scholarly journals DeepFat: Deep Learning Segmentation and Quantification Method for Assessing Epicardial Adipose Tissue in CT Calcium Score Scans

Author(s):  
Ammar Hoori ◽  
Tao Hu ◽  
Juhwan Lee ◽  
Sadeer Al-Kindi ◽  
Sanjay Rajagopalan ◽  
...  

Abstract Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we developed a method (DeepFat) for the automatic assessment of EAT on non-contrast low-dose CT calcium score images using deep learning. We segmented the tissue enclosed by the pericardial sac on axial slices, using two innovations. First, we applied a HU‑attention-window with a window/level 350/40-HU to draw attention to the sac and reduce numerical errors. Second, we applied look ahead slab-of-slices with bisection (“bisect”) in which we split the heart into halves and sequenced the lower half from bottom-to-middle and the upper half from top-to-middle, thereby presenting an always increasing curvature of the sac to the network. EAT volume was obtained by thresholding voxels within the sac in the fat window (-190/-30-HU). Compared to manual segmentation, our algorithm gave excellent results with volume Dice=88.52%±3.3, slice Dice=87.70%±7.5, EAT error=0.5%±8.1, and R=98.52%(p<0.001). HU-attention-window and bisect improved Dice volume scores by 0.49% and 3.2% absolute, respectively. Extensive augmentation improved results. Variability between analysts was comparable to variability with DeepFat. Results compared favorably to those of previous publications.

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Hiroto Utsunomiya ◽  
Hideya Yamamoto ◽  
Atsushi Shimada ◽  
Toshiro Kitagawa ