Paracardial Adipose Tissue Research Articles

Association of increased epicardial adipose tissue derived from cardiac magnetic resonance imaging with myocardial fibrosis in Duchenne muscular dystrophy: a clinical prediction model development and validation study in 283 participants.

Epicardial adipose tissue (EAT) contributes to inflammation and fibrosis of the neighboring myocardial tissue via paracrine signaling. In this retrospective study, we investigated the abnormal changes in the amount of EAT in male children with Duchenne muscular dystrophy (DMD) using cardiac magnetic resonance (CMR) imaging. Furthermore, we constructed and validated a nomogram including EAT-related CMR imaging parameter for predicting the occurrence of myocardial fibrosis in patients with DMD. This study enrolled 283 patients with DMD and 57 healthy participants who underwent CMR acquisitions to measure the quantitative parameters of EAT, pericardial adipose tissue (PAT), paracardial adipose tissue, and subcutaneous adipose tissue. Late gadolinium enhancement (LGE) was performed to confirm myocardial fibrosis in patients with DMD. The DMD group consisted of 200 patients from institution 1 (the ratio of the training set and the internal validation set was 7:3) and 83 patients from four other institutions (the external validation set). Logistic and least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal predictors and to develop and validate the nomogram model predicting LGE risk in the training set, internal validation set, and external validation set. Compared with those in healthy controls, some regional EAT thicknesses, areas, and global volumes were significantly higher in patients with DMD, and 41.7% of patients with DMD showed positive LGE. These LGE-positive patients with DMD showed significantly higher EAT volume (median 23.9 mL/m3; P<0.001) and PAT volume (median 31.8 mL/m3; P<0.001) compared with the LGE-negative patients with DMD. Age [odds ratio (OR) 2.0; P<0.001], body fat percentage (OR 1.3; P<0.001), and EAT volume (OR 1.4; P<0.001) were independently associated with positive LGE in the training set. The interactive dynamic nomogram showed superior prediction performance, with a high degree of the calibration, discrimination, and clinical net benefit in the training and validation of the DMD datasets. The area under the curve (AUC) values of the nomogram in the training set, internal validation set, and external validation set were 0.95 [95% confidence interval (CI): 0.91-0.98], 0.97 (95% CI: 0.92-0.99), and 0.95 (95% CI: 0.91-0.99), respectively. The onset of LGE-based myocardial fibrosis was associated with EAT volume in patients with DMD. Additionally, the nomogram with EAT volumes showed superior performance in patients with DMD for predicting the occurrence of myocardial fibrosis.

BOA: A CT-Based Body and Organ Analysis for Radiologists at the Point of Care.

The study aimed to develop the open-source body and organ analysis (BOA), a comprehensive computed tomography (CT) image segmentation algorithm with a focus on workflow integration. The BOA combines 2 segmentation algorithms: body composition analysis (BCA) and TotalSegmentator. The BCA was trained with the nnU-Net framework using a dataset including 300 CT examinations. The CTs were manually annotated with 11 semantic body regions: subcutaneous tissue, muscle, bone, abdominal cavity, thoracic cavity, glands, mediastinum, pericardium, breast implant, brain, and spinal cord. The models were trained using 5-fold cross-validation, and at inference time, an ensemble was used. Afterward, the segmentation efficiency was evaluated on a separate test set comprising 60 CT scans. In a postprocessing step, a tissue segmentation (muscle, subcutaneous adipose tissue, visceral adipose tissue, intermuscular adipose tissue, epicardial adipose tissue, and paracardial adipose tissue) is created by subclassifying the body regions. The BOA combines this algorithm and the open-source segmentation software TotalSegmentator to have an all-in-one comprehensive selection of segmentations. In addition, it integrates into clinical workflows as a DICOM node-triggered service using the open-source Orthanc research PACS (Picture Archiving and Communication System) server to make the automated segmentation algorithms available to clinicians. The BCA model's performance was evaluated using the Sørensen-Dice score. Finally, the segmentations from the 3 different tools (BCA, TotalSegmentator, and BOA) were compared by assessing the overall percentage of the segmented human body on a separate cohort of 150 whole-body CT scans. The results showed that the BCA outperformed the previous publication, achieving a higher Sørensen-Dice score for the previously existing classes, including subcutaneous tissue (0.971 vs 0.962), muscle (0.959 vs 0.933), abdominal cavity (0.983 vs 0.973), thoracic cavity (0.982 vs 0.965), bone (0.961 vs 0.942), and an overall good segmentation efficiency for newly introduced classes: brain (0.985), breast implant (0.943), glands (0.766), mediastinum (0.880), pericardium (0.964), and spinal cord (0.896). All in all, it achieved a 0.935 average Sørensen-Dice score, which is comparable to the one of the TotalSegmentator (0.94). The TotalSegmentator had a mean voxel body coverage of 31% ± 6%, whereas BCA had a coverage of 75% ± 6% and BOA achieved 93% ± 2%. The open-source BOA merges different segmentation algorithms with a focus on workflow integration through DICOM node integration, offering a comprehensive body segmentation in CT images with a high coverage of the body volume.

