Coronary Tomography Angiography Research Articles

Third-Generation Sirolimus‐Eluting Bioresorbable Tyrocore Scaffold Implantation in Patients with ST‐Segment Elevation Myocardial Infarction: Baseline and 6-Month OCT and Clinical Outcomes—a FANTOM STEMI Pilot Study

PurposeThe aim of this study was to evaluate the safety and efficacy of the Fantom BRS 6 months after implantation using the optical coherence tomography (OCT) imaging.MethodsTwenty STEMI patients treated with a sirolimus‐eluting Fantom BRS were enrolled into a prospective, single-arm, serial observational study. The scaffold sizing, positioning and optimisation were guided by OCT imaging. The primary endpoint was device‐orientated composite endpoints (DOCE), comprised of cardiac death, target-vessel-related myocardial infarction and target lesion failure. To evaluate the device performance at the scaffold level, we performed a quantitative coronary angiography (QCA) and OCT imaging at 6 months.ResultsThe primary endpoint did not occur in any patient within the 6-month follow‐up. There were no major adverse cardiac events (MACEs) or DOCEs, no cases of scaffold thrombosis, target lesion revascularization and no deaths. In QCA, we observed a decrease in the minimum and mean lumen diameter in the in-scaffold region and in the proximal and distal peri-scaffold region. Similarly, the minimum lumen area and reference vessel diameter had decreased in both QCA and OCT. The OCT imaging showed improvement in the expansion index and malposition rate.ConclusionA serial 6-month OCT imaging after implantation of a third-generation Tyrocore-based bioresorbable coronary scaffold indicated good coverage of the struts with excellent healing of the scaffold, low neointima growth and no signs of neoatherosclerosis.

Right Coronary Artery Origin from Left Sinus of Valsalva with an Inter-arterial Course: Case Report and Review of Literature

Introduction: Overally the anomaly of the coronary arteries are rare. Its incidence according to angiographic, autopsy and echocardiographic findings, are about 1%, 0.29% and less than 0.1% respectively. Usually these are the incidental finding during angiography without clinical presentation. These anomalies may be accompanied by myocardial ischemia, arrhythmia, syncope and sudden death. Case Presentation: We present a 14-year-old Iranian boy who experienced chest pain and shortness of breath after engaging in physical activity. The right coronary artery (RCA) had an intramural and inter-arterial course and was proven to have originated from the left sinus of Valsalva by computed tomographic coronary angiography (CTCA). The RCA began adjunct to the ostium of the left main coronary artery and coursed intramural at first and then continued between the aorta and pulmonary artery. The patient underwent corrective surgery. The RCA was cut from origin and reanastomosd to the right coronary sinus after preparing the sinus. The patient recovered well and he was discharged with the ability to perform sports activity. One year Follow up of the patient was uneventful. Conclusions: Even though single ostium coronary artery abnormalities are uncommon, they have become more frequently identified in recent years using non-invasive techniques such transthoracic echocardiography, which is then followed by CT angiography or conventional angiography. These patients are susceptible to sudden death, so attention to symptoms of the patients and comprehensive approach to them can be lifesaving.

The year in cardiovascular medicine 2022: the top 10 papers in acute cardiac care and ischaemic heart disease.

Several papers in 2022 have provided data that are likely to influence future research, as well as the diagnosis and treatment of ischaemic heart disease patients and those requiring acute cardiac care. APTT, activated partial thromboplastin time; CABG, coronary artery by-pass grafting; CAD, coronary artery disease; CCTA, computed coronary tomography angiography; FFR, fractional flow reserve; OMT, optimal medical treatment; PCI, percutaneous coronary intervention.

