High-Risk Coronary Plaque Features: A Narrative Review

Abstract

Advances in coronary plaque imaging over the last few decades have led to an increased interest in the identification of novel high-risk plaque features that are associated with cardiovascular events. Existing practices focus on risk stratification and lipid monitoring for primary and secondary prevention of cardiac events, which is limited by a lack of assessment and treatment of vulnerable plaque. In this review, we summarize the multitude of studies that have identified plaque, haemodynamic and patient factors associated with risk of acute coronary syndrome. Future progress in multi-modal imaging strategies and in our understanding of high-risk plaque features could expand treatment options for coronary disease and improve patient outcomes.

Key Summary Points

Existing practices focus on risk stratification and lipid monitoring for primary and secondary prevention of cardiac events.

Advances in coronary plaque imaging have led to an increased interest in the identification of high-risk plaque features that are associated with cardiovascular events.

There is now a broad evidence base identifying plaque, haemodynamic and patient factors associated with coronary event risk.

Future progress in multi-modal imaging strategies and in our understanding of high-risk plaque features could expand treatment options for coronary disease and improve patient outcomes.

Introduction

Over the last three decades, there have been substantial improvements in the assessment and management of atherosclerotic coronary disease, resulting in a reduction in the incidence of cardiovascular (CV) events and improved outcomes. However, despite these improvements, CV events relating to coronary plaque remain the most common cause of morbidity and mortality, with an estimated 9 million annual deaths relating to ischaemic heart disease globally [1]. CV events largely relate to plaque rupture or erosion, and numerous high-risk plaque features associated with plaque rupture risk and the risk of CV events have been identified in an expanding body of evidence. Many of these advances have been driven by advances in non-invasive and invasive coronary imaging that have enabled improved assessment of plaque composition and rupture risk in large outcome-based studies. In this review, we detail recent advances in the understanding of high-risk plaque characteristics and causes of plaque rupture, in addition to summarizing existing and developing imaging approaches to assess coronary plaque rupture risk.

This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.

Definitions of High-Risk Plaque

High-risk plaque, also termed vulnerable plaque, can be defined according to risk of causing a subsequent CV event, usually by causing plaque rupture or erosion [2, 3]. High-risk plaque features therefore include any identifiable plaque feature that are associated with a higher risk of CV events in comparison to plaque without such features. Initial studies determining plaque risk were generally post-mortem assessments of patients suffering CV events that resulted in death, demonstrating several plaque morphologies, including thin-cap fibroatheromas, large lipid pools, microcalcifications and intraplaque haemorrhage [4]. In these studies, approximately 60% of CV events appeared to be caused by plaque rupture while 40% were caused by plaque erosion [5, 6]. In more recent years, studies assessing high-risk plaque have more commonly used either invasive or non-invasive plaque imaging to assess plaque characteristics and correlate these features with rates of lesion-specific CV events over 5–10 years. Post-mortem studies demonstrate that thin-cap fibroatheromas detected by intravascular ultrasound (IVUS) and optical coherence tomography (OCT) are surrogates for histopathological thin-cap fibroatheromas [7–9].

While the vulnerable, or high-risk, plaque is a logical paradigm, an emerging notion is that of the high-risk patient (or vulnerable patient), which does not limit the risk assessment to lesion-specific, high-risk features [3]. Plaque rupture or erosion risk, and therefore CV event risk, results from a combination of plaque morphology characteristics in addition to biomechanics, such as shear stress, and patient factors, such as inflammatory states [2]. Importantly, plaque vulnerability is not a static process, and up to three quarters of vulnerable plaques can lose features of vulnerability over time with appropriate optimal medical therapy [10]. Conversely, stable plaques may progress towards a morphologically more vulnerable plaque in a proportion of patients [11–13].

Mechanisms of High-Risk Plaque Formation

Atherosclerotic plaque formation is a progressive progress, beginning with endothelial dysfunction related to a range of pathogenic precipitants [14, 15]. This in turn allows lipoproteins to move into the increasingly permeable endothelium with the recruitment of inflammatory cells that ingest lipoprotein-cholesterol to form foam cells [16, 17]. Subsequent smooth muscle proliferation results in fibrous cap formation and the development of an established atherosclerotic plaque [16, 17]. These initial stages (intimal thickening, intimal xanthoma, thick-cap fibroatheroma) represent asymptomatic disease, but ongoing plaque stressors, such as local and systemic inflammation and shear stress, can lead to plaque instability [15, 18]. Unstable plaque includes the formation of thin-fibrous cap atheroma and calcified nodule formation, both of which are associated with rupture or erosion risk and coronary events, resulting in symptomatic disease [15, 18]. The final stage of atherosclerotic plaque progression is fibrocalcific plaque, or a stable stenosis [15].

