FIB-4 Index and Liver Stiffness Measurement are Potential Predictors of Atherosclerosis in Metabolic Dysfunction-Associated Steatotic Liver Disease.

AIMS: Cardiovascular disease (CVD) is a common cause of death in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Therefore, CVD surveillance is important, but it is not well established. We evaluated the association between liver fibrosis, carotid artery atherosclerosis, and coronary artery stenosis in patients with MASLD. METHODS: Overall, 153 patients with MASLD who underwent carotid artery ultrasound were enrolled. Maximum intima-media thickness including plaques (Max-IMT) was measured by ultrasound. To predict liver fibrosis, liver stiffness was measured by vibration-controlled transient elastography and the fibrosis 4 (FIB-4) index was calculated. Coronary computed tomography angiography was performed to detect coronary artery stenosis based on a Max-IMT of ≥ 1.1 mm. RESULTS: The median Max-IMT was 1.3 mm, and 63 patients (41.2%) had a Max-IMT of ≥ 1.5 mm. FIB-4 index and liver stiffness was significantly correlated with Max-IMT, respectively (ρ=0.356, p＜0.001, ρ=0.25, p=0.002). Liver stiffness was significantly associated with a Max-IMT of ≥1.5 mm, independent of age. Individuals with higher FIB-4 index had moderate or severe coronary artery stenosis more frequently. Individuals with higher LSM level also had moderate or severe coronary artery stenosis more frequently, especially severe stenosis. CONCLUSIONS: Liver fibrosis parameters were associated with carotid artery atherosclerosis and coronary artery stenosis. Evaluation of liver fibrosis may be useful to identify significant atherosclerosis and coronary artery stenosis in patients with MASLD.

Pulmonary Vein in a Pinch.

The pulmonary veins normally drain into the left atrium, with the superior pulmonary veins typically situated anterior and inferior to the right pulmonary arteries. However, anomalies can happen. We encountered an exceedingly rare pulmonary vascular anomaly for a patient presenting with atypical chest pain, where the right superior pulmonary vein aberrantly ran posterior to the right pulmonary artery (RPA) and became compressed between the RPA and the right main bronchus. Coronary computed tomography angiography identified this specific pulmonary vein anomaly but revealed unremarkable coronary arteries.

Exploring the link between myocardial bridging and left ventricular hypertrophy: Congenital factors or remodelling?

BACKGROUND: Myocardial bridging (MB) was considered a congenital anomaly and found increased frequency in coronary computed tomography angiography. Some case studies reported the association of MB with various cardiomyopathies. However, the association between MB severity and left ventricular hypertrophy remains unclear. This cross-sectional study aimed to evaluate whether myocardial bridge is related to left ventricular hypertrophy in patients referred for coronary computed tomography angiography (CCTA). METHODS: This cross-sectional study included two hundred and twenty-seven patients (age 53.2 [11.1] years, 48 % female) who underwent 640-slice CCTA and were diagnosed with MB. MB severity was measured as MB muscle index (MMI) (MB length x MB thickness) and, left ventricular hypertrophy (LVH) was assessed with transthoracic echocardiography. RESULTS: MB segments were detected in all patients on the left anterior descending artery. CCTA was performed to exclude coronary artery disease in most patients (90%, n=206). Eighty-two (36.1 %) had LVH, and MMI was significantly higher in patients with LVH than those without LVH (27.3[19.5-38.9] vs 24 [13.8-37.1], P = 0.022, respectively). There was a positive correlation between the left ventricular mass index and myocardial bridge length (r=0.414, P =0.001), MB index (r=0.310, P <0.001), and the age of the patients (r=0.191, P = 0.004). MB thickness and MMI were also positively correlated with relative wall thickness. CONCLUSION: MB is a common finding, and its severity is associated with left ventricular hypertrophy in patients undergoing CCTA.

Sex differences in prevalence and characteristics of imaging detected atherosclerosis - a population-based study.