Validity and Diagnostic Performance of Computing Fractional Flow Reserve From 2-Dimensional Coronary Angiography Images

Measurement of fractional flow reserve (FFR) is the gold standard for determining the physiologic significance of coronary artery stenosis, but newer software programs can calculate the FFR from 2-dimensional angiography images. A retrospective analysis was conducted using the records of patients with intermediate coronary stenoses who had undergone adenosine FFR (aFFR). To calculate the computed FFR, a software program used simulated coronary blood flow using computational geometry constructed using at least 2 patient-specific angiographic images. Two cardiologists reviewed the angiograms and determined the computational FFR independently. Intraobserver variability was measured using κ analysis and the intraclass correlation coefficient. The correlation coefficient and Bland-Altman plots were used to assess the agreement between the calculated FFR and the aFFR. A total of 146 patients were included, with 95 men and 51 women, with a mean (SD) age of 61.1 (9.5) y. The mean (SD) aFFR was 0.847 (0.072), and 41 patients (27.0%) had an aFFR of 0.80 or less. There was a strong intraobserver correlation between the computational FFRs (r = 0.808; P < .001; κ = 0.806; P < .001). There was also a strong correlation between aFFR and computational FFR (r = 0.820; P < .001) and good agreement on the Bland-Altman plot. The computational FFR had a high sensitivity (95.1%) and specificity (90.1%) for detecting an aFFR of 0.80 or less. A novel software program provides a feasible method of calculating FFR from coronary angiography images without resorting to pharmacologically induced hyperemia.

The relationship between epicardial adipose tissue thickness and coronary artery disease progress.

The relationship between epicardial adipose tissue and inflammatory events has been shown in many studies. Because it is an inflammatory process in coronary progression, it is aimed to examine the relationship between coronary artery disease progression and epicardial adipose tissue thickness. Our research was conducted with 50 patients (33 men, 17 women) who underwent planned or emergency coronary angiography, by evaluating the coronary artery disease progression from the coronary angiography images together with the echocardiographic epicardial adipose tissue thickness measurement. Patients were examined in two groups according to their tissue thickness, 17 patients with less than 0.55 cm were defined as group 1 and 33 patients with ≥ 0.55 were determined as group 2. There was no significant difference between the groups in terms of gender, diabetes, age, hypertension. In addition, a significant relationship was found with epicardial adipose tissue thickness (> 0.5 cm), ejection fraction and smoking in the group with coronary progression. Patients without stenotic changes were found to be statistically significantly lower p < 0.005. An independent relationship was found between epicardial adipose tissue and coronary artery progression. In the light of these findings, it can be concluded that epicardial adipose tissue residue is effective in the development of coronary artery stenosis and calcific-atherosclerotic changes in the coronary arteries. In the light of the information obtained, a positive correlation was determined between epicardial adipose tissue thickness and coronary artery disease (Tab. 3, Fig. 2, Ref. 15). Text in PDF www.elis.sk Keywords: coronary artery disease, epicardial adipose tissue, progression.

Radial wall strain: a novel angiographic measure of plaque composition and vulnerability.

The lipid-to-cap ratio (LCR) and thin-cap fibroatheroma (TCFA) derived from optical coherence tomography (OCT) are indicative of plaque vulnerability. We aimed to explore the association of a novel method to estimate radial wall strain (RWS) from angiography with plaque composition and features of vulnerability assessed by OCT. Anonymised data from patients with intermediate stenosis who underwent coronary angiography (CAG) and OCT were analysed in a core laboratory. Angiography-derived RWSmax was computed as the maximum deformation of lumen diameter throughout the cardiac cycle, expressed as a percentage of the largest lumen diameter. The LCR and TCFA were automatically determined on OCT images by a recently validated algorithm based on artificial intelligence. OCT and CAG images from 114 patients (124 vessels) were analysed. The average time for the analysis of RWSmax was 57 (39-82) seconds. The RWSmax in the interrogated plaques was 12% (10-15%) and correlated positively with the LCR (r=0.584; p<0.001) and lipidic plaque burden (r=0.411; p<0.001), and negatively with fibrous cap thickness (r= -0.439; p<0.001). An RWSmax >12% was an angiographic predictor for an LCR >0.33 (area under the curve [AUC]=0.86, 95% confidence interval [CI]: 0.78-0.91; p<0.001) and TCFA (AUC=0.72, 95% CI: 0.63-0.80; p<0.001). Lesions with RWSmax >12% had a higher prevalence of TCFA (22.0% versus 1.5%; p<0.001), thinner fibrous cap thickness (71 μm versus 101 μm; p<0.001), larger lipidic plaque burden (23.3% versus 15.4%; p<0.001), and higher maximum LCR (0.41 versus 0.18; p<0.001) compared to lesions with RWSmax ≤12%. Angiography-derived RWS was significantly correlated with plaque composition and known OCT features of plaque vulnerability in patients with intermediate coronary stenosis.

