Literature DB >> 33178798

Magnetic resonance imaging of carotid plaques: current status and clinical perspectives.

Mohamed Kassem1,2, Alexandru Florea2,3, Felix M Mottaghy2,3, Robert van Oostenbrugge1,4, M Eline Kooi1,2.   

Abstract

Rupture of a vulnerable carotid plaque is one of the leading causes of stroke. Carotid magnetic resonance imaging (MRI) is able to visualize all the main hallmarks of plaque vulnerability. Various MRI sequences have been developed in the last two decades to quantify carotid plaque burden and composition. Often, a combination of multiple sequences is used. These MRI techniques have been extensively validated with histological analysis of carotid endarterectomy specimens. High agreement between the MRI and histological measures of plaque burden, intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous cap (FC) status, inflammation and neovascularization has been demonstrated. Novel MRI sequences allow to generate three-dimensional isotropic images with a large longitudinal coverage. Other new sequences can acquire multiple contrasts using a single sequence leading to a tremendous reduction in scan time. IPH can be easily identified as a hyperintense signal in the bulk of the plaque on strongly T1-weighted images, such as magnetization-prepared rapid acquisition gradient echo images, acquired within a few minutes with a standard neurovascular coil. Carotid MRI can also be used to evaluate treatment effects. Several meta-analyses have demonstrated a strong predictive value of IPH, LRNC, thinning or rupture of the FC for ischemic cerebrovascular events. Recently, in a large meta-analysis based on individual patient data of asymptomatic and symptomatic individuals with carotid artery stenosis, it was shown that IPH on MRI is an independent risk predictor for stroke, stronger than any known clinical risk parameter. Expert recommendations on carotid plaque MRI protocols have recently been described in a white paper. The present review provides an overview of the current status and applications of carotid plaque MR imaging and its future potential in daily clinical practice. 2020 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Atherosclerosis; carotid artery; magnetic resonance imaging (MRI); stroke

Year:  2020        PMID: 33178798      PMCID: PMC7607136          DOI: 10.21037/atm-2020-cass-16

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

From numerous histopathological studies, it is well known that vulnerable plaque rupture, rather than perfusion defects due to luminal narrowing, is an important cause of stroke (1). Atherosclerosis is a chronic inflammatory disease of the large arteries characterized by the accumulation of lipids in the vessel wall and the formation of fibrous tissue (2). Bifurcations are preferential sites of plaque formation because of the locally reduced wall shear stress (3), which leads to an impaired endothelial function (4). More advanced lesions are characterized by a lipid-rich necrotic core (LRNC), which is separated from the lumen by a fibrous cap (FC) (5). Plaques can become increasingly complex, with calcifications, ulcerations, and intraplaque hemorrhage (IPH), thereby increasing the risk to rupture. It is well known that plaque characteristics such as IPH, a large LRNC, and a thin or ruptured fibrous cap (TRFC) are associated with cerebrovascular symptoms. Therefore, diagnostic techniques providing information on the plaque vulnerability have been proposed as more accurate prognostic stratification methods compared to the simple measurement of luminal stenosis. Magnetic resonance imaging (MRI) provides excellent soft tissue contrast, no ionizing radiation, and is not subject to technical challenges, such as shadowing or blooming artefacts caused by calcium deposits. It is also uniquely suited to visualize IPH, which is a strong and independent predictor for stroke (6). MRI is currently recognized as the optimal imaging modality for carotid plaque burden quantification and non-invasive assessment of plaque composition (7). MRI is well validated, highly reproducible and can be used to predict stroke and evaluate treatment effects (8-10). MRI studies also provided more insight in factors that contribute to plaque progression and clinical symptoms, since now, for the first time, the plaque could be followed in time, also before the occurrence of clinical symptoms. In this review, the ability of MRI to quantify most the important plaque features will be discussed. We will provide an overview of pros and cons of different carotid MRI sequences. The associations of plaque components on MRI with stroke and the predictive value of carotid MRI for stroke will be reviewed. We will summarize the current status of carotid plaque MRI. Moreover, the capability of MRI to measure treatment effects will be elucidated. Additionally, we will discuss novel insights on carotid atherosclerosis that were derived from longitudinal MRI studies. Finally, we will describe new developments and clinical perspectives.