Significance of Adipose Tissue Quantity and Distribution on Obesity Paradox in Heart Failure

Obesity is a predictor of the development of systolic and diastolic heart failure (HF), but once established, patients with HF and obesity have better outcomes than their leaner counterparts, a phenomenon termed the "obesity paradox." We sought to investigate the impact of adipose tissue quantity and distribution, measured by way of computed tomography, on outcomes in patients with HF. Patients admitted for acute decompensated HF between January 2017 to December 2018 were retrospectively analyzed. Body composition measurements were made on computed tomography of the abdomen/pelvis. Visceral, subcutaneous, and intermuscular adipose tissues were measured at the mid-third lumbar vertebra, along with skeletal muscle and waist circumference. Paracardial (pericardial and epicardial) adipose tissue was measured at the mid-eight thoracic vertebra. Visceral adipose tissue index (VATI) and subcutaneous adipose tissue index (SATI), along with skeletal muscle index, were indexed for patient height. A total of 200 patients were included, 44.5% female. Body mass index and waist circumference did not significantly predict outcomes. Patients with high SATI (highest sex-stratified tertile) had significantly better survival (hazard ratio 0.58, 95% confidence interval 0.39 to 0.87, p=0.009), whereas high VATI was nonsignificant. Patients were further divided into 4 groups based on both VATI and SATI. One- and 4-year mortality risks were lowest in those with low VATI high SATI compared with the other groups; this persisted after multivariable adjustment for covariates, including albumin and skeletal muscle index. In conclusion, the "obesity paradox" appears to be largely driven by subcutaneous adipose tissue, independent of nutrition or skeletal muscle.

Pioglitazone reduces epicardial fat and improves diastolic function in patients with type 2 diabetes.

To examine the effect of pioglitazone on epicardial (EAT) and paracardial adipose tissue (PAT) and measures of diastolic function and insulin sensitivity in patients with type 2 diabetes mellitus (T2DM). Twelve patients with T2DM without clinically manifest cardiovascular disease and 12 subjects with normal glucose tolerance (NGT) underwent cardiac magnetic resonance imaging to quantitate EAT and PAT and diastolic function before and after pioglitazone treatment for 24 weeks. Whole-body insulin sensitivity was measured with a euglycaemic insulin clamp and the Matsuda Index (oral glucose tolerance test). Pioglitazone reduced glycated haemoglobin by 0.9% (P< 0.05), increased HDL cholesterol by 7% (P< 0.05), reduced triacylglycerol by 42% (P< 0.01) and increased whole-body insulin-stimulated glucose uptake by 71% (P< 0.01) and Matsuda Index by 100% (P< 0.01). In patients with T2DM, EAT (P< 0.01) and PAT (P< 0.01) areas were greater compared with subjects with NGT, and decreased by 9% (P= 0.03) and 9% (P= 0.09), respectively, after pioglitazone treatment. Transmitral E/A flow rate and peak left ventricular flow rate (PLVFR) were reduced in T2DM versus NGT (P< 0.01) and increased following pioglitazone treatment (P< 0.01-0.05). At baseline normalized PLVFR inversely correlated with EAT (r= -0.45, P= 0.03) but not PAT (r= -0.29, P= 0.16). E/A was significantly and inversely correlated with EAT (r= -0.55, P= 0.006) and PAT (r= -0.40, P= 0.05). EAT and PAT were inversely correlated with whole-body insulin-stimulated glucose uptake (r= -0.68, P< 0.001) and with Matsuda Index (r= 0.99, P< 0.002). Pioglitazone reduced EAT and PAT areas and improved left ventricular (LV) diastolic function in T2DM. EAT and PAT are inversely correlated (PAT less strongly) with LV diastolic function and both EAT and PAT are inversely correlated with measures of insulin sensitivity.

Magnetic Resonance Imaging Quantification of Accumulation of Epicardial Adipose Tissue Adds Independent Risks for Diastolic Dysfunction among Dialysis Patients.

Diastolic dysfunction (DD) frequently occurs in dialysis patients; however, the risk factors of DD remain to be further explored in such a population. Epicardial adipose tissue (EAT) volume has proven to be an independent clinical risk factor for multiple cardiac disorders. To assess whether EAT volume is an independent risk factor for DD in dialysis patients. Case-control study. A total of 113 patients (mean age: 54.5± 14.4 years; 41 women) who had underwent dialysis for at least 3 months due to uremia. A 3 T, steady-state free precession (SSFP) sequence for cine imaging, modified Look-Locker imaging (MOLLI) for T1 mapping and gradient-recalled-echo for T2*. All participants were performed cardiac magnetic resonance imaging (MRI) and echocardiogram. For MRI images analysis, borders of the EAT were manually delineated, as well as, pericardial adipose tissue (PeAT) and paracardial adipose tissue (PaAT), T1 mapping, T2* mapping, global longitudinal strain (GLS), and left atrial strain. For echocardiogram assessments, the thickness of PaAT, e' velocity, E velocity, E/e ratio, A velocity, and deceleration time were measured. Univariate and multivariate logistic regressions were performed to explore the independent risk factors for DD. P value less than 0.05 was considered as significant. Compared with the DD(-) group, the DD(+) group had significantly more epicardial tissue fat (18.5 ± 1.3 vs. 30.9 ± 2.3) In addition, EAT volumes increased significantly with the grades of DD (grade 1 vs. grade 2 and 3: 27.9 ± 15.9 vs. 35.4 ± 13.1). Moreover, EAT had significant correlations with T1 mapping, T2* mapping, GLS, left atrial strain, e' velocity, and E/e ratio. EAT accumulation added an independent risk for DD (Odds Ratio=1.03) over conventional clinical risk factors including age, diabetes mellitus, and hemodialysis. EAT was associated with diastolic function, and its accumulation may be an independent risk factor for DD among dialysis patients. 2 TECHNICAL EFFICACY: Stage 2.

