Higher epicardial adipose tissue volume is associated with higher coronary fatty plaque volume and is regulated by waist circumference but not EPA+DHA supplementation.

BACKGROUND: Eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) supplementation lower triglyceride levels. The impact on epicardial adipose tissue volume (EATV), which is associated with cardiovascular events, is unclear. OBJECTIVE: To determine if triglyceride reduction with EPA+DHA supplementation decreases EATV and whether EATV affects coronary plaque. METHODS: 139 subjects with coronary artery disease on statins were randomized to 3.36 g EPA+DHA daily or none (control) for 30 months. EATV, coronary plaque volumes and coronary artery calcium score were measured with coronary computed tomographic angiography. RESULTS: Change in triglyceride level correlated with change in EATV (r=0.236; p=0.006). Despite a 6.7% triglyceride reduction (p=0.021) with EPA+DHA supplementation compared to no change in control (between group p=0.034); both groups had similar reductions in EATV possibly due to statin treatment. EATV above the median (>115.6 cm3) was the only determinant of baseline coronary fatty plaque volume (ß=2.4, p=0.010). After multivariate adjustment, waist circumference, a surrogate of abdominal visceral adiposity, was the only determinant of baseline EATV (OR:1.093; 95% CI:1.003-1.192, p=0.042). Moreover, increase in waist circumference was the only predictor of an increase in EATV at 30 months (ß=0.320, p=0.018). CONCLUSIONS: EATV is associated with higher coronary fatty plaque volume and is regulated by waist circumference but not EPA+DHA supplementation at 30-month follow-up in CAD patients on statin treatment. The direct correlation between waist circumference and EATV suggests that maintaining a healthy weight may limit EATV and coronary fatty plaque volume, potentially leading to a decrease in cardiovascular events. Two sentence summary Subjects with clinical CAD on statin treatment randomized to EPA+DHA had similar reductions in epicardial adipose tissue volume (EATV) compared to control, despite a significant reduction in triglyceride level in the EPA+DHA group. Higher EATV was linked to greater fatty, rupture-prone plaques, boosting the risk of MI, and change in waist circumference was the only predictor of an increase in EATV at 30-month follow-up.

Discrepancies between Coronary Artery Calcium Score and Coronary Artery Disease Severity in Computed Tomography Angiography Studies.

The aim of this paper is to demonstrate the difference in usefulness of the coronary artery calcium score (CACS) and the full assessment of the severity of coronary artery disease in coronary computed tomography angiography (CCTA) studies. The difference between the population risk of coronary artery disease (CAD) assessed by the CACS and the severity of CAD was demonstrated in images from two CCTA studies. The first image is from a patient with a CACS of 0 and significant coronary artery stenosis. In the native phase of CCTA examination, no calcified changes were detected in the topography of the coronary arteries. In the middle section of the left descending artery (LAD), at the level of the second diagonal branch (Dg2), a large non-calcified atherosclerotic plaque was visible. Mid-LAD stenosis was estimated to be approximately 70%. The second image features a patient with a high CACS but no significant coronary artery stenosis. The calcium score of individual coronary arteries calculated using the Agatston method was as follows: left main (LM) 0, LAD 403, left circumflex (LCx) 207.7, right coronary artery (RCA) 12. CACS was 622.7, representing a significant population risk of significant CAD. In the proximal and middle sections of the LAD, numerous calcified and mixed atherosclerotic plaques with positive remodeling were visible, causing stenosis of 25-50%. Similarly, in the proximal and middle sections of the LCx, numerous calcified and mixed atherosclerotic plaques with positive remodeling were visualized, causing stenoses of 25-50%. Calcified atherosclerotic plaques were found in the RCA, causing stenosis <25%. The entire CCTA image met CAD-RADS 2 (coronary artery disease reporting and data system) criteria. In summary, CACS may be applicable in population-based studies to assess the risk of significant CAD. In the evaluation of individual patients, a comprehensive assessment of CAD severity based on the angiographic phase of the CCTA examination should be used.

Coronary artery calcium score and other risk factors in patients at moderate and high risk of cancer therapy-related cardiovascular toxicity.