Histopathological evidence on plaque vulnerability

Numerous histopathological studies have contributed to the concept that rupture of the FC and subsequent thrombosis and embolization is the most important cause of stroke and myocardial infarction (11,12). It is well known that patients with symptomatic carotid artery disease have an enlarged LRNC, and a higher prevalence of a TRFC (13-15). Inflammation, mainly represented by activated macrophages is another hallmark of vulnerable plaques (16-19). Leaky angiogenic micro-vessels can be a port of entry for inflammatory cells and erythrocytes, leading to further plaque destabilization (20). IPH is also considered as a key factor that is associated with neurological symptoms and is thought to stimulate plaque progression (3,5,21-25). The carotid histological plaque composition in symptomatic patients that underwent CEA is an independent predictor of future cardiovascular events (26,27). Concluding, histopathological studies provided important clues for novel imaging targets, including macrophage-mediated inflammatory changes, neo-angiogenesis, IPH, a large LRNC, and the status of the FC.

MR imaging of carotid plaques

In the last two decades, MRI was established as the preferred imaging modality to study carotid plaque features (28). High-resolution, multi-contrast carotid MRI can identify and quantify atherosclerotic plaque components (28). The validity of these techniques has been extensively proven using histopathology as a reference standard () (7,8,33). Large multicenter MRI studies demonstrated its feasibility (41). Toussaint et al. were the first to show that MRI allows in vivo discrimination of the LRNC, calcifications, and IPH (42). A year later, von Ingersleben et al. confirmed that hemorrhagic regions, calcium, lipid deposits, and fibrous tissue within carotid plaques could be identified using MRI (43). The different plaque components (i.e., LRNC, IPH, calcification, and TRFC) can be distinguished using a combination of various MRI pulse sequences, such as pre- and post-contrast T1w turbo-spin echo (44), magnetization-prepared rapid acquisition gradient echo (MPRAGE), and time of flight (TOF) () (45,46). Fat suppression is required to reduce signals from perivascular and subcutaneous adipose tissue. In addition to bright blood MR images to visualize juxtaluminal calcifications, black blood pre-pulses are crucial to optimize contrast between the vessel wall and the lumen. Initially, T2-weighted MRI (T2w) was used to identify the LRNC (34). Later studies revealed that contrast-enhanced (CE)-MRI enabled improved discrimination of the FC and LRNC compared to conventional T2w MRI (47). Ultra-small superparamagnetic iron oxide particles (ferumoxtran-10) can be used to quantify plaque inflammation (48,49). However, this contrast medium is not widely available. Dynamic contrast-enhanced (DCE)-MRI allows to study plaque microvasculature (50,51). 2D black blood sequences are limited by the slice thickness, which hampers reproducible quantification due to partial volume effects. These challenges were overcome by recent advancements in three-dimensional (3D) sequences, which provide isotropic 3D images of the entire cervical carotid arteries (52-56) also enabling multi-planar reformatting.
Table 1

Validation of carotid MRI

Plaque componentMR sequenceSensitivity/specificity or correlation with histologyAgreement
IPHMPRAGE84%/84% (29)
MPRAGE93%/96% (7)
SNAP versus MPRAGEκ=0.82 (30)
Meta-analysis87%/92% (31)
LRNCPre- and post-contrast T1W98%/100 (32). Strongly correlated with histology (Pearson’s r=0.84, P<0.001) (33)Inter-observer agreement (ICC, 0.89; 95% CI: 0.81–0.93) (33)
T2W (if contrast injection is contraindicated)85%/92% (34), 90%/84% (35), 95%/76% (36). Correlation with histology (r=0.75; P<0.001) (36)Inter-reader reproducibility for area measurements of LRNC (ICC: 0.92, 95% CI: 0.82–0.97) (36)
TRFCPre- and post-contrast T1WCorrelation with histology (r=0.80, P<0.001) (33)Inter-observer agreement (ICC: 0.78; 95% CI: 0.68–0.86) (33)
T2W or TOF if contrast injection is contraindicated90%/84% (35)Agreement with histology κ=0.87 (37)
CalcificationsBright blood image and in addition at least one other weightingWith histology (r=0.74; P<0.001) (36)Inter-observer agreement (ICC: 0.9; 95% CI: 0.77–0.96). Agreement with histology (κ=0.75, 95% CI: 0.66–0.84) (36)
UlcerationCE-MRAInter-observer agreement (κ=0.86, 95% CI: 0.77–0.95) (38)
TOF (if contrast injection is contraindicated)TOF: 81%/90% (39)(κ=0.72, 95% CI: 0.58–0.86) (38)
SNAP vs. conventional multi-contrast(κ=0.82, 95% CI: 0.65–0.99) (40)

MRI, magnetic resonance imaging; IPH, intraplaque hemorrhage; LRNC, lipid-rich necrotic core; TRFC, thin or ruptured fibrous cap; MPRAGE, magnetization-prepared rapid acquisition gradient echo; SNAP, simultaneous non-contrast angiography and IPH; TOF, time of flight; CE-MRA, contrast-enhanced MR angiography.

