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Coronary artery disease is defined by the existence of atherosclerotic plaque on the arterial wall, which can cause blood flow impairment, or plaque rupture, and ultimately lead to myocardial ischemia. Intravascular ultrasound (IVUS) imaging can provide a detailed characterization of lumen and vessel features, and so plaque burden, in coronary vessels. Prediction of the regions in a vascular segment where plaque burden can either increase (progression) or decrease (regression) following a certain therapy, has remained an elusive major milestone in cardiology. Studies like IBIS-4 showed an association between plaque burden regression and high-intensity rosuvastatin therapy over 13 months. Nevertheless, it has not been possible to predict if a patient would respond in a favorable/adverse fashion to such a treatment. This work aims to (i) Develop a framework that processes lumen and vessel cross-sectional contours and extracts geometric descriptors from baseline and follow-up IVUS pullbacks; and to (ii) Develop, train, and validate a machine learning model based on baseline/follow-up IVUS datasets that predicts future percent of atheroma volume changes in coronary vascular segments using only baseline information, i.e. geometric features and clinical data. This is a post hoc analysis, revisiting the IBIS-4 study. We employed 140 arteries, from 81 patients, for which expert delineation of lumen and vessel contours were available at baseline and 13-month follow-up. Contour data from baseline and follow-up pullbacks were co-registered and then processed to extract several frame-wise features, e.g. areas, plaque burden, eccentricity, etc. Each pullback was divided into regions of interest (ROIs), following different criteria. Frame-wise features were condensed into region-wise markers using tools from statistics, signal processing, and information theory. Finally, a stratified 5-fold cross-validation strategy (20 repetitions) was used to train/validate an XGBoost regression models. A feature selection method before the model training was also applied. When the models were trained/validated on ROI defined by the difference between follow-up and baseline plaque burden, the average accuracy and Mathews correlation coefficient were 0.70 and 0.41 respectively. Using a ROI partition criterion based only on the baseline's plaque burden resulted in averages of 0.60 accuracy and 0.23 Mathews correlation coefficient. An XGBoost model was capable of predicting plaque progression/regression changes in coronary vascular segments of patients treated with rosuvastatin therapy in 13 months. The proposed method, first of its kind, successfully managed to address the problem of stratification of patients at risk of coronary plaque progression, using IVUS images and standard patient clinical data.

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BACKGROUND: Many clinical studies have confirmed that legumain is closely related to atherosclerosis. Unfortunately, different conclusions have been reached, and analyses and studies on atherosclerotic plaque characteristics in patients with increased plasma levels of legumain are still lacking. OBJECTIVES: This study aimed to investigate the correlation between legumain and coronary atherosclerotic plaque characteristics. METHODS: A total of 81 patients with coronary atherosclerotic heart disease (CHD), including 43 patients with unstable angina (UA) and 38 patients with stable angina (SA), were screened by coronary angiography. Intravascular ultrasound (IVUS) was performed to evaluate the characteristics of coronary atherosclerotic plaques, and plasma legumain levels were also measured. Values of p < 0.05 were considered significant. RESULTS: Legumain concentration was significantly higher in the two CHD subgroups than in the control group (all p<0.001). Legumain concentrations in the UA group were significantly higher than in the SA group (p=0.001). The plaque area, remodeling index (RI), and eccentricity index (EI) in the UA group were significantly higher than those in the SA group (p<0.001, p=0.001, p=0.001, respectively). There was a significant positive correlation between legumain levels and RI and EI in both UA and SA patients (all p<0.05). CONCLUSIONS: High plasma levels of legumain were closely related to the occurrence and severity of CHD, and the lesions tended to be unstable. Legumain is expected to be a potential inflammatory biomarker for the diagnosis of CHD and the early identification of unstable coronary lesions.