BACKGROUND: The presence and burden of coronary artery calcium (CAC) is a strong predictor of cardiovascular events. Current guidelines of the European Society of Cardiology (ESC) for cardio-oncology do not recommend the use of the CAC score to determine the status of risk in cancer patients. The aim of this study is to evaluate the presence and burden of CAC on cardiac tomography and the distribution of the cardiovascular toxicity risk factors in patients with moderate and high baseline risk of cancer therapy-related cardiovascular toxicity. METHODS: The study prospectively included cancer patients, diagnosed and qualified for systemic treatment with anthracycline chemotherapy. Clinical data and blood samples were collected from all patients. Additionally, the echocardiography and coronary computed tomography (CCTA) with the calculation of the coronary artery calcium (CAC) score were performed. RESULTS: A total of 80 patients (mean age 60.5 years, 75 female) were included in the study. The majority of patients (62, 77.5%) had breast cancer, 11 (13.8%) were diagnosed with sarcoma, and 7 (8.8%) with lymphoma. There were 42 (52.5%) patients classified as having moderate (MR) and 38 (47.5%) as having high risk (HR) of cancer therapy-related cardiovascular toxicity according to current ESC guidelines. In comparison with moderate risk, high risk patients were older and more likely to have hypertension, hyperlipidaemia and chronic kidney disease. The mean coronary artery calcium score was significantly higher in the HR group (150.4 vs. 24.8; p = 0.000). Furthermore, cardiac biomarkers were also higher in high-risk patients (p = 0.000). In echocardiographic parameters global longitudinal strain (GLS) was lower (p = 0.012), and diastolic dysfunction was more common in the HR group. However, the left ventricle ejection fraction (LVEF) was similar in the MR and HR groups. CONCLUSIONS: In patients at high and moderate risk for cancer therapy-related cardiovascular toxicity, cardiovascular toxicity risk factors were common and more prevalent in the high-risk group. The coronary artery calcium score was also significantly higher in the high-risk group. Assessing the presence and burden of coronary artery calcium is an attractive option to assess additional cardiovascular risk in cancer patients.

Assessing Cardiovascular Risk with Coronary Artery Calcium and Carotid Intima-Media Thickness in Patients with Negative Stress Echocardiography.

Background: The role of treadmill stress echocardiography (TSE) in symptomatic patients may be limited. We evaluated whether carotid intima-media thickness (cIMT) and coronary artery calcium (CAC) scores can predict cardiovascular (CV) outcomes in patients with negative TSE. Methods: Patients who had negative TSE and measured cIMT or CAC scoring were enrolled and followed up. The primary CV outcome was defined as a composite of acute coronary syndrome, coronary revascularization, heart failure, stroke, and CV death. Results: Overall, 1095 patients participated. The median follow-up duration was 5.8 years. Patients with increased cIMT and CAC scores experienced a high incidence of primary CV outcomes (normal vs. increased group on cIMT and CAC scoring: 4.4% vs. 20.0% and 0.4% vs. 25.0%, respectively, p < 0.001). In the Cox proportional hazard model, increased cIMT and CAC scores were associated with increased primary CV outcomes (adjusted hazard ratio [95% confidence interval], p-value for increased cIMT and increased CAC scores = 2.939 [1.241-6.960], p = 0.014 and 45.192 [5.497-371.505], p < 0.001, respectively). Conclusions: Patients with increased cIMT and CAC scores have poor CV outcomes even though they have negative TSE results, and therefore, they should be carefully monitored.

Left Atrial Volume versus Coronary Artery Calcium Score in Patients on Peritoneal Dialysis: An Observational Study.

Background: The coronary artery calcium score and left atrial volume have been shown to predict the incidence of acute myocardial infarction and death from cardiovascular disease in patients undergoing peritoneal dialysis. However, the association between these factors has not been well-established. Methods: This cross-sectional, prospective, single-center study was conducted on patients undergoing outpatient peritoneal dialysis, who were followed up at a university hospital between March 2018 and August 2019. The coronary artery calcium score was calculated based on cardiovascular computed tomography findings. The score was "positive" when it was ≥100 Agatston and "negative" when it was <100 Agatston. The left atrial volume was obtained using the biplane disc method at the end of the left ventricular systole, and then it was indexed to the body surface. Results: Forty-four patients were evaluated. They had an age [mean (range)] of 56 (43-65) years and had been on dialysis therapy for 11.7 (6.8-25.4) months. Univariate analysis revealed a relationship between the coronary artery calcium score and left atrial volume index and the following variables: age, diabetes, overhydration, pulse wave velocity, E/A ratio, and left ventricular mass index. In multivariate logistic regression analysis, only the left atrial volume index was independently associated with a positive coronary artery calcium score. Conclusions: The left atrial volume index was associated with a positive coronary artery calcium score in patients on peritoneal dialysis, regardless of other factors. It may be a useful risk marker for coronary artery disease in this population.

Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction.

OBJECTIVE: To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current. METHODS: In this prospective study, seventy-five patients (group A) undergoing routine dose CSCT (120kVp/30mAs) were followed by a low dose (120kVp/20mAs) scan and another 81 (group B) were followed by an ultralow dose (80kVp/20mAs) scan. The hybrid iterative reconstruction was used for the routine dose data while the DLR for data of reduced dose. The calcium score and risk categorization were compared, where the correlation was evaluated using the intraclass correlation coefficient (ICC). The noise suppression performance of DLR was characterized by the contrast-to-noise ratio (CNR) between coronary arteries and pericoronary fat. RESULTS: The effective dose was 0.32 ± 0.03 vs. 0.48 ± 0.05 mSv for the two scans in group A and 0.09 ± 0.01 vs. 0.49 ± 0.05 mSv in group B. No significant difference was found on CACSs within either group (A: p = 0.10, ICC=0.99; B: p = 0.14, ICC=0.99), nor was it different on risk categorization (A: p = 0.32, ICC=0.99; B: p = 0.16, ICC=0.99). The DLR images exhibited higher CNR in both groups (A: p < 0.001; B: p = 0.001). CONCLUSIONS: The DLR allowed reliable calcium scoring in not only low dose CSCT with reduced tube current but ultralow dose CSCT with simultaneously reduced tube voltage and current, showing feasibility to be adopted in routine applications.

Coronary Artery Calcium Density and Risk of Cardiovascular Events: A Systematic Review and Meta-Analysis.

BACKGROUND: There is increasing evidence that coronary artery calcium (CAC) density is inversely associated with plaque vulnerability and atherosclerotic cardiovascular disease risk. OBJECTIVES: A systematic review and meta-analysis were performed to examine the predictive value of CAC density for future cardiovascular events in asymptomatic individuals undergoing noncontrast CAC scoring computed tomography. METHODS: Electronic databases were searched for studies reporting CAC density and subsequent cardiovascular disease (CVD) or coronary heart disease (CHD) events. Two independent reviewers performed data extraction. Random-effects models were used to estimate pooled HRs and 95% CIs. Subgroup analyses were performed with studies stratified by CVD vs CHD events and by statin use. RESULTS: Of 5,029 citations, 5 studies with 6 cohorts met inclusion criteria. In total, 1,309 (6.1%) cardiovascular events occurred in 21,346 participants with median follow-up ranging from 5.2 to 16.7 years. Higher CAC density was inversely associated with risk of cardiovascular events following adjustment for clinical risk factors and CAC volume (HR: 0.80 per SD of density [95% CI: 0.72-0.89]; P < 0.01; I2 = 0%). There was no significant difference in the pooled HRs for CVD vs CHD events (HR: 0.80 per SD [95% CI: 0.71-0.90] vs 0.74 per SD [95% CI: 0.59-0.94] respectively; P = 0.59). The protective association between CAC density and event risk persisted among statin-naive patients (HR: 0.79 per SD [95% CI: 0.70-0.89]; P < 0.01) but not statin-treated patients (HR: 0.97 per SD [95% CI: 0.77-1.22]; P = 0.78); the test for interaction indicated no significant between-group differences (P = 0.12). CONCLUSIONS: Higher CAC density is associated with a lower risk of cardiovascular events when adjusted for risk factors and CAC volume. Future work may expand the contribution of CAC density in CAC scoring, and enhance its role in CVD risk assessment, treatment, and prevention.

Integrating cardiovascular risk assessment into mobile low-dose CT lung screenings in rural Appalachia: A comprehensive analysis of the relationship between lung cancer risk, coronary artery calcium burden, and cardiovascular risk reduction strategies.