Non-contrast magnetic resonance angiography for systemic artery evaluation in Kawasaki disease.

Kawasaki disease (KD) is a systemic vasculitis; systemic arteries other than the coronary arteries should therefore also be evaluated. This study investigated the feasibility of evaluating coronary aneurysms, systemic artery aneurysms (SAAs), and cerebrovascular diseases in patients with KD using non-contrast magnetic resonance angiography (NC-MRA). Coronary artery protocols, including coronary magnetic resonance angiography (MRA) and vessel wall imaging, were performed in 57 examinations of 28 patients. Systemic artery protocol, including SAA scans and head MRA, along with coronary artery protocol, were performed in 42 examinations of 42 patients. The image quality of the SAAs was evaluated on a 4-point scale. Examination time and sedation dosage were compared between the protocols. The presence of SAAs and cerebrovascular disease was also evaluated. The image quality score of SAAs was 4 (interquartile range [IQR]: 4-4) for the aorta, 4 (IQR: 3-4) for the subclavian artery, 4 (IQR: 3-4) for the renal artery, and 3 (IQR: 3-4) for the iliac artery. No differences were found between examination time (47.0 [IQR: 43.0-61.0] min vs. 51.0 [IQR: 45.0-60.0] min, p = 0.48) and sedative dose (4.63 [IQR: 3.93-5.79] mg/kg vs. 4.21 [IQR: 3.56-5.71] mg/kg, p = 0.37) between the protocols. Systemic artery protocol detected SAAs in three patients (7.1%), and cerebrovascular disease was not detected. Evaluating the coronary and systemic arteries in patients with KD using NC-MRA on a single examination was possible without compromising examination time or sedation dose. The systemic artery protocol was useful in finding SAAs.

Novel fast FFR derived from coronary CT angiography based on static first-pass algorithm: a comparison study.

Fractional flow reserve (FFR) is the invasive gold standard for evaluating coronary arterial stenosis. However, there have been a few non-invasive methods such as computational fluid dynamics FFR (CFD-FFR) with coronary CT angiography (CCTA) images that can perform FFR assessment. This study aims to develop a new method based on the principle of static first-pass of CT perfusion imaging technique (SF-FFR) and evaluate the efficacy in direct comparisons between CFD-FFR and the invasive FFR. A total of 91 patients (105 coronary artery vessels) who were admitted from January 2015 to March 2019 were enrolled in this study, retrospectively. All patients underwent CCTA and invasive FFR. 64 patients (75 coronary artery vessels) were successfully analyzed. The correlation and diagnostic performance of SF-FFR method on per-vessel basis were analyzed, using invasive FFR as the gold standard. As a comparison, we also evaluated the correlation and diagnostic performance of CFD-FFR. The SF-FFR showed a good Pearson correlation (r = 0.70, P < 0.001) and intra-class correlation (r = 0.67, P < 0.001) with the gold standard. The Bland-Altman analysis showed that the average difference between the SF-FFR and invasive FFR was 0.03 (0.11-0.16); between CFD-FFR and invasive FFR was 0.04 (-0.10-0.19). Diagnostic accuracy and area under the ROC curve on a per-vessel level were 0.89, 0.94 for SF-FFR, and 0.87, 0.89 for CFD-FFR, respectively. The SF-FFR calculation time was about 2.5 s per case while CFD calculation was about 2 min on an Nvidia Tesla V100 graphic card. The SF-FFR method is feasible and shows high correlation compared to the gold standard. This method could simplify the calculation procedure and save time compared to the CFD method.

