Monocyte-to-High-Density Lipoprotein Ratio Is Associated with Systemic Inflammation, Insulin Resistance, and Coronary Subclinical Atherosclerosis in Psoriasis: Results from 2 Observational Cohorts.

Systemic inflammation or insulin resistance drive atherosclerosis. However, they are difficult to capture for assessing cardiovascular risk in clinical settings. The monocyte-to-high-density lipoprotein ratio (MHR) is an accessible biomarker that integrates inflammatory and metabolic information and has been associated with poorer cardiovascular outcomes. Our aim was to evaluate the association of MHR with the presence of subclinical atherosclerosis in patients with psoriasis. The study involved a European and an American cohort including 405 patients with the disease. Subclinical atherosclerosis was assessed by coronary computed tomography angiography. First, MHR correlated with insulin resistance through homeostatic model assessment for insulin resistance, with high-sensitivity CRP and with 18F-fluorodeoxyglucose uptake in spleen, liver, and bone marrow by positron emission tomography/computed tomography. MHR was associated with both the presence of coronary plaques >50% of the artery lumen and noncalcified coronary burden, beyond traditional cardiovascular risk factors (P < .05). In a noncalcified coronary burden prediction model accounting for cardiovascular risk factors, statins, and biologic treatment, MHR added value (area under the curve base model = 0.72 vs area under the curve base model plus MHR = 0.76, P = .04) within the American cohort. These results suggests that MHR may detect patients with psoriasis who have subclinical burden of cardiovascular disease and warrant more aggressive measures to reduce lifetime adverse cardiovascular outcomes.

Circulating Oxidized mtDNA is Associated Broadly with Cardiovascular Disease in a Longitudinal Cohort Study of Psoriasis.

Psoriasis (PSO) is a chronic and systemic inflammatory autoimmune disease associated with atherosclerosis and myocardial infarction. Given that atherosclerosis is both inflammation and immune driven, we sought to expand on known immune and inflammatory biomarkers in a PSO cohort. In this study, we focus on oxidized mtDNA (ox-mtDNA), a product of cells undergoing pyroptosis, including keratinocytes, which was quantified in patients with PSO and individuals without PSO by ELISA. Patients with PSO had significantly higher ox-mtDNA levels than healthy subjects (mean ± SD = 9246 ± 2518 pg/ml for patients with PSO vs 7382 ± 2506 pg/ml for those without; P = .006). Importantly, ox-mtDNA was positively associated with IL-17a (ß = 0.25; P = .03) and low-density granulocytes (ß = 0.37; P = .005) but negatively associated with high-density lipoprotein-cholesterol (ß = -0.29; P = .006). After adjusting for traditional cardiovascular risk factors, we found that ox-mtDNA was associated with noncalcified coronary burden, which was measured by coronary computed tomography angiography (ß = 0.19; P = .003). Biologic-naïve patients with PSO receiving anti-IL-17a therapy had a 14% decrease in ox-mtDNA (mean ± SD: 10540 ± 614 pg/ml at baseline to 9016 ± 477 pg/ml at 1 year; P = .016) and a 10% reduction in noncalcified coronary artery burden (mean ± SD: 1.06 ± 0.45 at baseline, reducing to 0.95 ± 0.35 at 1 year; P = .0037). In summary, levels of ox-mtDNA in PSO are associated with measures of coronary plaque formation, indicating that this biomarker may be an autoimmune-driven early atherosclerotic feature.

Relationship of Soluble Lectin-Like Low-Density Lipoprotein Receptor-1 (sLOX-1) With Inflammation and Coronary Plaque Progression in Psoriasis.

