JR, Moody AR, Auer DP, MacSweeney ST. Carotid intraplaque hemorrhage detected by magnetic resonance imaging predicts embolization during carotid endarterectomy. J Vasc Surg. 2007;46:31–36. doi: 10.1016/j.jvs.2007.02.072
69.
Altaf N, MacSweeney ST, Gladman J, Auer DP. Carotid intraplaque hemorrhage predicts recurrent symptoms in patients with high-grade carotid stenosis. Stroke. 2007;38:1633–1635. doi: 10.1161/STROKEAHA.106.473066
70.
Altaf N, Daniels L, Morgan PS, Auer D, MacSweeney ST, Moody AR, Gladman JR. Detection of intraplaque hemorrhage by magnetic resonance imaging in symptomatic patients with mild to moderate carotid stenosis predicts recurrent neurological events. J Vasc Surg. 2008;47:337–342. doi: 10.1016/j.jvs.2007.09.064
71.
Altaf N, Akwei S, Auer DP, MacSweeney ST, Lowe J. Magnetic resonance detected carotid plaque hemorrhage is associated with inflammatory features in symptomatic carotid plaques. Ann Vasc Surg. 2013;27:655–661. doi: 10.1016/j.avsg.2012.10.011
72.
Altaf N, Kandiyil N, Hosseini A, Mehta R, MacSweeney S, Auer D. Risk factors associated with cerebrovascular recurrence in symptomatic carotid disease: a comparative study of carotid plaque morphology, microemboli assessment and the European Carotid Surgery Trial risk model. J Am Heart Assoc. 2014;3:e000173. doi: 10.1161/JAHA.113.000173
73.
Divers J, Wagenknecht LE, Bowden DW, Carr JJ, Hightower RC, Ding J, Xu J, Langefeld CD, Freedman BI. Regional adipose tissue associations with calcified atherosclerotic plaque: African American-diabetes heart study. Obesity (Silver Spring). 2010;18:2004–2009. doi: 10.1038/oby.2010.30
74.
Divers J, Register TC, Langefeld CD, Wagenknecht LE, Bowden DW, Carr JJ, Hightower RC, Xu J, Hruska KA, Freedman BI. Relationships between calcified atherosclerotic plaque and bone mineral density in African Americans with type 2 diabetes. J Bone Miner Res. 2011;26:1554–1560. doi: 10.1002/jbmr.389
75.
Hosseini AA, Kandiyil N, Macsweeney ST, Altaf N, Auer DP. Carotid plaque hemorrhage on magnetic resonance imaging strongly predicts recurrent ischemia and stroke. Ann Neurol. 2013;73:774–784. doi: 10.1002/ana.23876
76.
Hosseini AA, Simpson RJ, Altaf N, Bath PM, MacSweeney ST, Auer DP. Magnetic resonance imaging plaque hemorrhage for risk stratification in carotid artery disease with moderate risk under current medical therapy. Stroke. 2017;48:678–685. doi: 10.1161/STROKEAHA.116.015504
77.
Kume S, Hama S, Yamane K, Wada S, Nishida T, Kurisu K. Vulnerable carotid arterial plaque causing repeated ischemic stroke can be detected with B-mode ultrasonography as a mobile component: Jellyfish sign. Neurosurg Rev. 2010;33:419–430. doi: 10.1007/s10143-010-0270-9
78.
Kurosaki Y, Yoshida K, Endo H, Chin M, Yamagata S. Association between carotid atherosclerosis plaque with high signal intensity on T1-weighted imaging and subsequent ipsilateral ischemic events. Neurosurgery. 2011;68:62–7; discussion 67. doi: 10.1227/NEU.0b013e3181fc60a8
79.
McNally JS, Kim SE, Yoon HC, Findeiss LK, Roberts JA, Nightingale DR, Narra KK, Parker DL, Treiman GS. Carotid magnetization-prepared rapid acquisition with gradient-echo signal is associated with acute territorial cerebral ischemic events detected by diffusion-weighted MRI. Circ Cardiovasc Imaging. 2012;5:376–382. doi: 10.1161/CIRCIMAGING.111.967398