Gender-Dependent Comparison of Coronary Computed Tomography Angiographic Characteristics among Patients with Suspected Atherosclerosis: A Single-Center Experience.

In this study, we aimed to examine gender-based differences in coronary artery disease (CAD) risk factors, the presence and severity of atherosclerosis, and the distribution of plaque type in patients presenting with chest pain. A total of 1496 patients who applied to our cardiology outpatient clinic with chest pain and underwent computed coronary tomographic angiography (CTA) between August 2020 and October 2021 were included in the study. Plaque characteristics, Agatston score, and Coronary Artery Disease-Reporting and Data System (CAD-RADS) score obtained from the patients' CTAs were compared by gender. Of the 1496 patients evaluated, 47.9% were female. Coronary atherosclerosis was detected in 35.4% of females and 52.9% of males (P <0.001). Diabetes mellitus [155 (21.8%) vs. 123 (15.7%); P <0.001] and hypertension [271 (38.1%) vs. 249 (32%); P <0.001] rates were higher in females than in males. Plaque burden and high-risk plaque rate were found to be higher in males (P <0.001). Next, the rate of moderate-to-high coronary artery stenosis (CAD-RADS ≥3) was observed at 21.6% in men and 12.2% in women (P <0.001). Agatston score was found to be higher in males than in females for all age groups (P <0.001). The severity of CAD increased sharply with age in females (P interaction = 0.003). Although female patients demonstrated higher rates of traditional risk factors, the male gender was associated with increased coronary plaque burden, high-risk plaque, CADRADS, and Agatston scores. Therefore, patient-based approaches that consider gender-related differences could provide effective treatment and follow-up.

Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture on Computed Tomography Coronary Angiography Images

Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture on Computed Tomography Coronary Angiography Images

Computing intracoronary blood flow rate under incomplete boundary conditions: Combing coronary anatomy and fractional flow reserve.

Accurate measurement of intracoronary blood flow rate is of great significance for the diagnosis of ischemic heart disease (IHD). Computational fluid dynamic (CFD) method, combining coronary angiography images and fractional flow reserve (FFR), provides a new way to calculate the mean flow rate. However, due to the incomplete boundary conditions obtained by FFR, side branches were ignored which was likely to have a significant impact on the accuracy. In this paper, a novel CFD based method for calculating the mean intracoronary flow rate under incomplete pressure boundary conditions was proposed, in order to improve the accuracy by including the side branches. A pressure-flow curve based flow resistance model was employed to model resistance of the epicardial arteries. A series of steady flow simulations were performed to extract the parameters of the flow resistance model, which implicitly specified constraints for splitting flow between branches and thus enabled the mean intracoronary blood flow rate to be calculated in two or more branches under incomplete pressure boundary conditions. Simulation experiments were designed to validate the proposed method in both idealized and reconstructed 3D models of coronary branches, and the impact of the assumed coefficient of the Murray's Law for splitting flow between branches was also investigated. The mean percentage error of the proposed method was +2.05%±0.04% for idealized models and +2.24%±0.01% for reconstructed models, and it was much lower than that of the method ignoring side branches (+38.48%±10.45% for idealized models and +30.54%±6.12% for reconstructed models). When the assumed coefficient of the Murray's Law was inconsistent with the real blood flow condition, the percentage errors still maintained less than about 3.00%. The proposed method provided an easy and accurate way to measure the mean intracoronary flow rate and would facilitate the accurate diagnosis of IHD.