AIMS: Men are more likely to suffer a myocardial infarction than women, but population-based studies on sex differences in imaging detected atherosclerosis are lacking. The aims were to assess sex differences in prevalence of imaging detected coronary and carotid atherosclerosis, as well as multivariable adjusted associations between sex and atherosclerosis. METHODS AND RESULTS: Participants aged 50-65, recruited from the general population to the Swedish Cardiopulmonary bioImage Study (SCAPIS), were included in this population-based cross-sectional study. Comprehensive diagnostics, including coronary computed tomography angiography and carotid ultrasound, were performed. The image findings were any coronary atherosclerosis, coronary stenosis ≥50%, segment involvement score (SIS) ≥4, coronary artery calcium score (CACS) ≥100, and any ultrasound-detected carotid plaque.In 25,580 participants (50% women), men had more hypertension (20.3% vs 17.0%), hyperlipidaemia (9.0% vs 5.5%), and diabetes (8.5% vs 4.7%). The prevalence was 56.2% vs 29.5% for any coronary atherosclerosis (p<0.01), 9.0% vs 2.3% for coronary stenosis ≥50% (p<0.01), 20.2% vs 5.3% for SIS≥4 (p<0.01), 18.2% vs 5.6% for CACS≥100 (p<0.01), and 60.9% vs 48.7% for carotid plaque (p<0.01), in men vs women, respectively. Multivariable adjustment only marginally changed these associations: odds ratios [OR] (95% confidence interval [CI]): 2.75 (2.53-2.99) for coronary atherosclerosis, 2.88 (2.40-3.45) for coronary stenosis ≥50%, 3.99 (3.50-4.55) for SIS≥4, 3.29 (2.88-3.75), for CACS≥100, and 1.57 (1.45-1.70) for carotid plaque. CONCLUSION: Men had higher prevalence of imaging detected carotid and coronary atherosclerosis with prevalence in women aged 65 corresponding to men 10-14 years younger. The associations remained after extensive multivariable adjustment.

STress computed tomogRaphy perfusion and stress cArdiac magnetic resonance for ThE manaGement of suspected or known coronarY artery disease: resources and outcomes impact.

BACKGROUND: The aim of this study is to describe resources and outcomes of coronary computed tomography angiography plus Stress CT perfusion (CCTA â€‹+ â€‹Stress-CTP) and stress cardiovascular magnetic resonance (Stress-CMR) in symptomatic patients with suspected or known CAD. METHODS: Six hundred and twenty-four consecutive symptomatic patients with intermediate to high-risk pretest likelihood for CAD or previous history of revascularization referred to our hospital for clinically indicated CCTA â€‹+ â€‹Stress-CTP or Stress-CMR were enrolled. Stress-CTP scans were performed in 223 patients while 401 patients performed Stress-CMR. Patient follow-up was performed at 1 year after index test performance. Endpoints were all cardiac events, as a combined endpoint of revascularization, non-fatal MI and death, and hard cardiac events, as combined endpoint of non-fatal MI and death. RESULTS: Twenty-nine percent of patients who underwent CCTA â€‹+ â€‹Stress-CTP received revascularization, 7% of subjects assessed with Stress-CMR were treated invasively, and a low number of non-fatal MI and death was observed with both strategies (hard events in 0.4% of patients that had CCTA â€‹+ â€‹Stress-CTP as index test, and in 3% of patients evaluated with Stress-CMR). According to the predefined endpoints, CCTA â€‹+ â€‹Stress-CTP group showed high rate of all cardiac events and low rate of hard cardiac events, respectively. The cumulative costs were 1970 â€‹± â€‹2506 Euro and 733 â€‹± â€‹1418 Euro for the CCTA â€‹+ â€‹Stress-CTP group and Stress-CMR group, respectively. CONCLUSIONS: The use of CCTA â€‹+ â€‹Stress-CTP strategy was associated with high referral to revascularization but with a favourable trend in terms of hard cardiac events and diagnostic yield in identifying individuals at lower risk of adverse events despite the presence of CAD.