80.
Noguchi T, Yamada N, Higashi M, Goto Y, Naito H. High-intensity signals in carotid plaques on T1-weighted magnetic resonance imaging predict coronary events in patients with coronary artery disease. J Am Coll Cardiol. 2011;58:416–422. doi: 10.1016/j.jacc.2011.01.056
81.
Pletsch-Borba L, Selwaness M, van der Lugt A, Hofman A, Franco OH, Vernooij MW. Change in carotid plaque components: a 4-year follow-up study with serial MR imaging. JACC Cardiovasc Imaging. 2018;11:184–192. doi: 10.1016/j.jcmg.2016.12.026
82.
Selwaness M, van den Bouwhuijsen Q, van Onkelen RS, Hofman A, Franco OH, van der Lugt A, Wentzel JJ, Vernooij M. Atherosclerotic plaque in the left carotid artery is more vulnerable than in the right. Stroke. 2014;45:3226–3230. doi: 10.1161/STROKEAHA.114.005202
83.
Singh N, Moody AR, Rochon-Terry G, Kiss A, Zavodni A. Identifying a high risk cardiovascular phenotype by carotid MRI-depicted intraplaque hemorrhage. Int J Cardiovasc Imaging. 2013;29:1477–1483. doi: 10.1007/s10554-013-0229-3
84.
Sun J, Canton G, Balu N, Hippe DS, Xu D, Liu J, Hatsukami TS, Yuan C. Blood pressure is a major modifiable risk factor implicated in pathogenesis of intraplaque hemorrhage: an in vivo magnetic resonance imaging study. Arterioscler Thromb Vasc Biol. 2016;36:743–749. doi: 10.1161/ATVBAHA.115.307043
85.
Turc G, Oppenheim C, Naggara O, Eker OF, Calvet D, Lacour JC, Crozier S, Guegan-Massardier E, Henon H, Neau JP, et al; HIRISC study investigators. Relationships between recent intraplaque hemorrhage and stroke risk factors in patients with carotid stenosis: the HIRISC study. Arterioscler Thromb Vasc Biol. 2012;32:492–499. doi: 10.1161/ATVBAHA.111.239335
86.
Yoshimura S, Yamada K, Kawasaki M, Asano T, Kanematsu M, Takamatsu M, Hara A, Iwama T. High-intensity signal on time-of-flight magnetic resonance angiography indicates carotid plaques at high risk for cerebral embolism during stenting. Stroke. 2011;42:3132–3137. doi: 10.1161/STROKEAHA.111.615708
87.
Krejza J, Arkuszewski M, Kasner SE, Weigele J, Ustymowicz A, Hurst RW, Cucchiara BL, Messe SR. Carotid artery diameter in men and women and the relation to body and neck size. Stroke. 2006;37:1103–1105. doi: 10.1161/01.STR.0000206440.48756.f7
88.
Lam CSP. How to incorporate sex and gender into the design of cardiovascular clinical trials. Circulation. 2022;145:499–501. doi: 10.1161/CIRCULATIONAHA.121.058771
89.
Man JJ, Beckman JA, Jaffe IZ. Sex as a biological variable in atherosclerosis. Circ Res. 2020;126:1297–1319. doi: 10.1161/CIRCRESAHA.120.315930
90.
Touze E, Rothwell PM. Sex differences in heritability of ischemic stroke: a systematic review and meta-analysis. Stroke. 2008;39:16–23. doi: 10.1161/STROKEAHA.107.484618
91.
Gasbarrino K, Di Iorio D, Daskalopoulou SS. Importance of sex and gender in ischaemic stroke and carotid atherosclerotic disease. Eur Heart J. 2022;43:460–473. doi: 10.1093/eurheartj/ehab756
92.
Hartman RJG, Mokry M, Pasterkamp G, den Ruijter HM. Sex-dependent gene co-expression in the human body. Sci Rep. 2021;11:18758. doi: 10.1038/s41598-021-98059-9
93.
Hartman RJG, Owsiany K, Ma L, Koplev S, Hao K, Slenders L, Civelek M, Mokry M, Kovacic JC, Pasterkamp G, et al. Sex-stratified gene regulatory networks reveal female key driver genes of atherosclerosis involved in smooth muscle cell phenotype switching. Circulation. 2021;143:713–726. doi: 10.1161/CIRCULATIONAHA.120.051231