Centerline-supervision multi-task learning network for coronary angiography segmentation

With convolutional neural networks’ remarkable performance in computer vision, more and more studies are applying deep learning to vessel image segmentation tasks. This work focuses on the task of coronary X-ray angiography segmentation, which is critical in the diagnosis of cardiovascular disorders. For vascular segmentation in coronary X-ray angiography images, we propose a novel deep learning model based on the UNet backbone. We first equip a channel attention module in skip-connections to improve pixel-wise segmentation accuracy by emphasizing the effective channel in low-level features. A centerline auxiliary supervision module is also introduced at the network’s end to provide prior knowledge of vessel connectivity and thick vessels, utilizing the existing binary segmentation annotations efficaciously. Consequently, the network can devote more attention to pixels that ensure vessel tree connectivity and high confidence. Extensive experiments demonstrate the effectiveness of the two modules in improving the performance of the model. We compared our results to the recently proposed networks and revealed that these two modules can be added to other U-shaped networks to enhance performance. In our experiments, our method produced the best results in terms of sensitivity and dice score, with 82.48 and 85.28, respectively.

A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs

Objective: To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Methods: Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical examination centers in China were included in this retrospective study. Two radiologists, who were not aware of the study design, independently evaluated the coronary angiography images of each subject to make CHD diagnosis. A deep learning model using convolutional neural networks (CNN) was used to label the fundus images according to the presence or absence of CHD, and the model was proportionally divided into training and test sets for model training. The prediction performance of the model was evaluated in the test set using monocular and binocular fundus images respectively. Prediction efficacy of the algorithm for cardiovascular risk factors (e.g., age, systolic blood pressure, gender) and coronary events were evaluated by regression analysis using the area under the receiver operating characteristic curve (AUC) and R2 correlation coefficient. Results: The study retrospectively collected 51 765 fundus images from 25 222 subjects, including 10 255 patients with CHD, and there were 14 419 male subjects in this cohort. Of these, 46 603 fundus images from 22 701 subjects were included in the training set and 5 162 fundus images from 2 521 subjects were included in the test set. In the test set, the deep learning model could accurately predict patients' age with an R2 value of 0.931 (95%CI 0.929-0.933) for monocular photos and 0.938 (95%CI 0.936-0.940) for binocular photos. The AUC values for sex identification from single eye and binocular retinal fundus images were 0.983 (95%CI 0.982-0.984) and 0.988 (95%CI 0.987-0.989), respectively. The AUC value of the model was 0.876 (95%CI 0.874-0.877) with either monocular fundus photographs and AUC value was 0.885 (95%CI 0.884-0.888) with binocular fundus photographs to predict CHD, the sensitivity of the model was 0.894 and specificity was 0.755 with accuracy of 0.714 using binocular fundus photographs for the prediction of CHD. Conclusion: The deep learning model based on fundus photographs performs well in identifying coronary heart disease and assessing related risk factors such as age and sex.

1150 SEX-BASED DIFFERENCES IN CORONARY PLAQUE PHENOTYPE AND HEALING AT OPTICAL COHERENCE TOMOGRAPHY (OCT) ANALYSIS

Abstract Introduction Atherosclerotic plaque healing is a dynamic process that promotes plaque repair after destabilization. Previous studies showed that healed plaques are more common in patients with chronic coronary syndrome than in those with acute coronary syndrome, suggesting that they might be a marker of clinical stability. The mechanisms underlying plaque healing are not completely understood. The aim of the present study was to evaluate sex-based differences in plaque phenotype and healing of non-culprit coronary lesions by optical coherence tomography. Methods In this observational, single-center cohort study, we enrolled patients from the OCT Registry of the Fondazione Policlinico A Gemelli IRCCS. A total of 205 patients with both acute coronary syndromes or chronic coronary syndromes undergoing coronary angiography and intravascular OCT imaging of non-culprit vessels were included in the analysis and divided into two groups according to gender. Results Of 205 patients, 153 were male (75%) and 52 (25%) female. Compared with male patients, female patients had lower prevalence of lipid-rich plaque (40.4% vs. 57.7%; p=0.030), plaque rupture (7.7% vs. 21.2%; p=0.028) and cholesterol crystal (13.5% vs. 29.5%; p=0.022). Mean lipid arc and calcium depht were significantly lower in female patients than in male ones (118.0° ± 79.9° vs. 135.5° ± 77.9°; p=0.011; and 52.7 µm ± 79.2 µm vs. 72.3 µm ± 93.5 µm; p=0.007) while fibrous cap tended to be thicker (108.2 µm ± 70.4 µm vs. 96.2 µm ± 72.9 µm; p=0.055). Healed plaques were significantly more frequent in female patients than in male patients (51.9% vs 34.6%; p = 0.027). The prevalence of fibrous plaque, thrombi, neovascularization, diffuse calcifications and spotty calcification was not different between the two groups. Conclusion Females have a distinct atherosclerotic phenotype and healing capacity compared with male patients, including lower prevalence of lipid-rich plaque, cholesterol crystals and plaque ruptures and higher prevalence of healed plaques in non-culprit coronary lesions.