FUNDAMENTO: Muitos estudos clínicos confirmaram que a legumain está intimamente relacionada à aterosclerose. Infelizmente, chegaram-se a conclusões diferentes e ainda faltam análises e estudos sobre as características da placa aterosclerótica em pacientes com níveis plasmáticos aumentados de legumain. OBJETIVOS: Este estudo teve como objetivo investigar a correlação entre as características da legumain e da placa aterosclerótica coronariana. MÉTODOS: Um total de 81 pacientes com doença cardíaca aterosclerótica coronariana (DCAC), incluindo 43 pacientes com angina instável (AI) e 38 pacientes com angina estável (AE), foram examinados por angiografia coronária. Foi realizado ultrassom intravascular (IVUS) para avaliar as características das placas ateroscleróticas coronarianas, e os níveis plasmáticos de legumain também foram medidos. Valores de p < 0,05 foram considerados significativos. RESULTADOS: A concentração de legumain foi significativamente maior nos dois subgrupos de doença coronariana do que no grupo controle (todos p<0,001). As concentrações de legumain no grupo AI foram significativamente maiores do que no grupo SA (p=0,001). A área de placa, o índice de remodelamento (IR) e o índice de excentricidade (IE) no grupo AI foram significativamente maiores do que no grupo AE (p<0,001, p=0,001, p=0,001, respectivamente). Houve uma correlação positiva significativa entre os níveis de legumain e IR e IE em pacientes com AI e AE (todos p<0,05). CONCLUSÕES: Níveis plasmáticos elevados de legumain estavam intimamente relacionados com a ocorrência e gravidade da doença coronariana, e as lesões tendiam a ser instáveis. Espera-se que a legumain seja um potencial biomarcador inflamatório para o diagnóstico de doença coronariana e a identificação precoce de lesões coronárias instáveis.

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OBJECTIVE: Skeletal muscle quality and mass are important for maintaining physical function during advancing age. We leveraged baseline data from Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) to evaluate whether paraspinal muscle density and muscle area are associated with cardiac or physical function outcomes in people with HIV (PWH). METHODS: REPRIEVE is a double-blind randomized trial evaluating the effect of pitavastatin for primary prevention of major adverse cardiovascular events in PWH. This cross-sectional analysis focuses on participants who underwent coronary computed tomography at baseline. Lower thoracic paraspinal muscle density (Hounsfield units [HU]) and area (cm 2 ) were assessed on noncontrast computed tomography. RESULTS: Of 805 PWH, 708 had paraspinal muscle measurements. The median age was 51 years and 17% were natal female patients. The median muscle density was 41 HU (male) and 30 HU (female); area 13.2 cm 2 /m (male) and 9.9 cm 2 /m (female). In adjusted analyses, greater density (less fat) was associated with a lower prevalence of any coronary artery plaque, coronary artery calcium score >0, and high plaque burden ( P = 0.06); area was not associated with plaque measures. Among 139 patients with physical function measures, greater area (but not density) was associated with better performance on a short physical performance battery and grip strength. CONCLUSIONS: Among PWH, greater paraspinal muscle density was associated with a lower prevalence of coronary artery disease while greater area was associated with better physical performance. Whether changes in density or area are associated with changes in CAD or physical performance will be evaluated through longitudinal analyses in REPRIEVE.

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OBJECTIVES: Coronary computed tomography angiography (coronary CTA) scores based on luminal obstruction, plaque burden, and characteristics are used for prognostication in coronary artery disease (CAD), such as segmental stenosis and plaque extent involvement and Gensini and Leaman scores. The use of coronary CTA scores for the long-term prognosis remains not completely defined. We sought to evaluate the long-term prognosis of CTA scores for cardiovascular events in symptomatic patients with suspected CAD. METHODS: The presence and extent of CAD were evaluated by coronary CTA in patients from two multicenter prospective studies, which were classified according to several coronary CTA scores. The primary endpoint was major adverse cardiac events (MACE). Two hundred and twenty-two patients were followed up for a median of 6.8 (6.3-9.1) years, and 73 patients met the composite endpoints of MACE. RESULTS: Compared to the clinical prediction model, the highest model improvement was observed when added obstructive CAD. After adjustment for the presence of obstructive CAD, the segment involvement score for non-calcified plaque (SISNoncalc) was independently associated with MACE, presenting incremental prognostic value over clinical data and CAD severity (χ2 39.5 vs 21.2, p < 0.001 for comparison with a clinical model; and χ2 39.5 vs 35.6, p = 0.04 for comparison with clinical + CAD severity). Patients with obstructive CAD and SISNoncalc > 3 were likely to experience events (HR 4.27, 95% CI 2.17-4.40, p < 0.001). CONCLUSIONS: Coronary CTA plaque-based scores provide incremental long-term prognostic value for up to 7 years. Among patients with obstructive CAD, the presence of extensive non-calcified disease (> 3 coronary segments) is associated with increased cardiovascular risk for late events independently of the presence of obstructive CAD. KEY POINTS: • Coronary CTA plaque-based scores are long-term prognostic markers in patients with stable CAD. • Besides obstructive CAD, the segment involvement score of non-calcified disease of 3 or more independently increased the risk of cardiovascular events.

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OBJECTIVE: This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown. RESEARCH DESIGN AND METHODS: We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed. RESULTS: Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions. CONCLUSIONS: Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP.