Objective: Mobile low-dose computed tomography (LDCT) lung screenings are part of an outreach program in rural Appalachia to detect early lung cancer. Coronary artery calcium (CAC) scoring on LDCT can identify calcium deposits in coronary arteries and can prompt consideration of risk modification for prevention of cardiovascular disease (CVD) events. It is not known if Lung CT Screening Reporting & Data System (Lung-RADS) scoring correlates with CAC scores. There is no clear guidance for patients undergoing LDCT screenings to receive follow-up regarding CAC or prevention of associated CVD risk. Methods: This was a retrospective review of mobile LDCT LCS in adults with no known history of CVD. CT images were obtained at 100 kVp with a slice thickness of 3 mm. Agatston CAC scoring was performed retroactively. Lung-RADS scores were categorized as: Negative (1), Benign (2), Probably Benign (3), and Suspicious (4). CAC scoring was grouped as 0, 1-100, 101-399, and ≥400. Descriptive statistics and chi-square analyses were utilized. Results: A total of 526 LDCT screenings were included. Over 54 % of patients had coronary calcification on LDCT LCS. 161 patients (30.6 %) had a CAC score of ≥100 and 75 patients (14.3 %) had a CAC score ≥400. Of patients with a CAC score ≥100, 7.5 % received referrals for follow-up after the LDCT screen and 9.3 % had additional cardiac testing. Of those with a CAC score ≥100 not already on a statin (45.3 %) and not already on aspirin (63.3 %), few were started within 3 months of LDCT for prevention (8.2 % and 5.9 % respectively). Among patients with a Lung-RADS score of 4, 17 % had a CAC score >400, whereas only 12 % with a Lung-RADS score of 1 fell into the same CAC category. Higher Lung-RADS scores correlated with fewer patients with CAC of 0. A significant correlation was observed between higher Lung-RADS scores and elevated CAC scores (p = 0.02). Conclusion: In patients with no CVD history, coronary artery calcification was frequently identified on mobile LDCT lung screenings in rural communities. Patients with higher probabilities of malignant lung nodules may also be at increased risk for significant coronary artery disease. Calcium scoring from LDCT screenings allowed for simultaneous assessment of lung cancer and CVD risk. Unfortunately, few referrals or CVD prevention medications were initiated. Awareness of CAC score utility, follow-up for identified coronary calcifications, and consideration of primary prevention medications when indicated, would be beneficial in patients undergoing LDCT lung screenings, especially in rural areas with limited healthcare access.

Prediction of acute coronary syndrome in patients with myeloproliferative neoplasms.

Background: Patients with myeloproliferative neoplasms (MPN) are exposed to a higher risk of cardiovascular disease, especially cardiovascular calcification. The present research aimed to analyze the clinical features and coronary artery calcium score (CACS) in MPN patients, and construct an effective model to predict acute coronary syndrome (ACS) in MPN patients. Materials and methods: A total of 175 MPN patients and 175 controls were recruited from the First Affiliated Hospital of Ningbo University. Based on cardiovascular events, the MPN patients were divided into the ACS group and the non-ACS group. Multivariate Cox analysis was completed to explore ACS-related factors. Furthermore, ROC curves were plotted to assess the predictive effect of CACS combined with white blood cells (WBC) and platelet for ACS in MPN patients. Results: The MPN group exhibited a higher CACS than the control group (133 vs. 55, P < 0.001). A total of 16 patients developed ACS in 175 MPN patients. Compared with non-ACS groups, significant differences in age, diabetes, smoking history, WBC, percentage of neutrophil, percentage of lymphocyte, neutrophil count, hemoglobin, hematocrit, platelet, lactate dehydrogenase, ß 2-microglobulin, and JAK2V617F mutation were observed in the ACS groups. In addition, the CACS in the ACS group was also significantly higher than that in the non-ACS group (374.5 vs. 121, P < 0.001). The multivariable Cox regression analysis identified WBC, platelet, and CACS as independent risk factors for ACS in MPN patients. Finally, ROC curves indicated that WBC, platelet, and CACS have a high predictive value for ACS in MPN patients (AUC = 0.890). Conclusion: CACS combined with WBC and platelet might be a promising model for predicting ACS occurrence in MPN patients.