Trends in coronary calcium score and coronary CT angiography imaging volume during the COVID-19 pandemic

The COVID-19 pandemic disrupted the delivery of preventative care and management of acute diseases. This study assesses the effect of the COVID-19 pandemic on coronary calcium score and coronary CT angiography imaging volume. A single institution retrospective review of consecutive patients presenting for coronary calcium score or coronary CT angiography examinations between January 1, 2020 to January 4, 2022 was performed. The weekly volume of calcium score and coronary CT angiogram exams were compared. In total, 1,817 coronary calcium score CT and 5,895 coronary CT angiogram examinations were performed. The average weekly volume of coronary CTA and coronary calcium score CT exams decreased by up to 83% and 100%, respectively, during the COVID-19 peak period compared to baseline (P < 0.0001). The post-COVID recovery through 2020 saw weekly coronary CTA volumes rebound to 86% of baseline (P=0.024), while coronary calcium score CT volumes remained muted at only a 53% recovery (P < 0.001). In 2021, coronary CTA imaging eclipsed pre-COVID rates (P=0.012), however coronary calcium score CT volume only reached 67% of baseline (P < 0.001). A significant decrease in both coronary CTA and coronary calcium score CT volume occurred during the peak-COVID-19 period. In 2020 and 2021, coronary CTA imaging eventually superseded baseline rates, while coronary calcium score CT volumes only reached two thirds of baseline. These findings highlight the importance of resumption of screening exams and should prompt clinicians to be aware of potential undertreatment of patients with coronary artery disease.

Discussion on the causes of thrombolysis failure in a patient with STEMI: a case report

BackgroundSpontaneous coronary artery dissection (SCAD) has emerged as an increasingly diagnosed cause of ST-segment elevation myocardial infarction (STEMI), which is easily missed or delayed. The effective use of coronary angiography (CAG) and advanced intracoronary imaging examinations in STEMI patients has led to increased detection of SCAD.Case presentationA 59-year-old woman with acute angina pectoris was diagnosed with STEMI detected by electrocardiography combined with measurement of myocardial enzymes. Due to the ongoing pandemic of coronavirus disease 2019 (COVID-19) in Wuhan, she was first given thrombolytic therapy after excluding contraindications according to the requirements of the current consensus statement; however, subsequently, both the symptoms of ongoing chest pain and the electrocardiographic results indicated the failure of thrombolytic therapy, so the intervention team administered rescue percutaneous coronary intervention treatment under third-grade protection. CAG confirmed total occlusion in the distal left anterior descending (LAD) artery, with thrombolysis in myocardial infarction (TIMI) 0 flow, whereas the left circumflex and right coronary arteries appeared normal, with TIMI 3 flow. Intravenous ultrasound (IVUS) was further performed to investigate the causes of occlusion, which verified the absence of atherosclerosis but detected SCAD with intramural haematoma. During the operation, the guidewire reached the distal end of the LAD artery smoothly, the balloon was dilated slightly, and the reflow of TIMI blood could be seen by repeated CAG. During the follow-up period of one and a half years, the patient complained of occasional, slight chest tightness. The repeated CAG showed that the spontaneous dissection in the LAD artery had healed well, with TIMI 3 flow. The repeated IVUS confirmed that the SCAD and intramural haematoma had been mostly resorbed and repaired.ConclusionThis was a case of failed STEMI thrombolysis in our hospital during the outbreak of COVID-19. This case indicates that doctors need to consider the cause of the disease when treating STEMI patients, especially patients without traditional cardiovascular risk factors. Moreover, CAG and intracoronary imaging examinations should be actively performed to identify the aetiology and improve the treatment success rate.