Identifying High-Risk Plaque with Imaging

Imaging strategies that can assess the coronary vasculature and coronary plaque morphologies have improved substantially over the last two decades and can be categorized as non-invasive or invasive. The advantages and disadvantages of the various non-invasive and invasive coronary imaging modalities are shown in Table 1.

Table 1.

Comparison among different imaging modalities used in the assessment of high-risk coronary plaque

Imaging modality	Advantages	Disadvantages	High-risk plaque features imaged
Invasive
IVUS	Good temporal/spatial resolution, gold-standard for plaque volume assessment	Composition assessment limited to post-processing, unable to assess cap thickness	Plaque volume, fibrofatty content
OCT	Best spatial resolution, good for assessing cap thickness	Limited penetrance, unable to visualize entire thickness of vessel	Thin-cap fibroatheroma, plaque composition
NIRS	Good at quantifying plaque lipid content	Limited at assessing plaque volume or other features	Lipid content
Non-invasive
CCTA	Good spatial/temporal resolution, assessment of entire coronary tree	Radiation exposure, limited assessment of fibrous cap thickness and inflammation	Napkin ring sign, positive remodelling, microcalcifications, low attenuation plaque
PET	Assessment of inflammation and calcification	Yet to see widespread clinical use, 18F-fluorodeoxyglucose (18F-FDG) tracer limited by avid myocardium uptake	Plaque inflammation
MRI	No radiation, emerging molecular probes	Poor spatial/temporal resolution limits current application for coronary assessment	Carotid thickening

IVUS intravascular ultrasound, OCT optical coherence tomography, NIRS near infrared spectroscopy, CCTA coronary computed tomography angiography, PET positron emission tomography, MRI magnetic resonance imaging

Non-invasive Imaging

Coronary computed tomography angiography (CCTA) is the most commonly used non-invasive anatomical coronary imaging modality and can quantify plaque burden and morphology. The advantages of CCTA include assessment of the entire coronary tree and moderate resolution to assess plaque composition, including differentiation of calcified, mixed and non-calcified plaque [18]. High-risk plaque features that can be reliably assessed with CCTA include the napkin ring sign, positive remodelling, spotty microcalcifications and low-attenuation plaque [19, 20]. CCTA can also be used to image peri-coronary adipose tissue and epicardial adipose tissue, both of which are associated with increased risk of coronary disease and CV events [21].

Positron emission tomography (PET), which uses gamma cameras to detect intravenously administered radiotracers such as 18F-fluorodeoxyglucose (¹⁸F-FDG), has not yet seen widespread use for plaque assessment outside of research studies so far. However, several studies have shown that plaque inflammation and calcification can be identified using a variety of positron-emitting radioligands, which are taken up by regions of high metabolic activity such as inflammation, including high-risk coronary plaque [22]. Of these radiotracers, the most evidence obtained to date is with 18F-sodium fluoride, which binds to coronary microcalcifications; the results indicate that this radiotracer may be useful in the future for identifying high-risk plaque [23, 24].

Magnetic resonance imaging (MRI) is currently limited by difficulties in reproducibility that are mostly related to limitations in spatial resolution and long-scan times [25]. MRI has been studied in other vascular territories, especially the carotid arteries, with the results demonstrating an increased risk of CV events and stroke with carotid thickening shown on the MRI scan [18]. Coronary MRI studies have demonstrated that thicker coronary walls are associated with increased CV risk [6]. However, improvements in the technical requirements for coronary MRI are required before this modality is likely to see greater application. Several molecular probes also show promise with MRI imaging, including elastin-specific gadolinium-based probes that target features of remodelling and plaque burden [26].

Invasive Imaging

Intravascular ultrasound (IVUS), which derives images from a piezoelectric transducer that produces sound waves, has formed the backbone of invasive coronary imaging since the late 1990s and has been used in numerous trials of treatments aimed at reducing CV events through plaque modification [14]. The advantages of IVUS include being the gold-standard for quantifying coronary plaque volumes and the availability of post-processing methods, such as virtual histology IVUS and integrated backscatter IVUS, both of which can characterize plaque as fibrofatty, fibrous, necrotic or calcium [27, 28].