BACKGROUND: Psoriasis is a chronic inflammatory condition associated with coronary artery disease risk. Uptake of oxidized low-density lipoprotein by the lectin-like low-density lipoprotein receptor-1 triggers release of the soluble extracellular domain of the receptor (sLOX-1). We sought to characterize the relationship between sLOX-1, inflammation, and coronary plaque progression in psoriasis. METHODS AND RESULTS: A total of 327 patients with psoriasis had serum sLOX-1 levels measured at baseline by an ELISA-based assay. Stratification by high-sensitivity C-reactive protein ≥4.0 mg/L (quartile 4), identified 81 participants who had coronary plaque phenotyping at baseline and were followed longitudinally by coronary computed tomography angiography. Subjects within high-sensitivity C-reactive protein quartile 4 were middle-aged (51.47±12.62 years), predominantly men (54.3%) with moderate psoriasis disease severity (6.60 [interquartile range, 3.30-13.40]). In the study cohort, participants with sLOX-1 above the median displayed increased vulnerable coronary plaque features. At baseline, sLOX-1 was associated with total burden (rho=0.296; P=0.01), noncalcified burden (rho=0.286; P=0.02), fibro-fatty burden (rho=0.346; P=0.004), and necrotic burden (rho=0.394; P=0.002). A strong relationship between sLOX-1, noncalcified burden (ß=0.19; P=0.03), and fibro-fatty burden (ß=0.29; P=0.003) was found in fully adjusted models at baseline and 1- and 4-year follow-up. Finally, coronary plaque features progressed over 1 year regardless of biologic or systemic treatment in subjects with high sLOX-1. CONCLUSIONS: Patients with psoriasis with both high sLOX-1 and high-sensitivity C-reactive protein levels have increased coronary plaque burden associated with atherosclerotic plaque progression independent of biologic and systemic treatment. Thus, sLOX-1 might be considered as a promising marker in coronary artery disease risk estimation beyond traditional risk factors. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01778569.

Longitudinal association of epicardial and thoracic adipose tissues with coronary and cardiac characteristics in psoriasis.

Background: s: Psoriasis is a disease of systemic inflammation associated with increased cardiometabolic risk. Epicardial adipose tissue (EAT) and thoracic adipose tissue (TAT) are contributing factors for atherosclerosis and cardiac dysfunction. We strove to assess the longitudinal impact of the EAT and TAT on coronary and cardiac characteristics in psoriasis. Methods: The study consisted of 301 patients with baseline coronary computed tomography angiography (CTA), of which 139 had four-year follow up scans. EAT and TAT volumes from non-contrast computed tomography scans were quantified by an automated segmentation framework. Coronary plaque characteristics and left ventricular (LV) mass were quantified by CTA. Results: When stratified by baseline EAT and TAT volume quartiles, a stepwise significant increase in cardiometabolic parameters was observed. EAT and TAT volumes associated with fibro-fatty burden (FFB) (TAT: ρ = 0.394, P < 0.001; EAT: ρ = 0.459, P < 0.001) in adjusted models. Only EAT had a significant four-year time-dependent association with FFB in fully adjusted models (ß = 0.307 P = 0.003), whereas only TAT volume associated with myocardial injury in fully adjusted models (TAT: OR = 1.57 95 % CI = (1.00-2.60); EAT: OR = 1.46 95 % CI = (0.91-2.45). Higher quartiles of EAT and TAT had increased LV mass and developed strong correlation (TAT: ρ = 0.370, P < 0.001; EAT: ρ = 0.512, P < 0.001). Conclusions: Our study is the first to explore how both EAT and TAT volumes associate with increased cardiometabolic risk profile in an inflamed psoriasis cohorts and highlight the need for further studies on its use as a potential prognostic tool for high-risk coronary plaques and cardiac dysfunction.

Boosting NAD preferentially blunts Th17 inflammation via arginine biosynthesis and redox control in healthy and psoriasis subjects.

To evaluate whether nicotinamide adenine dinucleotide-positive (NAD+) boosting modulates adaptive immunity, primary CD4+ T cells from healthy control and psoriasis subjects were exposed to vehicle or nicotinamide riboside (NR) supplementation. NR blunts interferon γ (IFNγ) and interleukin (IL)-17 secretion with greater effects on T helper (Th) 17 polarization. RNA sequencing (RNA-seq) analysis implicates NR blunting of sequestosome 1 (sqstm1/p62)-coupled oxidative stress. NR administration increases sqstm1 and reduces reactive oxygen species (ROS) levels. Furthermore, NR activates nuclear factor erythroid 2-related factor 2 (Nrf2), and genetic knockdown of nrf2 and the Nrf2-dependent gene, sqstm1, diminishes NR amelioratory effects. Metabolomics analysis identifies that NAD+ boosting increases arginine and fumarate biosynthesis, and genetic knockdown of argininosuccinate lyase ameliorates NR effects on IL-17 production. Hence NR via amino acid metabolites orchestrates Nrf2 activation, augments CD4+ T cell antioxidant defenses, and attenuates Th17 responsiveness. Oral NR supplementation in healthy volunteers similarly increases serum arginine, sqstm1, and antioxidant enzyme gene expression and blunts Th17 immune responsiveness, supporting evaluation of NAD+ boosting in CD4+ T cell-linked inflammation.