Epicardial fat modifies the relationship between coronary calcium score and all-cause mortality: The St. Francis Heart Study.

Objective: Epicardial fat is associated with cardiovascular risk factors and adverse outcomes. However, it is not clear if epicardial fat remains to be a mortality risk when coronary calcium score (CAC) is taken into account. Methods: We studied the 1005 participants from the St. Francis Heart Study who were apparently healthy with CAC scores at 80th percentile or higher for age and gender, randomly assigned to placebo or statin therapy. At baseline, lipid profiles and non-contrast CT images were obtained where the epicardial fat volume was analyzed. Likelihood ratio testing was used to assess the additional prognostic value of epicardial fat to CAC for the risk of all-cause mortality. Results: Increased epicardial fat volume was associated with higher CAC. For each unit increase in lnCAC, the average epicardial fat volume increased by 3.34 mL/m2. After a mean follow-up period of 17 years, 179 (18%) participants died. Increased epicardial fat volume was associated with an adjusted hazard ratio of 1.11 (95% CI: 1.02 to 1.20) predicting all-cause mortality. In the stratified analysis testing strata of epicardial fat and CAC, those with increased epicardial fat and increased CAC had the highest risk of death. Compared with a model containing lnCAC and traditional risk factors, a model additionally containing epicardial fat volume yielded a better model fit (likelihood ratio test p < 0.001). Conclusion: Increased epicardial fat volume is associated with increased all-cause mortality risk. In addition, it portends incremental prognostic value to CAC score in mortality prediction.

Lipidomic Risk Score to Enhance Cardiovascular Risk Stratification for Primary Prevention.

BACKGROUND: Accurate risk stratification is vital for primary prevention of cardiovascular disease (CVD). However, traditional tools such as the Framingham Risk Score (FRS) may underperform within the diverse intermediate-risk group, which includes individuals requiring distinct management strategies. OBJECTIVES: This study aimed to develop a lipidomic-enhanced risk score (LRS), specifically targeting risk prediction and reclassification within the intermediate group, benchmarked against the FRS. METHODS: The LRS was developed via a machine learning workflow using ridge regression on the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab; n = 10,339). It was externally validated with the Busselton Health Study (n = 4,492), and its predictive utility for coronary artery calcium scoring (CACS)-based outcomes was independently validated in the BioHEART cohort (n = 994). RESULTS: LRS significantly improved discrimination metrics for the intermediate-risk group in both AusDiab and Busselton Health Study cohorts (all P < 0.001), increasing the area under the curve for CVD events by 0.114 (95% CI: 0.1123-0.1157) and 0.077 (95% CI: 0.0755-0.0785), with a net reclassification improvement of 0.36 (95% CI: 0.21-0.51) and 0.33 (95% CI: 0.15-0.49), respectively. For CACS-based outcomes in BioHEART, LRS achieved a significant area under the curve improvement of 0.02 over the FRS (0.76 vs 0.74; P < 1.0 × 10-5). A simplified, clinically applicable version of LRS was also created that had comparable performance to the original LRS. CONCLUSIONS: LRS, augmenting the FRS, presents potential to improve intermediate-risk stratification and to predict atherosclerotic markers using a simple blood test, suitable for clinical application. This could facilitate the triage of individuals for noninvasive imaging such as CACS, fostering precision medicine in CVD prevention and management.

Low HDL-C/ApoA-I index is associated with cardiometabolic risk factors and coronary artery calcium: a sub-analysis of the genetics of atherosclerotic disease (GEA) study.