Figure 1

Transversal magnetic resonance (MR) images of a carotid plaque in the right carotid artery with intraplaque hemorrhage (IPH). The following MR sequences were acquired (A) pre-contrast T1w-weighted (T1w) quadruple inversion recovery (QIR) turbo-spin echo (44), (B) post-contrast T1w QIR TSE, (C) T2w TSE, (D) T1w inversion recovery (IR) turbo-field echo (TFE) and (E)time of flight (TOF). A lipid-rich necrotic core LRNC was identified as a region within the bulk of the plaque that does not show contrast enhancement (* on B) with thin and/or ruptured fibrous cap (small arrow on panel B). On the T1 IR-TFE image, a hyper-intense signal in the bulk of the plaque can be clearly observed, indicating the presence of intraplaque hemorrhage IPH within the area of LRNC (* on panel D). Calcification was identified as low signal intensity on TOF and at least two other weightings (long arrow on A, B and E). Panel (F) shows the plaque contours on the pre-contrast T1w QIR TSE images (green = outer vessel wall, red = inner vessel wall, yellow = lipid-rich necrotic core, blue = IPH, orange/brown = calcifications).

MRI, magnetic resonance imaging; IPH, intraplaque hemorrhage; LRNC, lipid-rich necrotic core; TRFC, thin or ruptured fibrous cap; MPRAGE, magnetization-prepared rapid acquisition gradient echo; SNAP, simultaneous non-contrast angiography and IPH; TOF, time of flight; CE-MRA, contrast-enhanced MR angiography. Transversal magnetic resonance (MR) images of a carotid plaque in the right carotid artery with intraplaque hemorrhage (IPH). The following MR sequences were acquired (A) pre-contrast T1w-weighted (T1w) quadruple inversion recovery (QIR) turbo-spin echo (44), (B) post-contrast T1w QIR TSE, (C) T2w TSE, (D) T1w inversion recovery (IR) turbo-field echo (TFE) and (E)time of flight (TOF). A lipid-rich necrotic core LRNC was identified as a region within the bulk of the plaque that does not show contrast enhancement (* on B) with thin and/or ruptured fibrous cap (small arrow on panel B). On the T1 IR-TFE image, a hyper-intense signal in the bulk of the plaque can be clearly observed, indicating the presence of intraplaque hemorrhage IPH within the area of LRNC (* on panel D). Calcification was identified as low signal intensity on TOF and at least two other weightings (long arrow on A, B and E). Panel (F) shows the plaque contours on the pre-contrast T1w QIR TSE images (green = outer vessel wall, red = inner vessel wall, yellow = lipid-rich necrotic core, blue = IPH, orange/brown = calcifications). Initially, most studies were performed using 1.5 Tesla MRI. Later, 3.0 Tesla MRI studies were performed to enable improved spatial resolution or better signal-to-noise ratio (SNR) (57-59). Dedicated multi-element carotid radiofrequency MRI coils can be used to acquire images with high SNR and/or high spatial resolution (60,61). This is especially important when visualizing small structures such as the FC. It has been shown that IPH can also be detected using a standard neurovascular coil (45). Recently, novel sequences such as multi-contrast atherosclerosis characterization (MATCH) and simultaneous non-contrast angiography and IPH (SNAP), have been developed that allow the generation of multi-contrast imaging with a single sequence, leading to a tremendous reduction in scan time and resulting in inherent image co-registration (30,62). Recently, expert recommendations on vessel wall MR imaging protocol have been described in white paper (63).