OCT, which measures echo time delay of reflected low-coherence light, is the main invasive alternative to IVUS and has greater spatial resolution, making it the preferred invasive imaging modality to assess fibroatheroma cap thickness and quantify lipid content [29]. However, overall plaque volume quantification is limited by the reduced tissue penetrance of this imaging modality.

Near-infrared spectroscopy (NIRS) is used to measure plaque lipid content using near-infrared spectrum light absorbance [30]. Hybrid catheters using NIRS and IVUS or NIRS and OCT have been developed, but are currently limited largely to research settings [4]. Intracoronary imaging techniques in development include near-infrared fluorescence molecular imaging, which can detect inflammation, and intravascular photo-acoustics, which uses similarly technology to IVUS but provides more information on plaque composition [2].

High-Risk Plaque Features

High-risk-atherosclerotic coronary plaque features leading to increased risk of CV events can broadly be categorized into (1) plaque characteristics, (2) flow dynamics and shear stress and (3) patient and systemic factors, such as inflammatory states (Fig. 1). These features and the best imaging modalities to assess them are summarized in the following section. High-risk plaque features assessed with CCTA are shown in Fig. 2. A comparison of estimated increase in CV event risk according to plaque feature is shown in Table 2.

Fig. 1.

High-risk features for coronary plaque. IVUS Intravascular ultrasound, OCT optical coherence tomography, NIRS near infrared spectroscopy, CCTA coronary computed tomography angiography, PET positron emission tomography, NIRF near-infrared fluorescence

Fig. 2.

High-risk plaque features on coronary computed tomography angiography.

Adapted from Yan et al. under the terms of the Creative Commons Attribution 4.0 licence [31]

Table 2.

Summary of major studies assessing high-risk plaque features and risk of subsequent major adverse cardiac events during the follow-up period

Modality	Study (study name or first author)	Year	N	Follow-up (months)	High-risk feature	HR/OR (95% CI)
CCTA	ICONIC [39]	2018	234	38	Spotty calcification	1.54 (1.17–2.04
					Low attenuation	1.38 (1.05–1.81)
					Positive remodelling	1.40 (0.96–2.06)
CCTA	Yamamoto [32]	2013	453	40	Spotty calcification	2.41 (0.80–7.50)
					Low attenuation	8.23 (2.41–37.7)
					Positive remodelling	8.30 (2.83–26.7)
CCTA	Feuchtner [33]	2016	1469	95	Spotty calcification	2.25 (1.26–4.04)
					Low attenuation	4.50 (1.40–14.8)
					Positive remodelling	2.80 (1.09–7.40)
					Napkin-ring sign	7.00 (2.00–13.6)
CCTA	Halon [44]	2019	499	110	Mild calcification	3.3 (1.5–7.2)
					4th vs 1st quartile plaque volume	6.9 (1.6–30.8)
					Low attenuation	7.3 (1.7–32.3)
CCTA	Motomoya [50]	2009	1057	27	Low attenuation & PR	22.8 (6.9–75.2)
CCTA	Otsuka [63]	2013	895	28	Low attenuation	3.75 (1.43–9.79)
					Napkin-ring sign	5.55 (2.1–14.7)
					Positive remodelling	5.25 (2.17–12.7)
CCTA	Nakanishi [34]	2014	517	49	Low attenuation	1.82 (1.04–3.09)
					Napkin-ring sign	3.64 (1.72–7.81)
					Positive remodelling	1.24 (0.73–2.03)
CCTA	Otsuka [35]	2014	543	41	Low attenuation	2.78 (0.98–7.90)
					Napkin-ring sign	4.63 (1.54–13.9)
					Positive remodelling	5.12 (1.84–14.3)
CCTA	Conte [36]	2016	245	98	Low attenuation	8.45 (2.22–32.21)
					Napkin-ring sign	12.5 (1.51–103.9)
					Positive remodelling	3.31 (1.11–9.91)
IVUS/OCT	PROSPECT 2 [43]	2021	898	48	Plaque burden ≥ 70%	11.4 (5.6–23.1)
					Maximum LCBI 4 mm > 324.7	7.83 (4.13–14.9)
IVUS	Stone [69]	2017	697	40	Low shear stress	4.34 (1.89–10.0)
OCT	COMBINE-OCT [62]	2021	550	18	Thin-cap fibroatheroma	5.12 (2.12–12.3)
OCT	CLIMA [45]	2020	1003	12	Thin-cap fibroatheroma	4.7 (2.4–9.0)
					Macrophage content	2.7 (1.2–6.1)
					Lipid-arc circumference	2.4 (1.2–4.8)
					Mean lumen area < 3.5 mm2	2.1 (1.1–4.0)
NIRS	Waksman [55]	2019	1563	24	Maximum LCBI 4 mm > 400	4.22 (2.39–7.45)
NIRS	Oemrawsingh [51]	2014	203	12	LCBI > median	4.04 (1.33–12.3)
NIRS	Madder [52]	2016	121	12	Maximum LCBI 4 mm > 400	10.2 (3.4–30.6)
NIRS	Schuurman [53]	2017	275	49	Maximum. LCBI 4 mm > 360	3.58 (1.67–7.70)