The role of coronary CT angiography and person"s lifestyle habits in assessment of risk for primer protection from cardiovascular diseases

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Prevention of atherosclerotic coronary artery disease (CAD), is primarily based on risk assesment. SCORE risk model is the most widely used risk assesment tool which is a comprehensive model of classical risk factors for CAD . However this model does not include several important risk factors such as socioeconomic level, education status, social support , sedantary life style, systemic inflammation and etc.. SCORE model also does not have any component about imaging findings. Actually high Agatston score, which measures coronary artery calcium (CAC) in cardiac computed tomography angiography (CCTA) is an important risk estimator for CAD. Aim The aim of this study is to investigate the importance of CCTA findings together with sociocultural and lifestyle characteristics of individuals on top of SCORE risk assesment Methods 565 patients who applied to the Izmir Medical Park Hospital cardiology outpatient clinic between 15.01.2019-20.01.2020 and underwent CCTA were screened. Patients with known CAD were excluded,497 people were included in the study.Cardiovascular risk factors, socioeconomic and lifestyle characteristics of the person were learned and SCORE risk calculated. Agatston CAC score (CACS), presence of hepatosteatosis, paracardial adipose tissue thickness (PATT) measured in CCTA.Data of individuals were analyzed in terms of presence of Agatston CACS. Parameters that were significant in univariate analysis were included in multivariate analysis. Independent predictors of atherosclerosis were investigated. Results Patients were divided into 2 groups according to CAC score: group 1 with an CCS = 0 and group 2 as CCS &amp;gt; 0 . Among several lifestyle and sociocultural characteristics assesed, only having an active working life was found to be significantly associated with CCS = 0 (table 1) However in multivariate analysis, significance was lost for active working ; the only significant predictors of CCS = 0 were SCORE value of &amp;lt;5 and PATT &amp;lt; 5mm. (table 2) The PATT value was a more powerful predictor of atherosclerosis compared to the all other well known metabolic parameters such as BMI, blood glucose and lipid levels Conclusion Although SCORE risk model does not include components about lifestyle characteristics of individuals and imaging findings , it was the most powerful estimator of presence of atherosclerosis. No single lifestyle characteristics was able to predict CAD independently. However the PATT which is a marker of visseral obesity with inflamatory roles on heart and coronary arteries, was found to be an independent predictor of atherosclerosis on top of SCORE risk. So we think that The measurement of PATT can be useful to predict an individual"s risk of atherosclerosis. We can use it in our routine practice to make the risk assessment of people more effective. Abstract Figure. Independent Predictors of Being Agatston Abstract Figure. Independent Predictors of Being Agatsto2

Computed Tomography-derived Characterization of Pericoronary, Epicardial, and Paracardial Adipose Tissue and Its Association With Myocardial Ischemia as Assessed by Computed Fractional Flow Reserve.

Increased pericoronary adipose tissue (PCAT) attenuation derived from coronary computed tomography (CT) angiography (CTA) relates to coronary inflammation and cardiac mortality. We aimed to investigate the association between CT-derived characterization of different cardiac fat compartments and myocardial ischemia as assessed by computed fractional flow reserve (FFRCT). In all, 133 patients (median 64 y, 74% male) with coronary artery disease (CAD) underwent CTA including FFRCT measurement followed by invasive FFR assessment (FFRINVASIVE). CT attenuation and volume of PCAT were quantified around the proximal right coronary artery (RCA), left anterior descending artery (LAD), and left circumflex artery (LCX). Epicardial adipose tissue (EAT) and paracardial adipose tissue (PAT; all intrathoracic adipose tissue outside the pericardium) were quantified in noncontrast cardiac CT datasets. Median FFRCT was 0.86 [0.79, 0.91] and median FFRINVASIVE was 0.87 [0.81, 0.93]. Subjects with the presence of myocardial ischemia (n=26) defined by an FFRCT-threshold of ≤0.75 showed significantly higher RCA PCAT attenuation than individuals without myocardial ischemia (n=107) (-75.1±10.8 vs. -81.1±10.6 HU, P=0.011). In multivariable analysis adjusted for age, body mass index, sex and risk factors, increased RCA PCAT attenuation remained a significant predictor of myocardial ischemia. Between individuals with myocardial ischemia compared with individuals without myocardial ischemia, there was no significant difference in the volume and CT attenuation of EAT and PAT or in the PCAT volume of RCA, LAD, and LCX. Increased RCA PCAT attenuation is associated with the presence of myocardial ischemia as assessed by FFR, while PCAT volume, EAT, and PAT are not.

Association of Region-Specific Cardiac Adiposity With Dysglycemia and New-Onset Diabetes.