Plaque burden

Luminal stenosis does not adequately represent plaque burden because of the compensatory enlargement as a response to plaque growth (Glagov remodelling) (64). Therefore, imaging modalities that assess vessel wall dimensions, i.e., plaque burden, provide a more accurate measure of plaque size and severity than current clinically used imaging modalities that only measure carotid artery stenosis. MRI is the most suited imaging technique to quantify plaque burden because its ability to obtain high-resolution three-dimensional images with high contrast between the vessel wall, the lumen and the perivascular tissue (). Plaque burden measurements are commonly obtained by subtracting the luminal area from the area that encompasses the outer vessel wall and summing these areas from all MRI slices times the slice thickness, taking into account the slice gap (65). The normalized wall index (NWI), defined as the wall area divided by the total vessel area, was proposed to overcome the different size of carotid arteries in the population (66). It is a very accurate and reproducible measure (67,68). In the early days, it was shown that slow or turbulent flow can lead to plaque-mimicking artefacts, thereby overestimating the vessel wall (69). Therefore, black blood pre-pulses are required. Early efforts of black blood MRI, using double inversion recovery prepulses in combination with 2D fast-spin echo imaging, revealed that MRI measurements of vessel wall dimensions (wall volume, maximum wall and minimum luminal area) are highly correlated with volumetric measurements of ex vivo CEA specimens (Pearson’s R≥0.90) (70). To obtain black blood images with the double inversion technique, different inversion times are required before and after contrast injection. Therefore, the quadruple inversion recovery technique was developed to acquire black blood MR images before and after contrast injection using the same sequence (52). Inversion recovery techniques depend on outflow of blood from the imaging plane in the time period between the inversion pulse(s) and the acquisition of the MRI signal and are therefore problematic in combination with three-dimensional imaging, where thick imaging slabs are excited. Alternative black blood pre-pulses were developed such as multi-slice motion-sensitized driven-equilibrium pre-pulses that do not depend on outflow (69). Novel 3D black blood sequences such as 3D-MERGE (71) and Delay Alternating with Nutation for Tailored Excitation (DANTE)-prepared 3D MRI (53), offer a high isotropic spatial resolution and the capability to cover the entire cervical carotid arteries. Its short imaging time, ease of use, and ability to accurately assess plaque burden makes these sequences well suited for clinical implementation. MRI can also be used to quantify the common carotid artery wall dimensions. It was shown that these dimensions correlate well (r=0.89, P<0.001) with common carotid intima-media thickness as measured with B-mode ultrasound, however with a much smaller measurement variability for MRI (72). Therefore, when the thickness of the common carotid artery wall is used as a surrogate measure in cardiovascular prevention trials smaller sample sizes and potentially shorter study duration may be possible when using MRI instead of B-mode ultrasound. Recently, it was pointed out by Paraskevas et al., that there is confusion in literature on intima-media thickness (73). Some ultrasound studies have measured the thickness of the far wall of the distal common carotid artery, at a site where there is no plaque, while others included plaque thickness in the measurement of intima-media thickness. The latter method results in an invalid comparison since the vessel wall thickness of patients with and without plaque is a very distinct feature (73).

IPH

To date, IPH is the most widely described predictor of stroke from carotid plaque MRI (6,46,74). The depiction of IPH as a hyper-intense signal compared to surrounding muscle tissue using an MPRAGE sequence () was first presented by Moody et al. (29). Due to relatively short T1 relaxation time of methemoglobin, IPH is hyper-intense on all T1w images (54,75). Cappendijk et al. showed a high detection rate (>80%) of IPH on MPRAGE images, also known as T1w inversion recovery turbo-field echo (IR-TFE) MRI, using histology as a reference standard (76). The IR-TFE sequence performed superior for the detection of IPH compared to a black blood T1w TSE sequence. The inter-observer agreement was high for the IR-TFE (κ=0.73), while it was low for the T1w TSE sequence (κ=0.35). Later, Ota et al. confirmed that MPRAGE has a higher specificity (97%) and sensitivity (80%) for the detection of IPH compared to fast-spin echo and TOF sequences (77). Semi-automatic quantification of IPH volume on MRI has shown to correlate well with histology (54,75,78,79). IPH can also be identified on contrast-enhanced MR angiography (CE-MRA) mask images (80). Recently, a multi-contrast sequence, 3D-SNAP, was developed to detect lumen stenosis and IPH with a single sequence with inherent image co-registration. Its performance for the identification of IPH was comparable with MPRAGE (κ=0.82) (30). Alternatively, another multi-contrast sequence, MATCH simultaneously obtains 3 different contrast weightings (hyper-T1w, T1w, and gray blood) in a 5-minute scan to image IPH, the LRNC and calcifications (62). These novel multi-contrast sequences may represent alternatives for multi-sequence MR imaging. However, larger studies to validate MATCH are required. A meta-analysis on the diagnostic performance of MRI for detecting IPH in the carotid arteries revealed excellent specificity (92%) and good sensitivity (87%) (31). Moreover, carotid plaque T1 mapping has been developed to obtain more quantitative, reproducible measurements of IPH (81,82).

LRNC

The LRNC has a short transverse relaxation time (T2) compared to the surrounding fibrous tissue (83). Therefore, the LRNC is detected as hypo-intense on T2w images. Later, it was shown that the contrast between the LRNC and fibrous tissue increases after contrast injection (36,55,84). The LRNC can be identified as a focal non-enhancing region on CE- T1w MR images (). The LRNC area can be measured more reproducibly on the contrast-enhanced than the pre-contrast-enhanced images (55,56). The coefficient of variation decreased from 33.5% to 17.6% for interreader measurements (85).