HR Hazard ratio, OR odds ratio, CI confidence interval, PR positive remodelling, LCBI lipid core burden index

Plaque Characteristics

Total Plaque Volumes

Total plaque volumes are representative of overall disease activity and have been associated with CV events in multiple outcome studies. Moreover, plaque may expand rapidly in the days and weeks before myocardial infarction [37]. Extensive plaque volume, as assessed by CCTA, without obstructive disease has been shown to increase the risk of CV events to a similar degree to obstructive but less extensive disease [38]. CCTA studies assessing the association between total plaque volumes have demonstrated that lesions causing acute coronary syndrome (ACS) have significantly higher total plaque volumes in comparison to non-culprit lesions within the same patient, and in comparison to patients with coronary disease without ACS [39, 40]. At the lesion level, lesion plaque volume is thought to rapidly expand in the 1- to 3-month period prior to a CV event, and several studies measuring plaque volume have demonstrated that plaque volume approximately doubles when measured more than 3 months prior to in comparison to at the time of the event [41]. In the PROSPECT study, which measured plaque volumes of 106 lesions prior to ACS using IVUS, interim plaque enlargement was associated with a fourfold higher risk of subsequent lesion-specific ACS [42]. Similarly, in the larger PROSPECT 2 study, which used IVUS and NIRS to assess non-culprit lesions in 898 patients following ACS presentation, large plaque burden (≥ 70% plaque burden) was associated with an unadjusted odds ratio (OR) of 11.4 for subsequent major adverse CV events (MACE) at 4 years [43]. In one of the longest studies to date, Halon et al. demonstrated plaque burden was associated with increased risk of MACE in 499 patients with diabetes mellitus over 9.2 years of follow-up (plaque volume upper vs lower quartile hazard ratio [HR] 6.9, 95% confidence interval [CI] 1.6–30.8) [44]. Lower mean luminal area measured by IVUS or OCT has also been used in some studies and is associated with increased risk of MACE [45].

Plaque Lipid Volume

Plaque lipid pool volume has been associated with CV event risk in multiple studies, likely being related to a high content of tissue factor in the lipid core increasing thrombogenic potential [46]. IVUS and NIRS have been the main imaging modalities used in these studies; however, CCTA quantification of low-attenuation plaque regions (defined as Hounsfield units [HU] < 30) is improving and is correlated with echo-attenuation on IVUS and with greater CV event risk [40, 47, 48]. In the CT arm of the ROMICAT-II trial of patients presenting with suspected ACS, low-attenuation plaque on CT was associated with index ACS (Relative risk 8.2, 95% CI 4.7–14.5) [49]. Motomoya et al. demonstrated that low-attenuation plaque measured by CCTA was associated with a higher risk of ACS during 27 months of follow-up in a cohort of 1059 patients [50]. In the ICONIC study, low-attenuation plaque was associated with increased risk of MACE during 3.4 years of follow-up (HR 1.38, 95% CI 1.05–1.81) [39]. Multiple studies using NIRS to assess lipid core content have demonstrated a clear correlation between lipid content and CV event risk, and a higher lipid content in ruptured plaques causing ST-elevation myocardial infarction (STEMI) [51–54]. In a study of 1271 patients with suspected ACS, non-culprit lesions with a 4-mm maximum lipid content burden index of > 400 HU were associated with subsequent ACS at 2 years with approximately double the risk at the patient level and fourfold the risk at the lesion level [55]. The larger PROSPECT 2 study used IVUS and NIRS in 898 patients (3629 non-culprit lesions) within 4 weeks of ACS, and demonstrated high lipid content (defined as 4 mm maximum lipid content burden index > 324.7 HU) was associated with increased risk of MACE over 4 years with an OR of 2.27 at the patient level and of 7.83 at the lesion level [43]. Echo-attenuated plaques detected by IVUS correlate relatively well with fibroatheroma or necrotic core detected on NIRS and are also a marker of plaque vulnerability, but limitations in quantification and distribution have led to using IVUS in combination with NIRS in research studies where lipid quantification is needed [56]. In the CLIMA study, an OCT study enrolling 1003 patients with untreated proximal left anterior descending artery lesions, lipid arc circumferential extension > 180° measured by OCT was associated with increased risk of MACE at 1 year (HR 2.4, 95% CI 1.2–4.8)[45]