94.
Sangiorgi G, Roversi S, Biondi Zoccai G, Modena MG, Servadei F, Ippoliti A, Mauriello A. Sex-related differences in carotid plaque features and inflammation. J Vasc Surg. 2013;57:338–344. doi: 10.1016/j.jvs.2012.07.052
95.
Ahmed S, Spence JD. Sex differences in the intestinal microbiome: interactions with risk factors for atherosclerosis and cardiovascular disease. Biol Sex Differ. 2021;12:35. doi: 10.1186/s13293-021-00378-z
96.
Urbanski K, Ludew D, Filip G, Filip M, Sagan A, Szczepaniak P, Grudzien G, Sadowski J, Jasiewicz-Honkisz B, Sliwa T, et al. CD14(+)CD16(++) “nonclassical” monocytes are associated with endothelial dysfunction in patients with coronary artery disease. Thromb Haemost. 2017;117:971–980. doi: 10.1160/TH16-08-0614
97.
Rogacev KS, Ulrich C, Blomer L, Hornof F, Oster K, Ziegelin M, Cremers B, Grenner Y, Geisel J, Schlitt A, et al. Monocyte heterogeneity in obesity and subclinical atherosclerosis. Eur Heart J. 2010;31:369–376. doi: 10.1093/eurheartj/ehp308
98.
Cannon JG, Sharma G, Sloan G, Dimitropoulou C, Baker RR, Mazzoli A, Kraj B, Mulloy A, Cortez-Cooper M. Leptin regulates CD16 expression on human monocytes in a sex-specific manner. Physiol Rep. 2014;2:e12177. doi: 10.14814/phy2.12177
99.
Heimbeck I, Hofer TP, Eder C, Wright AK, Frankenberger M, Marei A, Boghdadi G, Scherberich J, Ziegler-Heitbrock L. Standardized single-platform assay for human monocyte subpopulations: lower CD14+CD16++ monocytes in females. Cytometry A. 2010;77:823–830. doi: 10.1002/cyto.a.20942
100.
Schulz UG, Rothwell PM. Sex differences in carotid bifurcation anatomy and the distribution of atherosclerotic plaque. Stroke. 2001;32:1525–1531. doi: 10.1161/01.str.32.7.1525
101.
Bos D, Arshi B, van den Bouwhuijsen QJA, Ikram MK, Selwaness M, Vernooij MW, Kavousi M, van der Lugt A. Atherosclerotic carotid plaque composition and incident stroke and coronary events. J Am Coll Cardiol. 2021;77:1426–1435. doi: 10.1016/j.jacc.2021.01.038
102.
Schindler A, Schinner R, Altaf N, Hosseini AA, Simpson RJ, Esposito-Bauer L, Singh N, Kwee RM, Kurosaki Y, Yamagata S, et al. Prediction of stroke risk by detection of hemorrhage in carotid plaques: meta-analysis of individual patient data. JACC Cardiovasc Imaging. 2020;13:395–406. doi: 10.1016/j.jcmg.2019.03.028
103.
van Dam-Nolen DHK, Truijman MTB, van der Kolk AG, Liem MI, Schreuder F, Boersma E, Daemen M, Mess WH, van Oostenbrugge RJ, van der Steen AFW, et al. Carotid plaque characteristics predict recurrent ischemic stroke and TIA: the PARISK (Plaque At RISK) Study. JACC Cardiovasc Imaging. 2022;15:1715–1726. doi: 10.1016/j.jcmg.2022.04.003
104.
Saba L, Mossa-Basha M, Abbott A, Lanzino G, Wardlaw JM, Hatsukami TS, Micheletti G, Balestrieri A, Hedin U, Moody AR, et al. Multinational survey of current practice from imaging to treatment of atherosclerotic carotid stenosis. Cerebrovasc Dis. 2021;50:108–120. doi: 10.1159/000512181
105.
Saba L, Moody AR, Saam T, Kooi ME, Wasserman BA, Staub D, van der Lugt A, DeMarco JK, Saloner D, Wintermark M, et al. Vessel wall-imaging biomarkers of carotid plaque vulnerability in stroke prevention trials: a viewpoint from the Carotid Imaging Consensus Group. JACC Cardiovasc Imaging. 2020;13:2445–2456. doi: 10.1016/j.jcmg.2020.07.046