FC status

FC rupture or ulceration exposes the thrombogenic interior of the plaque to platelets and coagulation factors, which can lead to thrombus formation and distal embolization with clinical consequences. Hatsukami et al. (37) described for the first time that the FC status can be determined with MRI using a 3D-TOF sequence. High sensitivity (0.81) and specificity (0.90) has been revealed for identifying the status of the FC by using multi-sequence (TOF, T1w, proton density, and T2w) MRI (39). Contrast-enhanced MRI (using a gadolinium-based contrast medium) enables to measure the dimensions of the FC (33). After gadolinium administration, the FC strongly enhances, whereas the LRNC enhances only slightly (32,33,47). The inter-observer agreement for assessment of FC status using pre-and post-contrast T1w TSE MRI is good (κ=0.64–0.74) (86).

Ulceration

Computed tomography angiography is considered the best noninvasive imaging modality to evaluate carotid plaque ulceration with a sensitivity and specificity of 94 and 99%, respectively (38,87,88). MRA can identify the presence of carotid ulcerations with a sensitivity similar to computed tomography angiography (38,89). CE-MRA was superior (sensitivity: 82%) to TOF-MRA (sensitivity: 55%) for the detection of carotid ulcerations (38). In addition, CE-MRA can identify ulcerations in calcified plaques, which is considered as a limitation of CTA (90). The addition of a longitudinal black blood MRA to a cross-sectional multi-sequence vessel wall MR imaging protocol increases the accuracy of detecting carotid atherosclerotic plaque ulcerations (91).

Inflammation and neovascularization

DCE-MRI can be used to quantify plaque microvasculature (50,92). Ktrans (volume transfer coefficient) as derived from pharmacokinetic modeling of DCE-MRI showed a significant correlation (with excised plaque neo-vascularity (R=0.41–0.7) (51,93,94). This technique has been shown to be highly reproducible and reliable (coefficient of variation: 16% for Ktrans) (51). Alternatively, gadofosveset-enhanced MRI can be used to visualize plaque microvasculature without the need to use pharmacokinetic modeling. (95). van Hoof et al. reviewed the current status and future potential of DCE-MRI in the evaluation of plaque microvasculature (92). Recently, Yuan et al. demonstrated the feasibility of using a single sequence to acquire both high-resolution 4D CE-MRA and DCE-MRI to evaluate both plaque surface morphology and function (96). Ultrasmall superparamagnetic particles of iron oxide (ferumoxtran-10)-enhanced MRI has been shown to be strongly associated with carotid plaque macrophage infiltration on histology as these particles are taken up by macrophages (49,97,98). Ferumoxtran-10, however, is not broadly available. Alternatively, PET/MRI can be used to study plaque inflammation and composition with a single examination (99-101).

Associations between plaque composition on MRI and stroke

Cross-sectional studies

The ability of MRI to distinguish high-risk and low-risk plaques was demonstrated in several proof-of-concept studies. It has been demonstrated that enlarged plaque burden, IPH, LRNC, TRFC, inflammation and neovascularization are more common in symptomatic lesions as summarized below. The relationship between carotid plaque burden and stroke risk has been demonstrated in various studies (). Carotid plaque burden was found to be greater in patients with recurrent stroke than that in those with first-time stroke (114). Carotid plaque burden was significantly associated with ipsilateral acute cerebral infarction volume independent of the degree of carotid stenosis (115). Recently Liu et al. showed that carotid plaque burden in patients with ≥1.5 mm carotid plaques was associated with the presence of acute stroke (116). Based on numerous ultrasound studies, it is well known that plaque burden is a better parameter for risk prediction than measurement of the common carotid artery intima-media thickness (73).
Table 2