BACKGROUND: The high-density lipoprotein cholesterol to apolipoprotein A-I index (HDL-C/ApoA-I) may be practical and useful in clinical practice as a marker of atherosclerosis. This study aimed to investigate the association between the HDL-C/ApoA-I index with cardiometabolic risk factors and subclinical atherosclerosis. METHODS: In this cross-sectional sub-analysis of the GEA study, 1,363 individuals, women (51.3%) and men (48.7%) between 20 and 75 years old, without coronary heart disease or diabetes mellitus were included. We defined an adverse cardiometabolic profile as excess adipose tissue metrics, non-alcoholic liver fat measured by non-contrasted tomography, metabolic syndrome, dyslipidemias, and insulin resistance. The population was stratified by quartiles of the HDL-C/Apo-AI index, and its dose-relationship associations were analysed using Tobit regression, binomial, and multinomial logistic regression analysis. RESULTS: Body mass index, visceral and pericardial fat, metabolic syndrome, fatty liver, high blood pressure, and CAC were inversely associated with the HDL-C/ApoA-I index. The CAC > 0 prevalence was higher in quartile 1 (29.2%) than in the last quartile (22%) of HDL-C/ApoA-I index (p = 0.035). The probability of having CAC > 0 was higher when the HDL-C/ApoA-I index was less than 0.28 (p < 0.001). This association was independent of classical coronary risk factors, visceral and pericardial fat measurements. CONCLUSION: The HDL-C/ApoA-I index is inversely associated with an adverse cardiometabolic profile and CAC score, making it a potentially useful and practical biomarker of coronary atherosclerosis. Overall, these findings suggest that the HDL-C/ApoA-I index could be useful for evaluating the probability of having higher cardiometabolic risk factors and subclinical atherosclerosis in adults without CAD.

Self-Report Tool for Identification of Individuals With Coronary Atherosclerosis: The Swedish CardioPulmonary BioImage Study.

BACKGROUND: Coronary atherosclerosis detected by imaging is a marker of elevated cardiovascular risk. However, imaging involves large resources and exposure to radiation. The aim was, therefore, to test whether nonimaging data, specifically data that can be self-reported, could be used to identify individuals with moderate to severe coronary atherosclerosis. METHODS AND RESULTS: We used data from the population-based SCAPIS (Swedish CardioPulmonary BioImage Study) in individuals with coronary computed tomography angiography (n=25 182) and coronary artery calcification score (n=28 701), aged 50 to 64 years without previous ischemic heart disease. We developed a risk prediction tool using variables that could be assessed from home (self-report tool). For comparison, we also developed a tool using variables from laboratory tests, physical examinations, and self-report (clinical tool) and evaluated both models using receiver operating characteristic curve analysis, external validation, and benchmarked against factors in the pooled cohort equation. The self-report tool (n=14 variables) and the clinical tool (n=23 variables) showed high-to-excellent discriminative ability to identify a segment involvement score ≥4 (area under the curve 0.79 and 0.80, respectively) and significantly better than the pooled cohort equation (area under the curve 0.76, P<0.001). The tools showed a larger net benefit in clinical decision-making at relevant threshold probabilities. The self-report tool identified 65% of all individuals with a segment involvement score ≥4 in the top 30% of the highest-risk individuals. Tools developed for coronary artery calcification score ≥100 performed similarly. CONCLUSIONS: We have developed a self-report tool that effectively identifies individuals with moderate to severe coronary atherosclerosis. The self-report tool may serve as prescreening tool toward a cost-effective computed tomography-based screening program for high-risk individuals.

Coronary Artery Calcium Score-Weighted Clinical Likelihood Model Performance in Patients with Stable Chest Pain and Coronary Artery Calcium Scores of Zero.

Background: For individuals with persistent stable chest pain (SCP) and a coronary artery calcium score (CACS) of 0, it might be challenging to establish the best risk assessment method for determining the individuals who will not benefit from further cardiovascular imaging testing (CIT). Thus, we investigated the CACS-weighted clinical likelihood (CACS-CL) model in SCP patients with a CACS of 0. Methods: Thus, to assess SCP, we originally enrolled 14,232 individuals for CACS and coronary computed tomography angiography (CCTA) scans between January 2016 and January 2018. Finally, patients with a CACS of 0 were included and followed up ​until January 2022. According to the established CACS-CL cutoffs of 15% and 5%, the associations between coronary artery disease (CAD) and major adverse cardiovascular events (MACEs) in risk groups were evaluated, alongside the net reclassification improvement (NRI). Results: Of the 6689 patients with a CACS of 0, the prevalence of CAD increased significantly (p < 0.0001) in patients with higher CACS-CL. However, there was no significant difference in the CAD distribution (p = 0.0637) between patients with CACS-CL < 5% and 5-15%. The association between the CACS-CL = 15%-determined risk groups and the occurrence of MACEs was stronger than for a CACS-CL = 5% (adjusted hazard ratio (HR): 7.24 (95% CI: 1.93-16.42) versus 3.68 (95% CI: 1.50-8.26)). Compared with the cutoff for CACS-CL = 5%, the NRI was 10.61% when using a cutoff for CACS-CL = 15%. Conclusions: Among patients with an SCP and CACS of 0, the CACS-CL model provided accurate predictions of CAD and MACEs. Compared to the cutoff for CACS-CL = 5%, the cutoff for CACS-CL = 15% seemed to be more effective and safer for deferring further CIT. Clinical Trial registration: NCT04691037.