BackgroundVisceral adipose tissue is assumed to be an important indicator for insulin resistance and diabetes beyond overweight/obesity. We hypothesized that region‐specific visceral adipose tissue may regulate differential biological effects for new‐onset diabetes regardless of overall obesity.Methods and ResultsWe quantified various visceral adipose tissue measures, including epicardial adipose tissue, paracardial adipose tissue, interatrial fat, periaortic fat, and thoracic aortic adipose tissue in 1039 consecutive asymptomatic participants who underwent multidetector computed tomography. We explored the associations of visceral adipose tissue with baseline dysglycemic indices and new‐onset diabetes. Epicardial adipose tissue, paracardial adipose tissue, interatrial fat, periaortic fat, and thoracic aortic adipose tissue were differentially and independently associated with dysglycemic indices (fasting glucose, postprandial glucose, HbA1c, and homeostasis model assessment of insulin resistance) beyond anthropometric measures. The superimposition of interatrial fat and thoracic aortic adipose tissue on age, sex, body mass index, and baseline homeostasis model assessment of insulin resistance expanded the likelihood of baseline diabetes (from 67.2 to 86.0 and 64.4 to 70.8, P for ∆ ꭕ2: <0.001 and 0.011, respectively). Compared with the first tertile, the highest interatrial fat tertile showed a nearly doubled risk for new‐onset diabetes (hazard ratio, 2.09 [95% CI, 1.38–3.15], P<0.001) after adjusting for Chinese Visceral Adiposity Index.ConclusionsRegion‐specific visceral adiposity may not perform equally in discriminating baseline dysglycemia or diabetes, and showed differential predictive performance in new‐onset diabetes. Our data suggested that interatrial fat may serve as a potential marker for new‐onset diabetes.

Computed tomography-derived characterisation of pericoronary,epicardial and paracardial adipose tissue and its association with myocardial ischemia as assessed by computed and invasive fractional flow

Abstract Introduction Increased pericoronary adipose tissue (PCAT) computed tomography (CT) attenuation derived from coronary CT angiography (CTA) around the right coronary artery (RCA) reflects coronary inflammation and relates to cardiac mortality. Purpose We aimed to investigate the yet unclear association between CT-derived characterisation of different cardiac adipose tissue compartments and the presence of myocardial ischemia as assessed by fractional flow reserve (FFR). Methods 133 stable individuals (64 years, 74% male) with coronary artery disease (CAD) underwent CTA including computed FFR (FFR-CT) measurement followed by invasive angiography with FFR (invasive FFR) assessment. The CT attenuation (HU) and volume (mm3) of PCAT were quantified around the RCA (10 to 50 mm from RCA ostium), the proximal 40 mm of the left anterior descending artery (LAD) and the circumflex artery (LCX) with the help of semi-automated software. The per patient PCAT CT attenuation was calculated as followed: (PCAT CT attenuation of RCA+LAD+LCX)/3. Quantification of epicardial adipose tissue (EAT) and paracardial adipose tissue (PAT; all intrathoracic adipose tissue outside the pericardium) were performed in non-contrast cardiac CT data sets using a fully automated deep-learning based algorithm. Results Median FFR-CT was 0.86 [0.79, 0.91] and median invasive FFR was 0.87 [0.81, 0.93]. Patients with presence of myocardial ischemia (n=26) defined by a FFR-CT threshold of ≤0.75 showed a significant higher PCAT CT attenuation of RCA (−75.1 HU vs. −81.1 HU, p=0.011) and per patient (−74.5 HU vs. −77.7 HU, p=0.045) than individuals without myocardial ischemia (n=107). In multivariable analysis adjusted for age, BMI, gender and traditional risk factors, both RCA and per patient PCAT CT attenuation were significant predictors of myocardial ischemia as assessed by FFRCT ≤0.75. Between individuals with myocardial ischemia compared to individuals without myocardial ischemia there was no significant difference neither in the volume and CT attenuation of EAT and PAT nor in the PCAT volume of RCA, LAD, LCX and per patient PCAT volume. Conclusions Our observations suggest that PCAT CT attenuation instead of PCAT volume, EAT and PAT measures might be associated with the presence of myocardial ischemia as assessed by FFR. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): German Heart Foundation e.V.

CT-derived characterization of pericoronary, paracardial and epicardial adipose tissue and its association with myocardial ischemia as assessed by adenosine stress CMR perfusion imaging