Cell-free, high-density lipoprotein-specific phospholipid efflux assay predicts incident cardiovascular disease.

BACKGROUNDCellular cholesterol efflux capacity (CEC) is a better predictor of cardiovascular disease (CVD) events than HDL-cholesterol (HDL-C) but is not suitable as a routine clinical assay.METHODSWe developed an HDL-specific phospholipid efflux (HDL-SPE) assay to assess HDL functionality based on whole plasma HDL apolipoprotein-mediated solubilization of fluorescent phosphatidylethanolamine from artificial lipid donor particles. We first assessed the association of HDL-SPE with prevalent coronary artery disease (CAD): study I included NIH severe-CAD (n = 50) and non-CAD (n = 50) participants, who were frequency matched for sex, BMI, type 2 diabetes mellitus, and smoking; study II included Japanese CAD (n = 70) and non-CAD (n = 154) participants. We also examined the association of HDL-SPE with incident CVD events in the Prevention of Renal and Vascular End-stage Disease (PREVEND) study comparing 340 patients with 340 controls individually matched for age, sex, smoking, and HDL-C levels.RESULTSReceiver operating characteristic curves revealed stronger associations of HDL-SPE with prevalent CAD. The AUCs in study I were as follows: HDL-SPE, 0.68; apolipoprotein A-I (apoA-I), 0.62; HDL-C, 0.63; and CEC, 0.52. The AUCs in study II were as follows: HDL-SPE, 0.83; apoA-I, 0.64; and HDL-C, 0.53. Also longitudinally, HDL-SPE was significantly associated with incident CVD events independent of traditional risk factors with ORs below 0.2 per SD increment in the PREVEND study (P < 0.001).CONCLUSIONHDL-SPE could serve as a routine clinical assay for improving CVD risk assessment and drug discovery.TRIAL REGISTRATIONClinicalTrials.gov NCT01621594.FUNDINGNHLBI Intramural Research Program, NIH (HL006095-06).

Comparison of the dietary omega-3 fatty acids impact on murine psoriasis-like skin inflammation and associated lipid dysfunction.

Persistent skin inflammation and impaired resolution are the main contributors to psoriasis and associated cardiometabolic complications. Omega-3 polyunsaturated fatty acids (PUFAs), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA), are known to exert beneficial effects on inflammatory response and lipid function. However, a specific role of omega-3 PUFAs in psoriasis and accompanied pathologies are still a matter of debate. Here, we carried out a direct comparison between EPA and DHA 12 weeks diet intervention treatment of psoriasis-like skin inflammation in the K14-Rac1V12 mouse model. By utilizing sensitive techniques, we targeted EPA- and DHA-derived specialized pro-resolving lipid mediators and identified tightly connected signaling pathways by RNA sequencing. Treatment with experimental diets significantly decreased circulating pro-inflammatory cytokines and bioactive lipid mediators, altered psoriasis macrophage phenotypes and genes of lipid oxidation. The superficial role of these changes was related to DHA treatment and included increased levels of resolvin D5, protectin DX and maresin 2 in the skin. EPA treated mice had less pronounced effects but demonstrated a decreased skin accumulation of prostaglandin E2 and thromboxane B2. These results indicate that modulating psoriasis skin inflammation with the omega-3 PUFAs may have clinical significance and DHA treatment might be considered over EPA in this specific disease.

Estimated sdLDL-C for predicting high-risk coronary plaque features in psoriasis: a prospective observational study.