Abstract 12348: High-Risk Low-Density Non-Calcified Plaque Morphology

Hypothesis The morphology of low-density non-calcified coronary plaque is associated with acute coronary syndrome (ACS) and culprit lesion precursors Methods: This was a post-hoc analysis of the multicenter ICONIC study. A subset of 94 patients suspected of coronary artery disease (CAD) underwent coronary CT angiography imaging (CCTA) with subsequent follow-up for the occurrence of the first ACS event were selected. At the time of ACS, the culprit lesion was adjudicated by invasive coronary angiography cardiologists blinded to the CCTA. Quantitative CT was performed by a validated software as a service (Cleerly Labs, Cleerly, Inc., Denver, CO). A level-III reader used multiplanar reformation (MPR) images from this analysis to qualitatively assess individual collections of low-density non-calcified (LDNC) plaques (-189 to 30 HU). The degree of embedded LDNC plaque (DELP) was the amount a LDNC plaque was surrounded by non-calcified plaque. DELP was categorized as 90, 180, 270, and 360. LDNC plaque shape was categorized as crescent, round, lobular, or bean-shaped. DELP and shape were qualitatively assessed using the cross-sectional MPR image with the greatest LDNC plaque area. LDNC plaques with &gt;270 DELP and round or bean-shaped were considered high-risk plaque (HRP) morphology. Results: ACS occurred in 64 patients. 247 LDNC plaques were analyzed. Patients without and with ACS had, on average 0.40±0.86 and 1.02±1.21 (p-value = 0.014) LDNC plaques with HRP morphology. The proportional hazard ratio associating the presence of one or more HRP morphology plaques with ACS was 2.03 (1.19, 3.48; p-value = 0.009), after controlling for diameter stenosis, age, sex, and family history of CAD. The odds ratio of the association of HRP morphology with culprit lesion precursors was 10.93 (3.77, 31.71; p-value &lt;0.001), after controlling for diameter stenosis, age, sex, and family history of CAD. Conclusion HRP morphology may improve the stratification of patients at risk for ACS.

Abstract 13889: Effect of Eicosapentaenoic and Docosahexaenoic Acid Supplementation on Noncalcified Coronary Plaque and Coronary Artery Calcium Score in Subjects With Coronary Artery Disease According to Hypertension Status

Introduction: Higher amounts of noncalcified plaque and higher coronary artery calcium (CAC) scores are associated with increased cardiovascular events and mortality. The effect of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) on noncalcified coronary plaque and more advanced calcified plaque as measured by the CAC score according to hypertensive (HTN) status is unknown. Methods: A total of 242 subjects with coronary artery disease (CAD) on statin were randomized to 3.36 g of EPA+DHA or none (control) for 30 months. Coronary plaque composition and CAC scores were measured with computed tomographic coronary angiography at baseline and 30-month follow-up. Results: Mean (SD) age was 63.1 years (7.7); mean (SD) LDL-C: 77.8 mg/dL (27.3) and median [IQR] triglyceride (TG): 117.5 mg/dL [81.3,166.8]. Despite a significantly higher CAC score at baseline in HTN subjects, both HTN and normotensive (NTN) subjects had similar CAC progression over 30 months with no difference between EPA+DHA and control groups (Figure B). NTN subjects on EPA+DHA had a 20.7% reduction in TG level and 36.6% lower neutrophil count, a marker of inflammation, and lack of progression of noncalcified plaque compared to control who had progression (median % change: -7.6 vs 13.2 mm 3 /mm, P=0.008) (Figure A). In contrast, HTN subjects on EPA+DHA and control had progression of noncalcified coronary plaque with no significant difference between the two groups (Figure A) Conclusions: EPA+DHA prevented progression of noncalcified plaque in NTN subjects but not HTN subjects with no effect on more advanced plaque which has calcified in the setting of low LDL-C and TG levels. The benefit of EPA+DHA in CAD patients on statin therapy appears limited to noncalcified coronary plaque in NTN subjects. Whether this benefit is related to more favorable effects on inflammation based on blood pressure status should be examined further.