Calcification and Microcalcifications

The presence and quantity of coronary calcification is commonly used as a high-risk plaque feature to guide clinical practice, and may influence rupture risk through modulation of fibrous cap thickness, necrotic core volume or inflammatory state [37]. The ‘power of zero’ had been proposed as a clinical rule to guide decisions regarding primary prevention for coronary disease, but recent data have questioned this approach to aspirin and statin management decisions [57]. Microcalcifications identified on CCTA, also termed spotty calcification, are an early sign of atherosclerosis and can be representative of active inflammation. Spotty calcification on CCTA was found to be predictive of ACS in the CT arm of the ROMICAT-II trial of patients presenting with chest pain (Relative risk [RR] 37.2, 95% CI 9.1–152.7) [49]. Outcome-based studies have demonstrated an association between microcalcification and risk of CV events; therefore, microcalcifications can be considered a high-risk plaque feature [40, 58]. In the ICONIC study, the presence of spotty calcification was associated with greater risk of ACS at 3.4 years (HR 1.54, 95% CI 1.17–2.04) [39]

Conversely, plaque calcification can increase following treatment with cholesterol lowering agents, and an inverse relationship between low-density lipoprotein-cholesterol (LDL-C) and plaque calcification has been observed, suggesting this process represents a more stable plaque phenotype [59, 60]. Similarly, in a substudy of the PARADIGM trial, although calcified plaque volume was associated with increased risk of MACE over 4 years (HR 3.01, 95% CI 1.58–5.72), percent calcified plaque volume (calcified plaque volume divided by total plaque volume) was inversely associated with subsequent MACE (HR 0.53, 95% CI 0.29–0.97) [61].

Thin-cap Fibroatheroma

Thin-cap fibroatheroma, which can lead to defects in the fibrous cap that result in exposure of the thrombogenic lipid core to circulating blood, is associated with an increased risk of CV events [37]. Fibroatheroma cap thickness can be assessed using several imaging modalities, but given its higher resolution, OCT is the optimal imaging modality to assess cap thickness. The COMBINE OCT-FFR trial included diabetic patients with fractional flow reserve (FFR)-negative lesions. At 18 months, substantially higher rates of MACE were demonstrated in patients with lesions with thin-cap fibroatheroma compared to those without (HR 5.12, 95% CI 2.12–12.34) [62]. Similarly, in the CLIMA study, fibrous cap thickness of < 75 µm for untreated left anterior descending artery lesions was associated with increased risk of MACE at 1 year (HR 4.7, 95% CI 2.4–9.0) [45].

An extension of this is the CCTA napkin-ring sign, which is a low attenuation plaque core near the lumen with a high-enhancing rim, a feature representative of lipid content and associated with thin-cap fibroatheroma on OCT. Several prospective studies have identified a strong association between the presence of the napkin-ring sign on CCTA and subsequent lesion-specific MACE [20, 63–65]. A meta-analysis assessing the association between high-risk plaque features on CCTA and future MACE estimated that the presence of the napkin-ring sign was associated with a HR of 5.06 (95% CI 3.23–7.94) [48].

Other Features

Several other plaque features are associated with high plaque risk. In the CLIMA OCT study, OCT-defined macrophages were associated with an increased risk of MACE at 1 year (HR 2.7, 95% CI 1.2–6.1) [45]. In a PET study of patients with and without ACS, ¹⁸F-NaF uptake was significantly higher in culprit coronary lesions compared to non-culprit lesions, and correlated with active calcification and macrophage infiltration [66]. Positive remodelling, defined as a remodelling index > 1.1, as determined by CCTA, is associated with an increased risk of subsequent coronary events [40, 49].