BACKGROUND: Psoriasis (PSO) is a skin disorder with systemic inflammation and high coronary artery disease risk. A distinct lipid phenotype occurs in psoriasis, which is characterized by high plasma triglycerides (TGs) with typically normal or even low LDL-C. The extent to which cholesterol on LDL subfractions, such as small dense LDL-C (sdLDL-C), are associated with vulnerable coronary plaque characteristics in PSO remains elusive. METHODS: A recently developed equation for estimating sdLDL-C from the standard lipid panel was utilized in a PSO cohort (n = 200) with 4-year follow-up of 75 subjects. Coronary plaque burden was assessed by quantitative coronary computed tomography angiography (CCTA). Multivariate regression analyses were used for establishing associations and prognostic value of estimated sdLDL-C. RESULTS: Estimated sdLDL-C was positively associated with non-calcified burden (NCB) and fibro-fatty burden (FFB), which remained significant after multivariate adjustment for NCB (ß = 0.37; P = 0.050) and LDL-C adjustment for FFB (ß = 0.29; P < 0.0001). Of note, total LDL-C calculated by the Friedewald equation was not able to capture these associations in the study cohort. Moreover, in the regression modelling estimated sdLDL-C was significantly predicting necrotic burden progression over 4 years follow-up (P = 0.015), whereas LDL-C did not. Finally, small LDL particles (S-LDLP) and small HDL particles (S-HDLP), along with large and medium TG-rich lipoproteins (TRLPs) had the most significant positive correlation with estimated sdLDL-C. CONCLUSIONS: Estimated sdLDL-C has a stronger association than LDL-C with high-risk features of coronary atherosclerotic plaques in psoriasis patients. CLINICAL TRIAL REGISTRATION: URL: https://www. CLINICALTRIALS: gov . Unique identifiers: NCT01778569.

The Relationship between Circulating APOA-1 and Atherosclerosis Initiation and Progression in Psoriasis.

APOA-1 is central to the high-density lipoprotein function of reverse cholesterol transport measured by cholesterol efflux capacity. Psoriasis is a systemic inflammatory disease associated with poor cholesterol efflux capacity and accelerated noncalcified coronary burden (NCB) as measured by coronary computed tomographic angiography. In this study, we characterized the relationship between APOA-1, cholesterol efflux capacity, and progression of NCB over 4 years. Consecutively recruited participants with psoriasis underwent coronary computed tomographic angiography for NCB quantification (Medis QAngio, Leiden, The Netherlands) at baseline (n = 310) and at four years (n = 124). Blood was assessed for cardiometabolic biomarkers. The lowest quartile of APOA-1 was associated with cardiometabolic blood markers (insulin, homeostatic model assessment for insulin resistance, and cholesterol efflux capacity) and higher NCB (P < 0.001). The low APOA-1 quartile had higher NCB at 4 years (ß = -0.36, P = 0.02) in fully adjusted models. Finally, a 10-unit decrease of APOA-1 was associated with a 16% increase in NCB progression over 4 years (OR = 0.83, 95% confidence interval = 0.70-0.99, P = 0.04). In addition to being associated with cardiometabolic disease, low APOA-1 was associated with more NCB over time. These findings show that low APOA-1 is correlated with initiation and progression of coronary artery disease and may have clinical utility in identifying high-risk populations for development of cardiovascular disease.

Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.

BACKGROUND: Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can be measured in coronary computed tomography angiograms (CCTA). The clinical value of integrating this measurement in routine CCTA interpretation has not been documented. OBJECTIVES: This study sought to develop a deep-learning network for automated quantification of EAT volume from CCTA, test it in patients who are technically challenging, and validate its prognostic value in routine clinical care. METHODS: The deep-learning network was trained and validated to autosegment EAT volume in 3,720 CCTA scans from the ORFAN (Oxford Risk Factors and Noninvasive Imaging Study) cohort. The model was tested in patients with challenging anatomy and scan artifacts and applied to a longitudinal cohort of 253 patients post-cardiac surgery and 1,558 patients from the SCOT-HEART (Scottish Computed Tomography of the Heart) Trial, to investigate its prognostic value. RESULTS: External validation of the deep-learning network yielded a concordance correlation coefficient of 0.970 for machine vs human. EAT volume was associated with coronary artery disease (odds ratio [OR] per SD increase in EAT volume: 1.13 [95% CI: 1.04-1.30]; P = 0.01), and atrial fibrillation (OR: 1.25 [95% CI: 1.08-1.40]; P = 0.03), after correction for risk factors (including body mass index). EAT volume predicted all-cause mortality (HR per SD: 1.28 [95% CI: 1.10-1.37]; P = 0.02), myocardial infarction (HR: 1.26 [95% CI:1.09-1.38]; P = 0.001), and stroke (HR: 1.20 [95% CI: 1.09-1.38]; P = 0.02) independently of risk factors in SCOT-HEART (5-year follow-up). It also predicted in-hospital (HR: 2.67 [95% CI: 1.26-3.73]; P ≤ 0.01) and long-term post-cardiac surgery atrial fibrillation (7-year follow-up; HR: 2.14 [95% CI: 1.19-2.97]; P ≤ 0.01). CONCLUSIONS: Automated assessment of EAT volume is possible in CCTA, including in patients who are technically challenging; it forms a powerful marker of metabolically unhealthy visceral obesity, which could be used for cardiovascular risk stratification.