Abstract 13582: Biomarkers of Adverse Cardiovascular Events in Chronic Coronary Disease: Data From the ISCHEMIA Trial

Introduction: Circulating biomarkers may improve prediction of cardiovascular (CV) events in chronic coronary disease (CCD). The incremental value of biomarkers in CCD after adjustment for clinical factors, inducible ischemia and coronary artery disease (CAD) severity is uncertain. Methods: 756 ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) participants with site-determined moderate-severe ischemia and 9 assayed biomarkers (Figure) were included. Among participants with interpretable stress tests for ischemia and CAD by computed coronary tomography angiography (CCTA) (N=507), associations of biomarkers with the primary (CV death, myocardial infarction (MI), or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest) or secondary endpoints (CV death or MI) were evaluated using sequentially adjusted multivariable Cox proportional hazards models (Model 1=unadjusted, Model 2=clinical features, Model 3=Model 2 + multivessel CAD by CCTA, and Model 4=Model 3 + severe ischemia). Results: Median (IQR) participant age was 64 (57-70) years, 19% were female, 81% white, and 5% Hispanic. Hypertension (85%), diabetes (46%) and obesity (45%) were common, 28% had an estimated glomerular filtration rate &lt;60 ml/min/1.73m 2 . Severe ischemia was present in 44%, and 39% had multivessel CAD (≥70% stenosis) by CCTA. Over 3.5 (2.4-4.7) years of follow-up there were 146 (19%) primary and 128 (17%) secondary endpoints. Soluble CD40L, GDF-15, NT-proBNP, hsTnT were associated with the primary and secondary endpoints in univariable and multivariable (adjusting for clinical features, multivessel CAD and severe ischemia) models. Conclusion: Biomarkers of inflammation (GDF-15), thrombosis (sCD40L), myocardial stretch (NT-proBNP) and injury (hs-troponin) were associated with CV endpoints in the ISCHEMIA trial independent of clinical features, multivessel CAD and severe ischemia.

Current Concepts and Future Applications of Non-Invasive Functional and Anatomical Evaluation of Coronary Artery Disease.

Over the last decades, significant advances have been achieved in the treatment of coronary artery disease (CAD). Proper non-invasive diagnosis and appropriate management based on functional information and the extension of ischemia or viability remain the cornerstone in the fight against adverse CAD events. Stress echocardiography and single photon emission computed tomography are often used for the evaluation of ischemia. Advancements in non-invasive imaging modalities such as computed tomography (CT) coronary angiography and cardiac magnetic resonance imaging (MRI) have not only allowed non-invasive imaging of coronary artery lumen but also provide additional functional information. Other characteristics regarding the plaque morphology can be further evaluated with the latest modalities achieving a morpho-functional evaluation of CAD. Advances in the utilization of positron emission tomography (PET), as well as software advancements especially regarding cardiac CT, may provide additional prognostic information to a more evidence-based treatment decision. Since the armamentarium on non-invasive imaging modalities has evolved, the knowledge of the capabilities and limitations of each imaging modality should be evaluated in a case-by-case basis to achieve the best diagnosis and treatment decision. In this review article, we present the most recent advances in the noninvasive anatomical and functional evaluation of CAD.