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): German Heart Foundation e.V. Introduction Increased attenuation of pericoronary adipose tissue (PCAT) around the right coronary artery (RCA) is a new imaging biomarker to detect coronary inflammation derived from routine coronary CT angiography (CTA) and has been shown to be associated with cardiac mortality. Increased volume of epicardial adipose tissue (EAT) has been reported be associated with myocardial ischemia. Purpose We aimed to investigate a potential association between CTA-derived PCAT measures and myocardial ischemia as assessed by adenosine stress CMR perfusion imaging. Methods In this single-centre study 109 stable individuals (mean age of 62 ± 11 years, 77% males) with coronary artery disease underwent CTA followed by adenosine stress CMR perfusion imaging to detect myocardial ischemia. PCAT CT attenuation (HU) and PCAT volume (cm3) was measured around the RCA (10 to 50 mm from RCA ostium), the proximal 40 mm of the left anterior descending artery (LAD) and the circumflex artery (LCX) using semi-automated software. Per patient PCAT CT attenuation was calculated as followed: (PCAT attenuation of RCA + LAD + LCX)/3). Non-contrast CT data sets were used for coronary calcium scoring and the quantification of EAT (located between the myocardial surface and the pericardium) and paracardial adipose tissue (PAT; intrathoracic and outside of the pericardium). Results Between patients with evidence of significant myocardial ischemia as assessed by adenosine stress CMR perfusion imaging (n = 35) and patients without myocardial ischemia (n = 74) there was no significant difference in the CT attenuation of RCA (-85.3 HU vs. -85.7 HU, p = 0.87), LAD (-84.8 HU vs. -85.7 HU, p = 0.66) and LCX (-82.8 HU vs. -83.2 HU, p = 0.79) as well as in the per patient PCAT CT attenuation (-84.2 HU vs. -84.9 HU, p = 0.76). Neither did patients with myocardial ischemia within the RCA territory show increased RCA PCAT CT attenuation (-87.7 HU vs. -85.3 HU, p = 0.40); nor was such a relationship found for the territory of the LAD (-80.6 HU vs. 85.8 HU, p = 0.11) or LCX (-83.1 HU vs. -83.0 HU, p = 0.99). The CT attenuation of EAT (-77.9 vs. -78.7 HU, p = 0.65) and PAT (-89.9 HU vs. -90.0 HU, p = 0.93) did not differ between patients with myocardial ischemia compared to patients without myocardial ischemia. Between patients with myocardial ischemia and patients without myocardial ischemia there was no significant difference in the volumes of EAT (118.1 cm3 vs. 110.6 cm3, p = 0.55), PAT (279.5 cm3 vs. 240.9 cm3, p = 0.20) and the per patient PCAT volume (1021.9 mm3 vs. 1015.5 mm3, p = 0.90). In logistic regression analysis the volume and CT attenuation of the different intrathoracic fat compartments PCAT, EAT and PAT were not independently associated with the presence of myocardial ischemia (n.s.). Conclusions In this single-centre study CTA-derived quantified CT attenuation and volume of PCAT, EAT and PAT were not associated with myocardial ischemia as assessed by adenosine stress CMR perfusion imaging.

CT-derived characterization of pericoronary, paracardial and epicardial adipose tissue and its association with myocardial ischemia as assessed by adenosine stress CMR perfusion imaging

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Kaltenbach scholarship of the german heart foundation Background Increased attenuation of pericoronary adipose tissue (PCAT) around the right coronary artery (RCA) is a new imaging biomarker to detect coronary inflammation derived from routine coronary CT angiography (CTA) and has been shown to be associated with cardiac mortality. Increased volume of epicardial adipose tissue (EAT) has been reported be associated with myocardial ischemia. Purpose We aimed to investigate for the first time a potential association between CTA-derived PCAT measures and myocardial ischemia as assessed by adenosine stress CMR perfusion imaging. Methods In this single-centre study 109 stable individuals (mean age of 62 ± 11 years, 77% males) with coronary artery disease underwent CTA followed by adenosine stress CMR perfusion imaging to detect myocardial ischemia. PCAT CT attenuation (HU) and PCAT volume (cm³) was measured around the RCA (10 to 50 mm from RCA ostium), the proximal 40 mm of the left anterior descending artery (LAD) and the circumflex artery (LCX) using semi-automated software. Per patient PCAT CT attenuation was calculated as followed: (PCAT attenuation of RCA + LAD + LCX)/3). Non-contrast CT data sets were used for coronary calcium scoring and the quantification of EAT (located between the myocardial surface and the pericardium) and paracardial adipose tissue (PAT; intrathoracic and outside of the pericardium). Results Between patients with evidence of significant myocardial ischemia as assessed by adenosine stress CMR (n = 35) and patients without myocardial ischemia (n = 74) there was no significant difference in the PCAT CT attenuation of RCA (-85.3 vs. -85.7 HU, p = 0.87), LAD (-84.8 vs. -85.7 HU, p = 0.66) and LCX (-82.8 vs. -83.2 HU, p = 0.79) as well as in the per patient PCAT CT attenuation (-84.2 vs. -84.9 HU, p = 0.76). Neither did patients with myocardial ischemia within the RCA territory show increased RCA PCAT CT attenuation (-87.7 vs. -85.3 HU, p = 0.40); nor was such a relationship found for the territory of the LAD (-80.6 vs. 85.8 HU, p = 0.11) or LCX (-83.1 vs. -83.0 HU, p = 0.99). The CT attenuation of EAT (-77.9 vs. -78.7 HU, p = 0.65) and PAT (-89.9 vs. -90.0 HU, p = 0.93) did not differ significantly between patients with myocardial ischemia compared to patients without myocardial ischemia. Between patients with myocardial ischemia and patients without myocardial ischemia there was no significant difference in the volumes of EAT (118.1 vs. 110.6 cm³, p = 0.55), PAT (279.5 vs. 240.9 cm³, p = 0.20) and the per patient PCAT volume (1021.9 vs. 1015.5 cm³, p = 0.90). In logistic regression analysis the volume and CT attenuation of the different intrathoracic fat compartments PCAT, EAT and PAT were not independently associated with the presence of myocardial ischemia (n.s.). Conclusions In this single-centre study CTA-derived quantified CT attenuation and volume of PCAT, EAT and PAT were not associated with myocardial ischemia as assessed by adenosine stress CMR perfusion imaging.