Cardiovascular Screening Practices and Statin Prescription Habits in Patients with Psoriasis among Dermatologists, Rheumatologists and Primary Care Physicians.

Patients with psoriasis have a higher prevalence of cardiovascular risk factors. This study evaluated cardiovascular screening practices and statin prescribing habits among dermatologists, rheumatologists and primary care physicians (PCPs) through an online questionnaire, which was distributed through the Spanish scientific societies of the above-mentioned specialties. A total of 299 physicians (103 dermatologists, 94 rheumatologists and 102 PCPs) responded to the questionnaire. Of these, 74.6% reported screening for smoking, 37.8% for hypertension, 80.3% for dyslipidaemia, and 79.6% for diabetes mellitus. Notably, only 28.4% performed global screening, defined as screening for smoking, hypertension, dyslipidaemia, and diabetes mellitus by the same physician, and 24.4% reported calculating 10-year cardiovascular disease (CVD) risk, probably reflecting a lack of comprehensive cardiovascular risk assessment in these patients. This study also identified unmet needs for awareness of cardiovascular comorbidities in psoriasis and corresponding screening and treatment recommendations among PCPs. Of PCPs, 61.2% reported not being aware of the association between psoriasis and CVD and/or not being aware of its screening recommendations, and 67.6% did not consider psoriasis as a risk-enhancing factor when deciding on statin prescription. Thirteen dermatologists (12.6%) and 35 rheumatologists (37.2%) reported prescribing statins. Among those who do not prescribe, 49.7% would be willing to start their prescription.

Cholesterol efflux capacity is associated with lipoprotein size and vascular health in mild to moderate psoriasis.

Background and objective: Psoriasis is a systemic inflammatory condition with poor cholesterol transport measured by cholesterol efflux capacity (CEC) that is associated with a heightened risk of cardiovascular disease (CVD). In psoriasis patients, we sought to characterize the lipoprotein profile by size using a novel nuclear magnetic resonance algorithm in patients with low CEC compared to normal CEC. Methods: Lipoprotein profile was assessed using the novel nuclear magnetic resonance LipoProfile-4 deconvolution algorithm. Aortic vascular inflammation (VI) and non-calcified burden (NCB) were characterized via positron emission tomography-computed tomography and coronary computed tomography angiography. To understand the relationship between lipoprotein size and markers of subclinical atherosclerosis, linear regression models controlling for confounders were constructed. Results: Psoriasis patients with low CEC had higher more severe psoriasis (p = 0.04), VI (p = 0.04) and NCB (p = 0.001), concomitant with smaller high-density lipoprotein (HDL) (p < 0.001) and low-density lipoprotein (LDL) particles (p < 0.001). In adjusted models HDL size (ß = -0.19; p = 0.02) and LDL size (ß = -0.31; p < 0.001) associated with VI and NCB. Lastly, HDL size strongly associated with LDL size in fully adjusted models (ß = -0.27; p < 0.001). Conclusion: These findings demonstrate that in psoriasis, low CEC associates with a lipoprotein profile comprised of smaller HDL and LDL particles which correlates with vascular health and may be driving early onset atherogenesis. Further, these results demonstrate a relationship between HDL and LDL size and provide novel insights into the complexities of HDL and LDL as biomarkers of vascular health.

BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases.