eLetters(0)

eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.

Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.

Information & Authors

Information

Published In

Versions

You are viewing the most recent version of this article.

History

Received: 3 June 2022
Revision received: 29 September 2022
Accepted: 4 October 2022
Published online: 29 November 2022
Published in print: February 2023

Permissions

Request permissions for this article.

Keywords

  1. atherosclerotic plaque
  2. atherosclerosis
  3. carotid stenosis
  4. computed tomography angiography
  5. ischemic stroke
  6. magnetic resonance imaging
  7. sex characteristics

Subjects

Authors

Affiliations

Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.
Department of Neurology (D.H.K.v.D.-N., P.J.K.), Erasmus University Medical Center Rotterdam, the Netherlands.
Nina C.M. van Egmond, BSc https://orcid.org/0000-0003-0756-2981
Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.
Peter J. Koudstaal, MD, PhD https://orcid.org/0000-0003-4998-9609
Department of Neurology (D.H.K.v.D.-N., P.J.K.), Erasmus University Medical Center Rotterdam, the Netherlands.
Aad van der Lugt, MD, PhD https://orcid.org/0000-0002-6159-2228
Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.
Department of Radiology and Nuclear Medicine (D.H.K.v.D.-N., N.C.M.v.E., A.v.d.L., D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.
the Department of Epidemiology (D.B.), Erasmus University Medical Center Rotterdam, the Netherlands.

Notes

This manuscript was sent to Emmanuel Touzé, Guest Editor, for review by expert referees, editorial decision, and final disposition.
Supplemental Material is available at Supplemental Material.
For Sources of Funding and Disclosures, see page 323.
Correspondence to: Dianne H.K. van Dam-Nolen, MD, Erasmus University Medical Center, Department of Radiology and Nuclear Medicine, room Na-2513, PO Box 2040 3000 CA Rotterdam, the Netherlands. Email [email protected]

Disclosures

Disclosures None.

Sources of Funding

None.

Metrics & Citations

Metrics

Citations

Download Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Select your manager software from the list below and click Download.

  1. Temporal trends and disparities in atherosclerosis-associated cerebrovascular disease mortality in the United States, 1999-2020, Current Problems in Cardiology, 50, 2, (102935), (2025).https://doi.org/10.1016/j.cpcardiol.2024.102935
    Crossref
  2. Precision mitochondrial medicine: Uncovering pathways across diverse diseases, Implementation of Personalized Precision Medicine, (115-169), (2025).https://doi.org/10.1016/B978-0-323-98808-7.00007-2
    Crossref
  3. Lipoprotein Metabolism, Dyslipidemia, and Lipid-Lowering Therapy in Women: A Comprehensive Review, Pharmaceuticals, 17, 7, (913), (2024).https://doi.org/10.3390/ph17070913
    Crossref
  4. Machine Learning Modeling to Predict Atrial Fibrillation Detection in Embolic Stroke of Undetermined Source Patients, Journal of Personalized Medicine, 14, 5, (534), (2024).https://doi.org/10.3390/jpm14050534
    Crossref
  5. A Nationwide Analysis in France on Sex Difference and Outcomes Following Carotid Intervention in Asymptomatic Patients, Journal of Clinical Medicine, 13, 19, (6019), (2024).https://doi.org/10.3390/jcm13196019
    Crossref
  6. Characterization of Atherosclerotic Mice Reveals a Sex-Dependent Susceptibility to Plaque Calcification but No Major Changes in the Lymphatics in the Arterial Wall, International Journal of Molecular Sciences, 25, 7, (4046), (2024).https://doi.org/10.3390/ijms25074046
    Crossref
  7. Mendelian randomization studies of lifestyle-related risk factors for stroke: a systematic review and meta-analysis, Frontiers in Endocrinology, 15, (2024).https://doi.org/10.3389/fendo.2024.1379516
    Crossref
  8. Understanding the Relationship Between Vascular Smooth Muscle Cell Function and the Efficacy of Acupuncture in Treating Cerebral Ischemic Stroke: A Preclinical Meta-Analysis and Systematic Review, Journal of Pain Research, Volume 17, (1693-1707), (2024).https://doi.org/10.2147/JPR.S449499
    Crossref
  9. Intracranial atherosclerosis: the current state of the problem (literature review), "Arterial’naya Gipertenziya" ("Arterial Hypertension"), 30, 4, (354-363), (2024).https://doi.org/10.18705/1607-419X-2024-2425
    Crossref
  10. Factors associated with carotid artery calcification in the general working-age population, Cardiovascular Therapy and Prevention, 23, 9, (4062), (2024).https://doi.org/10.15829/1728-8800-2024-4062
    Crossref
  11. See more
Loading...

View Options

View options

PDF and All Supplements

Download PDF and All Supplements

PDF/EPUB

View PDF/EPUB
Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Personal login Institutional Login
Purchase Options

Purchase this article to access the full text.

Purchase access to this article for 24 hours

Sex Differences in Carotid Atherosclerosis: A Systematic Review and Meta-Analysis
Stroke
  • Vol. 54
  • No. 2

Purchase access to this journal for 24 hours

Stroke
  • Vol. 54
  • No. 2
Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

Media

Figures

Other

Tables

Share

Share

Share article link

Share

Comment Response