Computed Tomography-derived Characterisation Of Pericoronary, Epicardial And Paracardial Adipose Tissue And Its Association With Myocardial Ischemia As Assessed By Computed And Invasive Fractional Flow Reserve

Introduction: Increased pericoronary adipose tissue (PCAT) computed tomography (CT) attenuation derived from coronary CT angiography (CTA) around the right coronary artery (RCA) is a promising biomarker to detect coronary inflammation and relates to cardiac mortality. We aimed to investigate the yet unclear association between CT-derived characterisation of different cardiac adipose tissue compartments and the presence of myocardial ischemia as assessed by fractional flow reserve (FFR).

Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification-A Deep Learning Based Approach Using Fully Automated Body Composition Analysis.

(1) Background: Epi- and Paracardial Adipose Tissue (EAT, PAT) have been spotlighted as important biomarkers in cardiological assessment in recent years. Since biomarker quantification is an increasingly important method for clinical use, we wanted to examine fully automated EAT and PAT quantification for possible use in cardiovascular risk stratification. (2) Methods: 966 patients with intermediate Framingham risk scores for Coronary Artery Disease referred for coronary calcium scans were included in clinical routine retrospectively. The Coronary Artery Calcium Score (CACS) was extracted and tissue quantification was performed by a deep learning network. (3) Results: The Computed Tomography (CT) segmentations predicted by the network indicated no significant correlation between EAT volume and EAT radiodensity when compared to Agatston score (r = 0.18, r = −0.09). CACS 0 category patients showed significantly lower levels of total EAT and PAT volumes and higher EAT and PAT densities than CACS 1–99 category patients (p < 0.01). Notably, this difference did not reach significance regarding EAT attenuation in male patients. Women older than 50 years, thus more likely to be postmenopausal, were shown to be at higher risk of coronary calcification (p < 0.01, OR = 4.59). CACS 1–99 vs. CACS ≥100 category patients remained below significance level (EAT volume: p = 0.087, EAT attenuation: p = 0.98). (4) Conclusions: Our study proves the feasibility of a fully automated adipose tissue analysis in clinical cardiac CT and confirms in a large clinical cohort that volume and attenuation of EAT and PAT are not correlated with CACS. Broadly available deep learning based rapid and reliable tissue quantification should thus be discussed as a method to assess this biomarker as a supplementary risk predictor in cardiac CT.

Are Doses of Radiation to the Cardiovascular Adipose Tissue Significant for Survival in Patients with Non-Small Cell Lung Cancer?

Adipose tissue surrounding the heart is important in heart physiology and pathogenesis of cardiovascular diseases, has not been studied for damage from radiotherapy. We hypothesize that doses of radiation to the different parts of adipose tissue around the heart are important for heart damage, which are thus associated with survival in patients treated with thoracic radiation for non-small cell lung cancer (NSCLC). This is a secondary analysis of patients enrolled in prospective studies treated with definitive radiotherapy. The patients of I∼III stages treated with SBRT or IMRT (doses range from 50Gy to 85Gy) were included. Heart and pericardium were contoured consistently according to the RTOG1106 Atlas. Quantification of adipose tissue was semi-automatic contouring with CT imaging. Adipose tissue structures were defined and contoured according to the following three parts: Epicardial adipose tissue (EAT), paracardial adipose tissue (PAT) and post-mediastinal adipose tissue (pMAT). EAT is epicardial fat defined as adipose tissue surrounding the heart, located between the myocardium and the visceral pericardium. PAT is adipose tissue located external to the parietal pericardium, while pMAT refers to the fat tissue in posterior mediastinum. Clinical factors and dose-volume parameters associated with overall survival (OS) were identified via Cox proportional hazards model using SPSS 17.0 software. R (Version 3.6.2) was used to determine the optimal cut-off values of continuous variable. Log-rank tests were then performed using the cut-off splits for each variable. Mean dose of EAT was 16.3Gy (range 0.4-47.4), PAT was 19.9Gy (range 2.03-40.41), and pMAT was 15.0 Gy (range 0.9-56.4). Median follow-up time was 44.2 months, the median OS was 41.7 months, and 3-year OS rate was 52.8% (95% CI 37.9-67.7). Under univariate analysis, a trend of association was observed between OS and PAT, significant better OS in patients mean dose of PAT <18.3 Gy (HR 2.490, 95%CI 0.969-6.402, p = 0.058). There was no significant effect in OS for mean dose of EAT (p = 0.252) and pMAT (p = 0.103). Under multivariable analysis, mean doses of PAT and pMAT were significantly associated with OS (HR 3.835, 95%CI 1.237-11.895, p = 0.020; HR 2.511, 95%CI 1.014-6.216, p = 0.046, respectively), while mean doses of EAT, conventional heart and pericardium were not. Log-rank tests showed PAT<18.3 Gy group had a better OS than PAT≥18.3 Gy group (p = 0.05). This is the first study examine the effect of adipose tissue, revealing that the mean doses of PAT and pMAT were significantly associated with OS in this study of limited number of patients. This finding suggests the potential significance of radiation damage to the paracardial region of adipose tissue and demands future prospective study.