Relation between carotid plaque MRI parameters and cerebrovascular symptoms

Plaque componentAssociation with cerebrovascular symptomsPredictive value for cerebrovascular events
IPH60% symptomatic vs. 36% asymptomatic (102); 37.5% vs. 0% (103,104); (HR: 3.5; 95% CI: 1.05–11.87; P=0.040) (105)5–6-fold higher risk for cerebrovascular events (HR: 5.69; 95% CI: 2.98–10.87) (74); (HR: 4.59, 95% CI: 2.92–7.24) (46). IPH at baseline predicts ipsilateral stroke in symptomatic (HR: 10.2, 95% CI: 4.6–22.5) and asymptomatic patients (HR: 7.9, 95% CI: 1.3–47.6) (6)
LRNC(HR: 3.2001; 95% CI: 1.078–9.504; P=0.036) (105)(HR: 3.00, 95% CI: 1.51–5.95) (46); presence of LRNC predicts cardiovascular events (hazard ratio of one standard deviation increase in percent lipid core volume: (HR: 1.57, 95% CI: 1.22–2.01) (106)
TRFCPatients with ruptured fibrous caps were 23 times more likely to have had recent ischemic neurological symptoms (95% CI: 3–210) (107); (HR: 5.756; 95% CI: 1.9–17.3; P=0.002) (105)The hazard ratio for TRFC as predictor of stroke/TIA (HR: 5.93, 95% CI: 2.65–13.29) (46). The hazard ratio for TRFC as predictor of cardiovascular events (HR: 4.31; 95% CI: 1.67–11.1) (106)
CalcificationsCalcified plaques were found to be 21 times less likely to be symptomatic than non-calcified plaques (108)
Ulceration86% Symptomatic vs. 36% asymptomatic; P=0.039 (109-113)

MRI, magnetic resonance imaging; IPH, intraplaque hemorrhage; LRNC, lipid-rich necrotic core; TRFC, thin or ruptured fibrous cap.

MRI, magnetic resonance imaging; IPH, intraplaque hemorrhage; LRNC, lipid-rich necrotic core; TRFC, thin or ruptured fibrous cap. It is well known that carotid IPH is associated with ipsilateral stroke in patients with ≥50% carotid stenosis (46,115,117-120). IPH is more prevalent in the ipsilateral carotid artery compared with the contralateral, asymptomatic, side (60% vs. 36%) (102) (). Interestingly, in patients that were diagnosed with cryptogenic stroke and a non-stenotic (<50%) carotid plaque, a higher prevalence of IPH was also reported by several studies on the ipsilateral side in several studies (103,104,121,122), indicating that in a subgroup of these patients IPH may have been the underlying cause of the patients that were diagnosed with cryptogenic stroke. The presence of IPH also increased the risk for ipsilateral abnormalities on diffusion-weighted imaging (OR: 6.2, 95% CI: 1.7–21.8, P<0.05) (123). The need to assess the LRNC is justified by two important clinical needs: a large LRNC can lead to plaque rupture and LRNC size can be used to monitor treatment effects of lipid-lowering medication (124). The LRNC volume was shown to be significantly associated with the severity of cerebral infarction on DWI MRI (115). The multicenter CARE-II study of 687 symptomatic patients with an intima-media thickness ≥1.5 mm showed that the volume of the LRNC was significantly associated with TIA/stroke (116,125). Several studies showed that there is a strong association between FC rupture on MRI and recent stroke or transit ischemic attack (TIA) (105,107,126) (). In symptomatic patients, the volume of IPH was associated with FC disruption in carotid arteries (OR: 2.867, 95% CI: 1.505–5.461; P=0.001) after adjusting for clinical confounding factors and plaque burden (127). The irregular plaque surface as determined by MRI was an independent indicator for ipsilateral stroke in patients with carotid plaque (≥1.5 mm) (128).