For any given body mass index (BMI), individuals vary substantially in fat distribution, and this variation may have important implications for cardiometabolic risk. Here, we study disease associations with BMI-independent variation in visceral (VAT), abdominal subcutaneous (ASAT), and gluteofemoral (GFAT) fat depots in 40,032 individuals of the UK Biobank with body MRI. We apply deep learning models based on two-dimensional body MRI projections to enable near-perfect estimation of fat depot volumes (R2 in heldout dataset = 0.978-0.991 for VAT, ASAT, and GFAT). Next, we derive BMI-adjusted metrics for each fat depot (e.g. VAT adjusted for BMI, VATadjBMI) to quantify local adiposity burden. VATadjBMI is associated with increased risk of type 2 diabetes and coronary artery disease, ASATadjBMI is largely neutral, and GFATadjBMI is associated with reduced risk. These results - describing three metabolically distinct fat depots at scale - clarify the cardiometabolic impact of BMI-independent differences in body fat distribution.

The combined effect of air and transportation noise pollution on atherosclerotic inflammation and risk of cardiovascular disease events.

BACKGROUND: Air pollution and noise exposures individually associate with major adverse cardiovascular events (MACE) via a mechanism involving arterial inflammation (ArtI); however, their combined impact on ArtI and MACE remains unknown. We tested whether dual (vs. one or neither) exposure associates with greater ArtI and MACE risk and whether MACE risk is mediated via ArtI. METHODS: Individuals (N = 474) without active cancer or known cardiovascular disease with clinical 18F-FDG-PET/CT imaging were followed for 5 years for MACE. ArtI was measured. Average air pollution (particulate matter ≤ 2.5 µm, PM2.5) and transportation noise exposure were determined at individual residences. Higher exposures were defined as noise > 55 dBA (World Health Organization cutoff) and PM2.5 ≥ sample median. RESULTS: At baseline, 46%, 46%, and 8% were exposed to high levels of neither, one, or both pollutants; 39 experienced MACE over a median 4.1 years. Exposure to an increasing number of pollutants associated with higher ArtI (standardized ß [95% CI: .195 [.052, .339], P = .008) and MACE (HR [95% CI]: 2.897 [1.818-4.615], P < .001). In path analysis, ArtI partially mediated the relationship between pollutant exposures and MACE (P < .05). CONCLUSION: Air pollution and transportation noise exposures contribute incrementally to ArtI and MACE. The mechanism linking dual exposure to MACE involves ArtI.

DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation.

Cardiac computed tomography angiography (CTA) is an emerging imaging modality for assessing coronary artery as well as various cardiovascular structures. Recently, deep learning (DL) methods have been successfully applied to many applications of medical image analysis including cardiac CTA structure segmentation. However, DL requires a large amounts of data and high-quality labels for training which can be burdensome to obtain due to its labor-intensive nature. In this study, we aim to develop a fully automatic artificial intelligence (AI) system, named DeepHeartCT, for accurate and rapid cardiac CTA segmentation based on DL. The proposed system was trained using a large clinical dataset with computer-generated labels to segment various cardiovascular structures including left and right ventricles (LV, RV), left and right atria (LA, RA), and LV myocardium (LVM). This new system was trained directly using high-quality computer labels generated from our previously developed multi-atlas based AI system. In addition, a reverse ranking strategy was proposed to assess the segmentation quality in the absence of manual reference labels. This strategy allowed the new framework to assemble optimal computer-generated labels from a large dataset for effective training of a deep convolutional neural network (CNN). A large clinical cardiac CTA studies (n = 1,064) were used to train and validate our framework. The trained model was then tested on another independent dataset with manual labels (n = 60). The Dice score, Hausdorff distance and mean surface distance were used to quantify the segmentation accuracy. The proposed DeepHeartCT framework yields a high median Dice score of 0.90 [interquartile range (IQR), 0.90-0.91], a low median Hausdorff distance of 7 mm (IQR, 4-15 mm) and a low mean surface distance of 0.80 mm (IQR, 0.57-1.29 mm) across all segmented structures. An additional experiment was conducted to evaluate the proposed DL-based AI framework trained with a small vs. large dataset. The results show our framework also performed well when trained on a small optimal training dataset (n = 110) with a significantly reduced training time. These results demonstrated that the proposed DeepHeartCT framework provides accurate and rapid cardiac CTA segmentation that can be readily generalized for handling large-scale medical imaging applications.