Flow Dynamics and Shear Stress

Endothelial dysfunction relating to low shear stress is thought to be the initiating event in plaque development [67, 68]. Shear stress leads to a number of cellular signalling pathways, including reduced synthesis of nitric oxide, a molecule which has a protective role for atherosclerosis through preventing inflammation, apoptosis, thrombosis and endothelial permeability [67]. Low endothelial shear stress is associated with plaque oxidative stress, extracellular matrix turnover, arterial remodelling, intra-plaque bleeding and endothelial erosion [67]. Several studies have demonstrated more rapid plaque development in the setting of low endothelial shear stress [69], which subsequently is associated with CV events. In the PROSPECT study, local low endothelial shear stress (< 1.3 Pa) was associated with subsequent MACE over 3.4 years of follow-up (HR 4.34, 95% CI 1.89–10.0) [70].

Several haemodynamic factors are thought to play a role in plaque erosion as a separate process to plaque rupture. Plaque erosion has been demonstrated to occur more commonly near bifurcations, particularly in the left anterior descending artery in a large IVUS study of patients with STEMI [71]. This is thought to relate to the impacts of bifurcations on shear stress within the main vessel, and disturbed blood flow is associated with chronic endothelial activation and endothelial denudation and subsequent thrombosis [72, 73].

Inflammation and Systemic Features

Both local and systemic inflammation are associated with increased CV event risk [40, 74]. Locally, lipid accumulation leads to free radical formation, endothelial activation and inflammation, all resulting in an imbalance in reactive oxygen species, which transform monocytes into foam cells [75]. This process involves multiple cell types, both intracellular and extracellular reactive oxygen and nitrogen species and complex signalling pathways, including the NLRP3 inflammasome pathway, the Wnt and Notch pathways, Toll-like receptors and proprotein convertase subtilisin/kexin type 9 [75, 76]. Systemic biomarkers of inflammation, such as high-sensitivity C-reactive protein and interleukin-6, are both associated with risk of ACS [77]. Acute inflammatory conditions in addition to acute infections that trigger acute inflammation are both associated with increased risk of MACE [74, 78]. Other stressors, such as emotional distress and sleep deprivation, are associated with increased CV event risk, possibly via inflammatory processes. Similarly, ACS occurs more commonly in colder months and in the morning, findings which may related to a multitude of factors, including temperature changes, inflammatory state, air pollution and metabolic changes throughout the day, such as the cortisol circadian rhythm [79].

Pericardial fat volume and inflammation within pericardial fat, measured using the fat attenuation index, has been associated with CV and increased mortality [80–82]. Right coronary artery peri-coronary adipose tissue attenuation is associated with CV risk factors and significant coronary stenoses [83]. Epicardial adipose tissue secretes adipocytokines, leading to a pro-inflammatory state and progression of atherosclerotic disease [21, 84, 85]. Therefore, the presence of peri-coronary adipose tissue especially around the right coronary artery is suggested as a promising imaging biomarker to allow non-invasive assessment of coronary inflammation.

Treatments Targeting Plaque Risk

Pharmacological treatments aimed at reducing the risk of plaque rupture and CV events have improved substantially over the last few decades. First, statins, which inhibit HMG-CoA reductase, are the most widely used pharmacological treatment for atherosclerotic plaque, and their use results in LDL-C reductions of 30–50% [86]. Multiple studies have demonstrated consistent reductions in CV events with statin treatment; consequently, moderate- or high-dose statins are recommended for established coronary artery disease [14]. For high-risk plaque, multiple studies have demonstrated that statins stabilize plaque by reducing lipid core volumes and resulting thickening of the fibroatheroma cap. Second, PCSK-9 inhibitors have demonstrated similar improvements in reducing CV events and also improve plaque morphology, but are limited by higher costs [59, 87]. In the HUYGENS study, the addition of evolocumab to statin therapy following non-STEMI resulted in greater increases in minimum fibrous cap thickness, decreases in maximum lipid arc and macrophage index, and greater regression of plaque volumes over 12 months, as assessed by OCT [88]. Third, ezetimibe is similarly associated with improvements in lesion risk profile and, to a lesser degree, reductions in MACE [89].