Evaluating the American Heart Association/American College of Cardiology Guideline-Recommended and Contemporary Pretest Probability Models in a Mixed Asian Cohort: The Contribution of Coronary Artery Calcium.

BACKGROUND: Most pretest probability (PTP) tools for obstructive coronary artery disease (CAD) were Western -developed. The most appropriate PTP models and the contribution of coronary artery calcium score (CACS) in Asian populations remain unknown. In a mixed Asian cohort, we compare 5 PTP models: local assessment of the heart (LAH), CAD Consortium (CAD2), risk factor-weighted clinical likelihood, the American Heart Association/American College of Cardiology and the European Society of Cardiology PTP and 3 extended versions of these models that incorporated CACS: LAH(CACS), CAD2(CACS), and the CACS-clinical likelihood. METHODS AND RESULTS: The study cohort included 771 patients referred for stable chest pain. Obstructive CAD prevalence was 27.5%. Calibration, area under the receiver-operating characteristic curves (AUC) and net reclassification index were evaluated. LAH clinical had the best calibration (χ2 5.8; P=0.12). For CACS models, LAH(CACS) showed least deviation between observed and expected cases (χ2 37.5; P<0.001). There was no difference in AUCs between the LAH clinical (AUC, 0.73 [95% CI, 0.69-0.77]), CAD2 clinical (AUC, 0.72 [95% CI, 0.68-0.76]), risk factor-weighted clinical likelihood (AUC, 0.73 [95% CI: 0.69-0.76) and European Society of Cardiology PTP (AUC, 0.71 [95% CI, 0.67-0.75]). CACS improved discrimination and reclassification of the LAH(CACS) (AUC, 0.88; net reclassification index, 0.46), CAD2(CACS) (AUC, 0.87; net reclassification index, 0.29) and CACS-CL (AUC, 0.87; net reclassification index, 0.25). CONCLUSIONS: In a mixed Asian cohort, Asian-derived LAH models had similar discriminatory performance but better calibration and risk categorization for clinically relevant PTP cutoffs. Incorporating CACS improved discrimination and reclassification. These results support the use of population-matched, CACS-inclusive PTP tools for the prediction of obstructive CAD.

Intraindividual Comparison of Dose Reduction and Coronary Calcium Scoring Accuracy Using Kilovolt-independent and Tin Filtration CT Protocols.

Purpose To investigate the ability of kilovolt-independent (hereafter, kV-independent) and tin filter spectral shaping to accurately quantify the coronary artery calcium score (CACS) and radiation dose reductions compared with the standard 120-kV CT protocol. Materials and Methods This prospective, blinded reader study included 201 participants (mean age, 60 years ± 9.8 [SD]; 119 female, 82 male) who underwent standard 120-kV CT and additional kV-independent and tin filter research CT scans from October 2020 to July 2021. Scans were reconstructed using a Qr36f kernel for standard scans and an Sa36f kernel for research scans simulating artificial 120-kV images. CACS, risk categorization, and radiation doses were compared by analyzing data with analysis of variance, Kruskal-Wallis test, Mann-Whitney test, Bland-Altman analysis, Pearson correlations, and κ analysis for agreement. Results There was no evidence of differences in CACS across standard 120-kV, kV-independent, and tin filter scans, with median CACS values of 1 (IQR, 0-48), 0.6 (IQR, 0-58), and 0 (IQR, 0-51), respectively (P = .85). Compared with standard 120-kV scans, kV-independent and tin filter scans showed excellent correlation in CACS values (r = 0.993 and r = 0.999, respectively), with high agreement in CACS risk categorization (κ = 0.95 and κ = 0.93, respectively). Standard 120-kV scans had a mean radiation dose of 2.09 mSv ± 0.84, while kV-independent and tin filter scans reduced it to 1.21 mSv ± 0.85 and 0.26 mSv ± 0.11, cutting doses by 42% and 87%, respectively (P < .001). Conclusion The kV-independent and tin filter research CT acquisition techniques showed excellent agreement and high accuracy in CACS estimation compared with standard 120-kV scans, with large reductions in radiation dose. Keywords: CT, Cardiac, Coronary Arteries, Radiation Safety, Coronary Artery Calcium Score, Radiation Dose Reduction, Low-Dose CT Scan, Tin Filter, kV-Independent Supplemental material is available for this article. © RSNA, 2024.