Pericoronary adipose tissue for predicting long-term outcome.

AIMS: The pericoronary adipose tissue (PCAT) attenuation obtained by coronary computed tomography angiography (CCTA) has been associated with coronary inflammation and outcomes. Whether PCAT attenuation is predictive of major adverse cardiac events (MACE) during long-term follow-up is unknown. METHODS AND RESULTS: Symptomatic patients with coronary artery disease (CAD) who underwent CCTA were included, and clinical outcomes were evaluated. PCAT was measured at all lesions for all three major coronary arteries using semi-automated software. Comparison between patients with versus without MACE were performed both on per lesion and per patient basis. The predictive value of PCAT attenuation for MACE was assessed in Cox regression models. In 483 patients (63.3±8.5 years, 54.9% men), 1561 lesions were analyzed over a median follow-up duration of 9.5 years. The mean PCAT attenuation was not significantly different between patients with versus without MACE. At a patient level, the adjusted hazard ratio (HR) and 95% confidence interval (CI) for MACE was 0.970 (CI:0.933-1.008, p=0.121) when analyzing the average of all lesions per patient, 0.992 (CI:0.961-1.024, p=0.622) when only the most obstructive lesion was evaluated, and 0.981 (CI: 0.946-1.016, p=0.285) when only the lesion with the highest PCAT attenuation per individual was evaluated. Adjusted HRs for vessel specific PCAT attenuation in the right coronary artery, left anterior descending artery, and left circumflex artery were 0.957 (CI:0.830-1.104, p=0.548), 0.989 (CI:0.954-1.025, p=0.550) and 0.739 (CI:0.293-1.865, p=0.522), respectively, in predicting long-term MACE. CONCLUSION: In patients referred to CCTA for clinically suspected CAD, PCAT attenuation did not predict MACE during long-term follow-up.

Successful chemical ablation for intraventricular septal ventricular tachycardia-An alternative approach to the septal branch.

Trans-coronary ethanol ablation for ventricular tachycardia originating from the ventricular septum is effective, but there are cases with no septal perforator from left anterior descending artery. CT and angiography can reveal the optimal vessel.

Changes in donor vessel physiology following coronary computed tomography angiography guided chronic total occlusion percutaneous coronary intervention: insights from computed tomography fractional flow reserve and artificial intelligence-guided ischemia model.

Donor vessel fractional flow reserve (FFR) usually increases following successful chronic total occlusion (CTO) percutaneous coronary intervention, as documented by pressure wires. In this case, donor vessel physiology changes were assessed using FFR derived from coronary computed tomography angiography (CCTA) and an artificial Intelligence-guided quantitative CCTA ischemia model in combination with pressure wire-based FFR.

Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement.

Coronary artery segmentation is crucial for physicians to identify and locate plaques and stenosis using coronary computed tomography angiography (CCTA). However, the low contrast of CCTA images and the intricate structures of coronary arteries make this task challenging. To address these difficulties, we propose a novel model, the DFS-PDS network. This network comprises two subnetworks: a discriminative frequency segment subnetwork (DFS) and a position domain scales subnetwork (PDS). DFS introduced a gated mechanism within the feed-forward network, leveraging the Joint Photographic Experts Group (JPEG) compression algorithm, to discriminatively determine which low- and high-frequency information of the features should be preserved for latent image segmentation. The PDS aims to learn the shape prototype by predicting the radius. Additionally, our model has the consistent ability to guarantee region and boundary features through boundary consistency loss. During training, both subnetworks are optimized jointly, and in the testing stage, the coarse segmentation and radius prediction are produced. A coronary-geometric refinement method refines the segmentation masks by leveraging the shape prior to being reconstructed from the radius map, reducing the difficulty of segmenting coronary artery structures from complex surrounding structures. The DFS-PDS network is compared with state-of-the-art (SOTA) methods on two coronary artery datasets to evaluate its performance. The experimental results demonstrate that the DFS-PDS network performs better than the SOTA models, including Vnet, nnUnet, DDT, CS2-Net, Unetr, and CAS-Net, in terms of Dice or connectivity evaluation metrics.