Other treatments target inflammation to reduce CV events and include colchicine, canakinumab and aspirin. Aspirin, which irreversibly inhibits cyclooxygenase and suppresses prostaglandin production, thereby suppressing platelet aggregation, has previously been a mainstay of primary prevention for CV. However, recent data from randomized controlled trials suggest increased bleeding risks with minimal benefits, which has led to reconsideration of this approach [90]. In the CANTOS trial, anti-inflammatory therapy with canakinumab, a monoclonal antibody targeting interleukin-1B, led to significantly lower MACE compared to placebo [91]. Several trials have demonstrated reduced CV events with colchicine treatment following ACS [92, 93], and further studies assessing the impact of colchicine on coronary plaque features are underway.

Little data are available on the assessment of shear stress as a target of coronary treatments, but one study demonstrated greater rates of low endothelial shear stress with nebivolol versus atenolol treatment, which was associated with greater plaque progression [94]. Further studies into whether treatments targeting localized haemodynamics can reduce plaque vulnerability are warranted.

The identification of high-risk plaque has led to interest in whether prophylactic percutaneous coronary intervention, especially with bioresorbable scaffolds, may reduce subsequent MACE. The PROSPECT ABSORB trial randomized 182 patients with lesion plaque burden ≥ 65% on IVUS to bioresorbable scaffold or medical management, demonstrating improvements in the powered outcome of minimum lumen area at 4 years of follow-up, as well as favourable long-term clinical outcomes for the unpowered endpoint of lesion-related MACE (4.3% for bioresorbable scaffold patients vs 10.7% for medically managed patients; P = 0.12) [95]. The larger PREVENT trial, which is powered for outcomes, is ongoing.

Individualized Patient-Specific Approach for High-Risk Plaque

Given that high-risk plaque assessment and identification have been largely limited to research settings to date, it can be difficult to decide the best management approach for patients in whom high-risk plaque features are identified on coronary imaging. A major limitation for the clinical use of high-risk plaque features is the low positive predictive value of individual features on subsequent MACE risk, which are mostly in the vicinity of 5–30% [2]. Development of combined measures of risk using multiple high-risk plaque features, and potentially incorporating machine learning processes, might be useful to overcome this limitation.

High-risk features identified through CCTA are the most likely features to occur in routine clinical practice, and their presence should prompt a cautious approach to management. In the setting of high-risk plaque, patients should commence or continue on optimal medical therapy in addition to lifestyle changes, such as improved diet, exercise and smoking cessation. The potential benefits of up-titrating plaque-modifying treatments should be considered in the context of the clinical setting, including measures such as LDL-C levels. Similarly, invasive assessment should be considered in certain settings in line with existing ACS and stable coronary syndrome guidelines.

Future Directions

Advances over the last 2 decades in the ability to image coronary plaque and define high-risk features have been rapid and expansive, and this trend might be expected to continue. Improvements in spatial and temporal resolution and radiation doses for non-invasive imaging modalities are likely, leading to greater applicability of these technologies in coronary plaque assessment. Similarly, advanced computational modelling and machine learning approaches or hybrid imaging approaches could offer promise in improving the identification of high-risk plaque upon imaging. For example, a CCTA study using a machine learning-based profile of perivascular adipose tissue remodelling and adverse fibrosis was better able to predict CV events in comparison to existing processes [96]. Molecular imaging probes, including ¹⁸F-NaF, are improving, and several trials are ongoing that might be useful in identifying novel high-risk plaque features. These include the PREFFIR study, which aims to perform CCTA and PET with ¹⁸F-NaF on 700 patients with ACS. As these imaging strategies improve, the potential for coronary plaque imaging to be used as a screening tool also increases, for both patients with established coronary disease and in a population setting. Concurrently, treatments aimed at reducing CV events have also seen substantial developments, and greater understanding of high-risk plaque features that could be targeted by novel pharmacological therapies will encourage ongoing research and drug development in this area. Similarly, the PROSPECT 2 trial demonstrated promising results for prophylactic stenting for high plaque burden lesions, and the results of the PREVENT trial are eagerly awaited.

Conclusions

Advances in coronary plaque imaging over the last two decades have led to an increased interest in the identification of novel high-risk plaque features. Multiple studies have demonstrated that there are an array of plaque features that are associated with ACS risk in addition to patient factors and haemodynamic factors that also mediate risk. Advancements in imaging identification of high-risk plaque and treatment options for such features may lead to a new paradigm in CV care.