Epicardial adipose tissue is a predictor of ascending aortic dilatation in hypertensive patients, but not paracardial adipose tissue

BackgroundAscending aortic aneurysms are one of the major causes of mortality. In recent years, there is a growing interest of epicardial adipose tissue (EAT) and related diseases. The aim of this study was to investigate the relationship of EAT, and PAT with ascending aortic dilatation (AAD).MethodsWe included 934 patients with hypertension in this study. The patients were evaluated by a complete transthoracic echocardiographic examination, including measurements of EAT, PAT, and aortic dimensions. Aortic size index (ASI) was used for diagnosing AAD. The patients were divided into two groups: dilated ascending aorta diameter (ASI ≥ 21 mm / m2, n = 102) or normal aortic diameter (ASI < 21 mm / m2, n = 832) according to the ASI. Characteristics of these patients were compared before and after propensity score matching analysis.ResultsPatients with AAD were older (72.3 ± 11.6 vs. 61.7 ± 12.7 years, p < 0.001), had more female gender (66% vs. 54%,p = 0.021) than patients with normal ascending aorta (AA). After propensity score matching analysis (77 vs. 77), EAT [OR:1.461, %95CI (1.082–1.974), p = 0.013] was independently associated with AAD in multivariate logistic regression analysis. In ROC curve analysis, EAT > 0.45 cm had 51.9% sensitivity and 62.3% specificity [AUC = 0.617, P = 0.012, 95% CI (0.529–0.707)].ConclusionBased on our findings, increased EAT may be suggested as an independent risk factor for AAD due to local or systemic effects in hypertensive patients.

Heart fat and carotid artery atherosclerosis progression in recently menopausal women: impact of menopausal hormone therapy: The KEEPS trial

Heart fat deposition has been linked to atherosclerosis, and both accelerate after menopause. Hormone therapy (HT) may differentially slow heart fat deposition and progression of atherosclerosis, depending on the specific HT agent or its route of administration. Our objective was to evaluate the effects of different HT agents, oral and transdermal, on associations between heart fat accumulation and atherosclerosis progression, measured by carotid intima-media thickness (CIMT), in recently menopausal women from the Kronos Early Estrogen Prevention Study (KEEPS) trial. KEEPS was a randomized, placebo-controlled trial of the effects of 0.45 mg/d oral conjugated equine estrogens (o-CEE) or 50 mcg/d transdermal 17β-estradiol (t-E2), compared with placebo, on 48 months progression of CIMT. Epicardial adipose tissue (EAT) and paracardial adipose tissue (PAT) volumes were quantified by computed tomography. In all, 467 women (mean age [SD] 52.7 [2.5]; 78.2% White; 30% on o-CEE, 30.8% t-E2, 39.2% placebo) with heart fat volumes and CIMT at baseline and 48 months were included. EAT and PAT changes were not associated with CIMT progression; however, the assigned treatment significantly modified the association between PAT (but not EAT) change and CIMT progression. In the o-CEE group, adjusted CIMT progression was 12.66 μm (95% confidence interval [CI] 1.80, 23.52) lower than in t-E2 group (P = 0.02), and 10.09 μm (95% CI 0.79, 19.39) lower than in placebo group (P = 0.03), as per 1-SD increase in PAT. Compared with t-E2, o-CEE appears to slow down the adverse effect of increasing PAT on progression of atherosclerosis. Whether this beneficial association is specific to CEE or to the oral route of CEE administration is unclear and should be assessed further.

Cardiac MRI measurements of pericardial adipose tissue volumes in patients on in-centre nocturnal hemodialysis.

Conversion from conventional hemodialysis (CHD) to in-centre nocturnal hemodialysis (INHD) is associated with left ventricular (LV) mass regression, but the underlying mechanisms are not fully understood. Using cardiac MRI (CMR), we examined the effects of INHD on epicardial adipose tissue (EAT) and paracardial adipose tissue (PAT), and the relationships between EAT, PAT and LV remodeling, biomarkers of nutrition, myocardial injury, fibrosis and volume. We conducted a prospective multicenter cohort study of 37 patients transitioned from CHD to INHD and 30 patients on CHD (control). Biochemical markers and CMR were performed at baseline and 52weeks. CMR images were analyzed by independent readers, blinded to order and treatment group. Among 64 participants with complete CMR studies at baseline (mean age 54; 43% women), there were no significant differences in EAT index(60.6 ± 4.3mL/m2 vs 64.2 ± 5.1mL/m2, p = 0.99) or PATindex (60.0 ± 5.4mL/m2 vs 53.2 ± 5.9mL/m2, p = 0.42) between INHD and CHD groups. Over 52weeks, EATindex and PAT indexdid not change significantly in INHD and CHD groups (p = 0.21 and 0.14, respectively), and the changes in EATindex and PATindex did not differ significantly between INHD and CHD groups (p = 0.30 and 0.16, respectively). Overall, changes in EAT indexinversely correlated with changes in LV end-systolic volume index (LVESVI) but not LV end-diastolic volume index (LVEDVI), LV mass index (LVMI), and LV ejection fraction (LVEF). Changes in PATindex inversely correlated with changes in LVESVI, LVMI and positively correlated with changes in LVEF. There were no correlations between changes in EAT indexor PAT indexwith changes in albumin, LDL, triglycerides, troponin-I, FGF-23, or NT-proBNP levels over 52weeks (all p > 0.30). INHD was not associated with any changes in EATindex and PATindex over 12months. Changes in EATindex were not significantly associated with changes in markers of LV remodeling, nutrition, myocardial injury, fibrosis, volume status. In contrast, changes in PATindex, which paradoxically is expected to exert less paracrine effect on the myocardium, were correlated with changes in LVESVI, LVMI and LVEF. Larger and longer-term studies may clarify the role of PAT in cardiac remodeling with intensified hemodialysis. CLINICALTRIALS. NCT00718848.