The predictive value of coronary computed tomography angiography-derived fractional flow reserve for perioperative cardiac events in lung cancer surgery.

PURPOSE: As a non-invasive coronary functional examination, coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) showed predictive value in several non-cardiac surgeries. This study aimed to evaluate the predictive value of CT-FFR in lung cancer surgery. METHOD: We retrospectively collected 227 patients from January 2017 to June 2022 and used machine learning-based CT-FFR to evaluate the stable coronary artery disease (CAD) patients undergoing lung cancer surgery. The major adverse cardiac event (MACE) was defined as perioperative myocardial injury (PMI), myocardial infarction, heart failure, atrial and ventricular arrhythmia with hemodynamic disorder, cardiogenic shock and cardiac death. The multivariate logistic regression analysis was performed to identify risk factors for MACE and PMI. The discriminative capacity, goodness-of-fit, and reclassification improvement of prediction model were determined before and after the addition of CT-FFR≤0.8. RESULTS: The incidence of MACE was 20.7 % and PMI was 15.9 %. CT-FFR significantly outperformed CCTA in terms of accuracy for predicting MACE (0.737 vs 0.524). In the multivariate regression analysis, CT-FFR≤0.8 was an independent risk factor for both MACE [OR=10.77 (4.637, 25.016), P<0.001] and PMI [OR=8.255 (3.372, 20.207), P<0.001]. Additionally, we found that the performance of prediction model for both MACE and PMI improved after the addition of CT-FFR. CONCLUSIONS: CT-FFR can be used to assess the risk of perioperative MACE and PMI in patients with stable CAD undergoing lung cancer surgery. It adds prognostic information in the cardiac evaluation of patients undergoing lung cancer surgery.

Evaluating coronary arteries and predicting MACEs using CCTA in lung cancer patients receiving chemotherapy or chemoradiotherapy.

BACKGROUND: Whether coronary computed-tomography angiography (CCTA) can detect cancer treatment-related impairments of coronary artery and predict major adverse cardiovascular events (MACEs) in lung cancer patients receiving chemotherapy (CHT) or chemoradiotherapy (CRT) is unclear. OBJECTIVES: This study aimed to evaluate coronary arteries using CCTA parameters and explore the association of these parameters with MACEs in patients with lung cancer receiving CHT or CRT. MATERIALS AND METHODS: This study retrospectively collected data from 697 lung cancer patients who received CHT or CRT and underwent CCTA examination within 2 weeks before or after treatment from June 2013 to May 2019. The patients were divided into CHT and CRT group, and for the control group, the propensity score matching (PSM) was used and 125 participants without carcinoma with a single CCTA examination were included. CCTA parameters, assessed using artificial intelligence software, were compared across different groups (control vs. CHT & CRT; CHT vs. CRT). We analyzed associations between CCTA parameters and MACEs using a Cox-regression model and Kaplan-Meier curves to compare MACE-free survival rates. RESULTS: Before CHT or CRT, compared with the control group, in CHT&CRT group we observed higher fat attenuation index (FAI), coronary-artery calcium (CAC) score, CAD-RADS classification, stenosis severity and lower computed-tomography fractional flow reserve (CT-FFR; all P<0.05). After treatment, the CT-FFR decreased and the FAI increased; simultaneously, we observed a lower CT-FFR and higher FAI (all P<0.05) in the CRT than in the CHT group. Among the 146 cases developed MACEs, lower CT-FFR and higher FAI values were found compared with the non-MACE group (all P<0.05), and CT-FFR and FAI before treatment were associated with MACEs. CONCLUSION: Cancer treatment-related impairments of coronary arteries could be identified using CT-FFR and FAI. Before treatment, these parameters were associated with MACEs in lung cancer patients receiving CHT or CRT.

Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention.

Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.

Low-density lipoprotein-cholesterol and subclinical coronary atherosclerosis in a middle-aged asymptomatic U.S. population: The Miami Heart Study at Baptist Health South Florida.