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La tomografía de coherencia óptica (OCT) es una técnica de imagen endovascular con elevada resolución espacial que permite evaluar las diferentes estructuras que componen la pared de las arterias coronarias, caracterizar morfológicamente la placa aterosclerótica y establecer el mecanismo fisiopatológico subyacente en los síndromes coronarios agudos (SCA). Se presenta el caso clínico de un paciente con infarto agudo de miocardio, donde la OCT evidenció que la reducción de la luz arterial estaba determinada principalmente por la presencia de trombo, a la vez que demostró una disrupción endotelial (ruptura de placa) como mecanismo fisiopatológico subyacente. Se adoptó una estrategia invasivo-conservadora, donde finalmente no se implantó stent. La información surgida de la OCT en este caso particular fue fundamental en la toma de decisiones.

Optical coherence tomography (OCT) is an endovascular imaging technique with high spatial resolution. It allows to evaluate the different structures that compose coronary arteries' wall, morphologically characterize atherosclerotic plaques and establish the underlying pathophysiological mechanism in acute coronary syndromes (ACS). The case of a patient with acute myocardial infarction is presented, in which OCT showed that the reduction of arterial lumen was determined mainly by the presence of thrombus, while also demonstrated endothelial disruption (plaque rupture) as the underlying pathophysiological mechanism. An invasive-conservative strategy was adopted and finally stent was not implanted. The information that emerged from the OCT in this particular case was fundamental in decision-making.

A tomografia de coerência óptica (OCT) é uma técnica de imagem endovascular com alta resolução espacial que permite a avaliação das diferentes estruturas que compõem a parede das artérias coronárias, a caracterização morfológica da placa aterosclerótica e o estabelecimento do mecanismo fisiopatológico subjacente de síndrome coronariana aguda (SCA). Apresentamos o caso clínico de um paciente com enfarte agudo do miocárdio, onde a OCT mostrou que a redução do lúmen arterial foi determinada principalmente pela presença de trombo, ao mesmo tempo que demonstrou uma ruptura endotelial (ruptura da placa) como causa fisiopatológica subjacente. Adotou-se uma estratégia invasiva-conservadora, onde finalmente o stent não foi implantado. As informações obtidas da OCT neste caso específico foram fundamentais na tomada de decisão.

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BACKGROUND: This study aimed to evaluate the associations between Lipoprotein (a) ‒ Lp(a) levels and carotid Intima-Media Thickness (cIMT) and with carotid plaques in healthy subjects because of previous contradictory data. METHODS: A total of 317 healthy normolipidemic subjects (20‒77 years old) were selected. The cIMT and atherosclerotic plaques were determined by B-mode ultrasonography. Mann-Whitney tests were performed to compare the groups according to Lp(a) levels and to explore the associations between Lp(a), carotid plaques, and cIMT, logistic and linear regression analyses were performed. RESULTS: Studied population (51% females, median age 43 years old) presented carotid plaques and cIMT ≥ 0.9 mm in 23% and 18% of the participants, respectively. The group with Lp(a) levels > 30 mg/dL presented significantly higher age and atherosclerotic plaques. Indeed, multivariate linear regression analysis showed a significant association between Lp(a), age, and race. On the other hand, logistic regression analysis demonstrated that the subjects with Lp(a) > 30 mg/dL have a significantly high risk of carotid plaques. CONCLUSION: The data from the present study indicate that Lp(a) levels above 30 mg/dL contribute to the development of carotid plaques even in apparently healthy participants.

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ABSTRACT: The introduction of FDG in 1976 started a new discipline and enhanced the role of molecular imaging in medicine. While the initial intent with this tracer was to determine brain function in a variety of neuropsychiatric disorders, over time, this powerful approach has made a major impact on managing many other diseases and disorders. During the past 2 decades, FDG PET has been used to detect inflammatory lesions in the atherosclerotic plaques and in other settings. However, the suboptimal spatial resolution of PET limits its ability to visualize plaques that are very small in size. Furthermore, this tracer remains in the blood for an extended period and therefore provides suboptimal results. Target-to-background ratio (TBR) has been suggested to correct for this source of error. Unfortunately, TBR values vary substantially, depending on the timing of image acquisition. Delayed imaging at later time points (3-4 hours) may obviate the need for TBR measurement, but it is impractical with conventional PET instruments. Recently, 18F-sodium fluoride (NaF) has been used for detection and quantification of molecular calcification in the plaques. This tracer is highly specific for calcification and is rapidly cleared from the circulation. In addition, global atherosclerotic burden as measured by NaF PET can be determined accurately either in the heart or major arteries throughout the body. Therefore, the role of FDG PET-based TBR measurement for detection and quantification of atherosclerotic plaques is questionable at this time.

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