Prospective longitudinal studies

A large number of studies have reported the ability of MRI to identify patients at higher (or lower) risk of stroke (6,46,74,105,129,130). Prevention of primary stroke in asymptomatic patients is very challenging since the degree of stenosis is not an adequate predictor for stroke (131,132). Prospective studies in asymptomatic patients with carotid artery stenosis (50–79%) showed that an increase in vessel wall thickness is associated with a larger risk for subsequent ischemic cerebrovascular symptoms (HR for 1 mm increase: 1.6; 95% CI: 1.1–2.3) (129). The predictive value of IPH, LRNC, and TRFC (46,74) as assessed by MRI for cerebrovascular events was determined in several studies. There were considerable differences between these studies regarding the degree of stenosis as well as the symptomatic status (46,74). Meta-analyses showed a significant positive relationship between IPH and the risk of future ischemic events (HR: 5.69, 95% CI: 2.98–10.87) (74), (HR: 4.59, 95% CI: 2.92–7.24) (46). Over a median follow-up of 19.6 months, the presence of IPH was associated with a 6-fold higher risk for cerebrovascular ischemic events (74) (). HRs for LRNC and TRFC as predictors of subsequent stroke/transient ischemic attack were (3.00, 95% CI: 1.51–5.95) and (5.93, 95% CI: 2.65–13.20), respectively (46). Lately, Schindler et al. performed a large meta-analysis of individual patient data from 7 cohort studies including 560 and 136 patients with symptomatic and asymptomatic carotid stenosis, respectively, with ipsilateral stroke as the primary endpoint (6). IPH was present in 51.6% and 29.4% of the patients with symptomatic and asymptomatic carotid stenosis, respectively. Presence of IPH at baseline increased the risk of ipsilateral stroke both in symptomatic (HR: 10.2, 95% CI: 4.6–22.5) and asymptomatic (HR: 7.9, 95% CI: 1.3–47.6) patients (). A multivariate analysis in symptomatic patients showed that the risk of ipsilateral stroke was independently increased by the presence of IPH (HR: 11.0, 95% CI: 4.8–25.1) and severe degree of stenosis (HR: 3.3, 95% CI: 1.4–7.8) (6). Among symptomatic patients, carotid IPH was a stronger predictor of stroke risk than any known clinical risk factors. Among patients with symptomatic carotid stenosis, annualized event rates of ipsilateral stroke in those with IPH vs. those without were 9.0% vs. 0.7% (<50% stenosis), 18.1% vs. 2.1% (50% to 69% stenosis), and 29.3% vs. 1.5% (70% to 99% stenosis). This also confirms that also cryptogenic stroke patients with a non-stenotic (<50% stenosis) plaque with IPH are at increased risk for stroke. Annualized event rates among patients with asymptomatic carotid stenosis were 5.4% vs. 0.8% in those with and without IPH, respectively.

Relation between plaque composition and clinical risk factors

Noninvasive MRI can also be used to study the relation between plaque composition and clinical risk factors, also in lower risk populations, for which carotid endarterectomy specimens for histological studies are not available. Carotid IPH is associated with clinical parameters that are known to affect stroke risk, i.e., positively with male sex, blood pressure, age and negatively with statin use (133-135). IPH and LRNC were more prevalent in men compared with women (28.8% vs. 18.3% and 28.9% vs. 21.7%, respectively) (136). In fact, for the same degree of carotid stenosis men have a larger LRNC than women (137). No association was found between total testosterone and LRNC in either sex. Higher total estradiol (OR: 1.58, 95% CI: 1.03–2.40) and lower total testosterone (OR: 0.82, 95% CI: 0.68–0.98) were associated with IPH in women but not in men (138). In the Rotterdam study, a large population study of individuals with ≥2.5 mm plaque, it was shown that systolic blood pressure and pulse pressure were significantly positively associated with IPH (OR: 1.13, 95% CI: 0.99–1.28; OR: 1.22, 95% CI: 1.07–1.40, respectively) after adjustment for age and sex (139). The serum insulin levels are also associated with IPH (OR: 1.42, 95% CI: 1.12–1.7), while they were not associated with the presence of calcifications or a LRNC (140). Recently, Pletsch-Borba et al. (141) showed in a sub-analysis of 198 participants of the Rotterdam study, that hypertension is significantly associated with new IPH and new calcifications over a 4 year period (OR: 3.87, 95% CI: 1.90–7.90; OR: 2.20, 95% CI: 1.07–4.40, respectively), while higher levels of cholesterol were associated with LRNC progression (OR: 1.40, 95% CI: 1.10–1.70). Although statin therapy leads to a reduction in plaque progression (133), patients with IPH may be less sensitive to statin therapy (142). Moreover, statin treatment with any dosage was associated with a higher presence of calcifications (OR: 1.73, 95% CI: 1.22–2.44), while a high dosage of statin treatment was also associated with a lower prevalence of LRNC (OR: 0.66, 95% CI: 0.42–1.04) (143). In another large population study, the Multi-Ethnic Study of Atherosclerosis (MESA), of individuals with thickened carotid vessel wall ≥1 mm, total plasma cholesterol, but not other established clinical risk factors, was strongly associated with the presence of LRNC on MRI.

Determinants of plaque progression

Progression of atherosclerosis is a complex phenomenon. Several studies have shown that IPH leads to enlargement of the lipid core, leading to plaque progression and destabilization (142,144). Kwee et al. showed that the LRNC, IPH and FC status changed only in a minority of TIA/stroke patients with mild to moderate carotid stenosis over a one year period (145).