BACKGROUND AND AIMS: We aimed to investigate the interplay between low-density lipoprotein-cholesterol (LDL-C) and coronary plaque in asymptomatic cohorts undergoing coronary tomography angiography (CCTA) assessment in the United States. METHODS: A cross-sectional analysis of baseline data from 1808 statin-naïve participants in the Miami Heart Study was conducted. We assessed CCTA-detected atherosclerosis (any plaque, noncalcified plaque, maximal stenosis ≥50%, high-risk plaque) across LDL-C levels, coronary artery calcium (CAC) scores (0, 1-99, ≥100), and 10-year cardiovascular risk categories. RESULTS: Atherosclerosis presence varied across LDL-C levels: 40% of those with LDL-C ≥190 mg/dL had no coronary plaque, while 33% with LDL-C <70 mg/dL had plaque (22.4% with noncalcified plaque). Among those with CAC 0, plaque prevalence ranged from 13.2% (LDL-C <70 mg/dL) to 28.2% (LDL-C ≥190 mg/dL), noncalcified plaque from 13.2% to 25.6%, stenosis ≥50% from 0 to 2.6%, and high-risk plaque from 0 to 5.1%. Conversely, with CAC ≥100, all had coronary plaque, with noncalcified plaque prevalence ranging from 25.0% (LDL-C <70 mg/dL) to 83.3% (LDL-C ≥190 mg/dL), stenosis ≥50% from 25.0% to 50.0%, and high-risk plaque from 0 to 66.7%. Among low-risk participants, 76.7% had CAC 0, yet 31.5% had any plaque and 18.3% had noncalcified plaque. Positive trends between LDL-C and any plaque (17.9%-45.2%) or noncalcified plaque (12.8%-23.8%) were observed in the low-risk group, but no clear trends were seen in higher-risk groups. CONCLUSIONS: Heterogeneity exists in subclinical atherosclerosis across LDL-C, CAC, and estimated cardiovascular risk levels. The value of CCTA in risk-stratifying asymptomatic adults should be further explored.

Predictors of discordance between CT-derived fractional flow reserve (CT-FFR) and △CT-FFR in deep coronary myocardial bridging.

OBJECTIVE: To compare the performance between CT-derived fractional flow reserve (CT-FFR) and ΔCT-FFR measurements in patients with deep myocardial bridging (MB) along the left anterior descending artery, and explore the potential predictors of discordance. METHODS: 175 patients with deep MB who underwent coronary computed tomography angiography (CCTA) and CT-FFR assessment were included. Clinical, anatomical and atherosclerotic variables were compared between patients with concordant and discordant CT-FFR and ΔCT-FFR. RESULTS: 30.9 % patients were discordantly classified, in which 94.4 % patients were classified as CT-FFR+/△CT-FFR-. The discordant group showed significantly higher upstream stenosis degree, distance from MB to the aorta, △CT-FFR (P 0.007, 0.009 and 0.002, respectively), and lower CT-FFR (P < 0.001). In multivariate analysis, upstream stenosis degree (P 0.023, OR 1.628, 95 % CI: 1.068-2.481) and distance from MB to the aorta (P 0.001, OR 1.04, 95 % CI: 1.016-1.064) were independent predictors for discordance between CT-FFR and ΔCT-FFR. CONCLUSION: The discordance between CT-FFR and ΔCT-FFR measurements underscores the challenges in clinical decision-making, necessitating tailored approaches for MB evaluation.

Computed Tomography Angiography as a Method for Diagnosing Intracavitary Coronary Arteries.