Coronary artery calcium score as independent risk factor of obstructive coronary artery disease.

OBJECTIVE: Aim: To prove an independence of CAC score comparatively to conventional risk factors such as age, and dyslipidemia especially in patients under forty years of age. PATIENTS AND METHODS: Materials and Methods: Thirty-four asymptomatic adult patients with no prior established atherosclerotic cardiovascular disease, diabetes mellitus or severe comorbidities, except of complex clinical examination, underwent CT scan with evaluation of coronary artery calcium score. RESULTS: Results: The average total cholesterol level in the group was (5.62±1.02) mmol/l, indicating the presence of dyslipidemia. The average HDL level was (1.26±0.24) mmol/l, suggesting an average risk of atherosclerosis. The average LDL levels were within the borderline range at (3.63±1.01) mmol/l. The average triglyceride level was within the safe range at (1.93±1.08) mmol/l. The atherogenicity coefficient indicated a moderate risk of atherosclerosis with an average value of 3.64±1.31. The average coronary artery calcium score was 56.71±143.85, indicating minor plaques and a moderate risk of coronary artery disease. Correlation analysis revealed no significant correlation between age and the CAC score (r=0.1, p>0.05). However, reliable direct correlation of weak strength was found between the CAC score and LDL level (r=0.35, p<0.05). Direct correlations of weak strength were also observed between age and the levels of total cholesterol, LDL and the atherogenicity coefficient (r=0.43, 0.49, 0.42 respectively, p<0.05). CONCLUSION: Conclusions: Coronary artery calcium score is a valuable screening tool for identifying potential obstructive coronary artery disease, not only for individuals aged forty and above, but also for younger asymptomatic patients.

Use of coronary artery calcium score and coronary CT angiography to guide cardiovascular prevention and treatment.

Currently, cardiovascular risk stratification to guide preventive therapy relies on clinical scores based on cardiovascular risk factors. However, the discriminative power of these scores is relatively modest. The use of coronary artery calcium score (CACS) and coronary CT angiography (CCTA) has surfaced as methods for enhancing the estimation of risk and potentially providing insights for personalized treatment in individual patients. CACS improves overall cardiovascular risk prediction and may be used to improve the yield of statin therapy in primary prevention, and possibly identify patients with a favorable risk/benefit relationship for antiplatelet therapies. CCTA holds promise to guide anti-atherosclerotic therapies and to monitor individual response to these treatments by assessing individual plaque features, quantifying total plaque volume and composition, and assessing peri-coronary adipose tissue. In this review, we aim to summarize current evidence regarding the use of CACS and CCTA for guiding lipid-lowering and antiplatelet therapy and discuss the possibility of using plaque burden and plaque phenotyping to monitor response to anti-atherosclerotic therapies.

Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as one of the most robust approaches for atherosclerotic cardiovascular disease risk stratification in primary prevention and a powerful tool to guide therapeutic choices. Groundbreaking advances in computational models and computer power translated into a surge of artificial intelligence (AI)-based approaches directly or indirectly linked to CACS analysis. This review aims to provide essential knowledge on the AI-based techniques currently applied to CACS, setting the stage for a holistic analysis of the use of these techniques in coronary artery calcium imaging. While the focus of the review will be detailing the evidence, strengths, and limitations of end-to-end CACS algorithms in electrocardiography-gated and non-gated scans, the current role of deep-learning image reconstructions, segmentation techniques, and combined applications such as simultaneous coronary artery calcium and pulmonary nodule segmentation, will also be discussed.