Quantification of Epicardial and Thoracic Adipose Tissue using WOA Optimized CNN

Cardiac fat depots are associated with the heart diseases. Epicardial fat and thoracic fat plays the major role in the development of cardiovascular disease. The increased thickness of the epicardial and thoracic fat leads to several diseases such as metabolic syndrome, coronary atherosclerosis, etc. It is necessary to quantify the epicardial adipose tissue and thoracic adipose tissue. There are different imaging and assessing techniques for epicardial and thoracic adipose tissue quantification. These tissues can be quantified automatically or manually from the CT and MRI cardiac scans. The quantification of the epicardial fat and thoracic fat requires segmentation of these fats by various segmentation methods and then they are quantified. This project proposes the fully automatic segmentation and quantification of the epicardial and thoracic adipose tissues from the cardiac CT scan images using the krill herd optimization algorithm and fuzzy c-means segmentation algorithm. The whale optimization algorithm performs the feature selection process. The fuzzy cmeans algorithm is used for the segmentation process by means of clustering which segments the epicardial fat and paracardial adipose tissue(EAT &amp;PAT) from the input image. The segmented epicardial and paracardial fat region are then used for the quantification process which provides the epicardial and thoracic fat volume. The thoracic fat is the combination of the epicardial and paracardial fat. This proposed system is implemented by using the MATLAB code. The proposed system is simple, fully automatic and produces accurate results.

Effects of Hormone Therapy on Heart Fat and Coronary Artery Calcification Progression: Secondary Analysis From the KEEPS Trial.

BackgroundHeart fats (epicardial and paracardial adipose tissue [PAT]) are greater after menopause. Endogenous estrogen may regulate these fat depots. We evaluated the differential effects of hormone therapy formulations on heart fat accumulations and their associations with coronary artery calcification (CAC) progression in recently menopausal women from KEEPS (Kronos Early Estrogen Prevention Study).Methods and Results KEEPS was a multicenter, randomized, placebo‐controlled trial of the effects of 0.45 mg/d oral conjugated equine estrogens and 50 µg/d transdermal 17β‐estradiol, compared with placebo, on 48‐month progression of subclinical atherosclerosis among 727 early menopausal women. CAC progression was defined if baseline CAC score was 0 and 48‐month CAC score was >0 or if baseline CAC score was >0 and <100 and annualized change in CAC score was ≥10. Of 727 KEEPS participants, 474 (mean age: 52.7 [SD: 2.6]; 78.1% white) had computed tomography–based heart fat and CAC measures at both baseline and 48 months. Compared with women on placebo, women on oral conjugated equine estrogens were less likely to have any increase in epicardial adipose tissue (odds ratio for oral conjugated equine estrogens versus placebo: 0.62 [95% CI, 0.40–0.97]; P=0.03). PAT did not change in any group. Changes in epicardial adipose tissue and PAT did not differ by treatment group. CAC increased in 14% of participants. The assigned treatment modified the association between PAT changes and CAC progression (P=0.02) such that PAT increases were associated with CAC increases only in the transdermal 17β‐estradiol group.ConclusionsIn recently menopausal women, oral conjugated equine estrogens may slow epicardial adipose tissue accumulation, whereas transdermal 17β‐estradiol may increase progression of CAC associated with PAT accumulation.Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00154180.

Increased epicardial adipose tissue in young adults with congenital heart disease comorbid with major depressive disorder

ObjectiveCongenital heart disease is the most common congenital malformation. In adult congenital heart disease (ACHD), the prevalence of major depressive disorder (MDD) is increased. Beyond its immanent health risks, increased epi‑ and paracardial adipose tissue has been described in MDD. Epicardial adipose tissue (EAT) is a fat depot surrounding the heart, and it is hypothesized to be associated with coronary artery disease, left-ventricular dysfunction and atrial fibrillation, being frequent problems in ACHD long-term management. We here examined whether EAT is increased in depressed patients with ACHD. MethodsTwo-hundred and ten ACHD outpatients (mean age 35.5y, 43% female) were included. MDD was diagnosed according to DSM-IV criteria using expert interviews. EAT was measured using echocardiography. Further assessments comprised NT-proBNP, left and right ventricular end-diastolic diameter, left-ventricular ejection fraction, smoking behavior and physical activity. ResultsOf 210 patients, 53 (25.2%) were diagnosed with MDD. EAT was increased in depressed ACHD (F = 5.04; df = 1; p = 0.026). Depressed male patients were less physically active (p < 0.05) and smoked more cigarettes (p < 0.05). EAT was positively predicted by depression severity (p = 0.039), body mass index (p < 0.001), and negatively predicted by physical activity (p = 0.019). ConclusionsThe presence of MDD is associated with an increased amount of EAT in ACHD, and is dependent on depression severity. Further, the amount of EAT is at least in part mediated by a more sedentary lifestyle. Given the long-term health risks associated with increased EAT, interventions aiming at increased physical activity, smoking cessation and early identification of comorbid MDD may be recommended in ACHD.