The intracavitary coronary arteries (ICCA) course is a rare phenomenon, where the segments of the coronary artery go through the atria or ventricles of the heart. In the past, these changes were incidentally detected during invasive diagnostic procedures for other reasons, as well as during postmortem examinations. As the use of multidetector computed tomography angiography (CTA) becomes more widespread, it has emerged that the incidence of ICCA has been underestimated. We present images from two coronary computed tomography angiography cases, which document the existence of ICCA in patients with non-specific chest pain. In the first case, in a 66-year-old woman, in addition to confirming coronary artery disease without significant stenosis (CAD-RADS 2-category 2 in the coronary-artery-disease-reporting and data system), the course of the middle section of the right coronary artery (RCA) in the lumen of the right atrium was demonstrated. In the second case, in a 47-year-old man in whom the presence of atherosclerotic lesions in the coronary arteries was excluded (CAD-RADS 0), the course of the distal segment of the left anterior descending (LAD) was found in the lumen of the apical layers of the right ventricle. To sum up, it should be stated that coronary CTA is a non-invasive diagnostic method that allows for visualization of the ICCA. In coronary CTA performed for indications consistent with the guidelines of scientific societies, attention should also be paid to the possible intracavitary course of the coronary arteries. The identification of such a course of the coronary arteries may be useful when preparing the patient for potential future invasive procedures involving the cardiac cavities.

Perivascular Fat: A Novel Risk Factor for Coronary Artery Disease.

Perivascular adipose tissue (PVAT) interacts with the vascular wall and secretes bioactive factors which regulate vascular wall physiology. Vice versa, vascular wall inflammation affects the adjacent PVAT via paracrine signals, which induce cachexia-type morphological changes in perivascular fat. These changes can be quantified in pericoronary adipose tissue (PCAT), as an increase in PCAT attenuation in coronary computed tomography angiography images. Fat attenuation index (FAI), a novel imaging biomarker, measures PCAT attenuation around coronary artery segments and is associated with coronary artery disease presence, progression, and plaque instability. Beyond its diagnostic capacity, PCAT attenuation can also ameliorate cardiac risk stratification, thus representing an innovative prognostic biomarker of cardiovascular disease (CVD). However, technical, biological, and anatomical factors are weakly related to PCAT attenuation and cause variation in its measurement. Thus, to integrate FAI, a research tool, into clinical practice, a medical device has been designed to provide FAI values standardized for these factors. In this review, we discuss the interplay of PVAT with the vascular wall, the diagnostic and prognostic value of PCAT attenuation, and its integration as a CVD risk marker in clinical practice.

Clinical Updates in Coronary Artery Disease: A Comprehensive Review.

Despite significant goals achieved in diagnosis and treatment in recent decades, coronary artery disease (CAD) remains a high mortality entity and continues to pose substantial challenges to healthcare systems globally. After the latest guidelines, novel data have emerged and have not been yet considered for routine practice. The scope of this review is to go beyond the guidelines, providing insights into the most recent clinical updates in CAD, focusing on non-invasive diagnostic techniques, risk stratification, medical management and interventional therapies in the acute and stable scenarios. Highlighting and synthesizing the latest developments in these areas, this review aims to contribute to the understanding and management of CAD helping healthcare providers worldwide.

Noninvasive Coronary Physiological Assessment Derived From Computed Tomography.

Identifying functional significance using physiological indexes is a standard approach in decision-making for treatment strategies in patients with coronary artery disease. Recently, coronary computed tomography angiography-based physiological assessments, such as computed tomography perfusion and fractional flow reserve derived from coronary computed tomography angiography (FFR-CT), have emerged. These methods have provided incremental diagnostic values for ischemia-causing lesions over anatomical stenosis defined solely by coronary computed tomography angiography. Clinical data have demonstrated their prognostic value in the prediction of adverse cardiovascular events. Several randomized controlled studies have shown that clinical use of FFR-CT can reduce unnecessary invasive procedures compared to usual care. Recent studies have also expanded the role of FFR-CT in defining target lesions for revascularization by acquiring noninvasive lesion-specific hemodynamic indexes like ΔFFR-CT. This review encompasses the current evidence of the diagnostic and prognostic performance of computed tomography-based physiological assessment in defining ischemia-causing lesions and adverse cardiac events, its clinical impact on treatment decision-making, and implications for revascularization.