Ability of MRI to measure treatment effects

High resolution MRI studies on the effects of different statin therapies and different dosages on plaque composition were summarized in a systematic review and meta-analysis (124). Although there was no significant difference in LRNC size at 1–6 months and at 7–12 months following initiation of statin therapy, at >12 months, there was a significant decrease in LRNC volume. In the ORION trial, the mean percentage of the vessel wall composed of LRNC on MRI decreased by >40% (P=0.005) in both low and high dose of rosuvastatin therapy (146). T2-mapping demonstrated a depleted lipid content of the carotid plaque after 3 months of high-intensity statin treatment (atorvastatin 80 mg) from 10.3% (7.2–14.2) to 7.4% (5.4–10.0), P=0.002 (147).

Clinical perspectives and future outlook

The continued high incidence of stroke despite advances in optimized medical therapy strongly indicates that individual response to therapy may vary widely. Numerous histopathological studies performed on CEA specimens have shown that specific plaque features are associated with an increased stroke incidence (26,27). High-resolution, multi-contrast carotid MRI can identify and quantify atherosclerotic components within carotid plaques (7,10,34,63). Multi-contrast sequences enable to obtain images with different contrast with a short single sequence (30,62). MRI is currently recognized as the most valuable imaging modality for carotid plaque burden quantification and non-invasive assessment of plaque composition (7,8). Furthermore, MRI is well validated, highly reproducible and can be used to predict stroke and evaluate treatment effects (8,10,36). Carotid MRI has increased our knowledge on carotid atherosclerotic disease, since MRI studies allowed, for the first time, to follow changes in plaque composition over time, also before clinical symptoms occur (35,148-150). It provides an excellent opportunity of improved stroke risk assessment, noninvasive monitoring of disease progression and evaluation of therapeutic efficacy (6,46,74,118,129). MRI may be used to identify a subgroup of patients that may benefit from expensive new treatments, such as anti-inflammatory therapy or intensified lipid-lowering therapy. IPH on MRI is currently the most promising approach for implementation in daily clinical practice in the near future, since IPH is easy to recognize on MR images, it can be visualized with a standard MRI sequence with a scan time of a few minutes using a standard neurovascular coil (45). A recent meta-analysis showed that IPH is a strong independent predictor for stroke in symptomatic as well as asymptomatic patients with carotid stenosis, independent of degree of stenosis and stronger than any known clinical risk factors (6). In asymptomatic patients with a significant carotid artery stenosis performance of carotid endarterectomy is highly controversial (151). The number needed to treat to prevent one stroke within 5 years in this asymptomatic population is very high and annual stroke rates due to best medical treatment may be declining (152-154). Therefore, the recent guidelines of the European Society for Vascular Surgery (ESVS) state that, while waiting for results of large clinical trials and the development of validated algorithms for patient selection, the presence of one or more imaging features, such as large plaque burden of intraplaque haemorrhage on MRI may be useful to select higher risk for stroke patients (155). In these clinical guidelines, the advantage of MRA and CTA compared to Duplex ultrasound to visualise simultaneously the aortic arch, supra-aortic trunks, carotid bifurcation, distal internal carotid artery, and the intracranial circulation is also highlighted (155). They state that such an examination is mandatory if a patient is considered for carotid artery stenting (155). A short additional MRI sequence of a few minutes to quantify plaque burden and to identify intraplaque haemorrhage can be easily added to an MRA examination. IPH and LRNC are observed not only in patients with significant stenosis, but also in patients with non-significant (<50%) stenosis (103,104,121,122). These features have been acknowledged as critical factors for clinical disease assessment (46). IPH has been linked with accelerated plaque progression, luminal narrowing, and clinical events (142,144). The LRNC volume can be used to monitor therapeutic effects of lipid lowering treatment (124). Carotid plaque MRI can also be helpful in borderline clinical cases. Expert consensus recommendations on carotid vessel wall MRI have recently been published (63). In this white paper detailed recommendations on MRI protocols are provided. For identification of the LRNC and the FC status, currently contrast injection is still preferred (36,55,85). Recently, fast three-dimensional sequences have been developed with a large longitudinal coverage (52,53,156). Artificial intelligence may lead to further improvements in MR image quality, shorter scan times and it can provide tools for automated image analysis (157). The development and validation of risk prediction models that include carotid plaque MRI findings can further aid in improved risk stratification. Large clinical trials are warranted to study whether carotid plaque MRI can be used to select patients that benefit from carotid revascularization, but also to identify patients that can be safely treated with best medical treatment alone. Further studies might be needed to investigate the relation between MRI features and the most suitable type of therapy. The introduction of hybrid PET/MRI systems allows for the combination of anatomical imaging with MRI, and metabolic/functional imaging with PET (101). Together these advances are expected to lead to a reduction in stroke and the substantial economic burden associated with stroke mortality, morbidity and long-term disability. The article’s supplementary files as
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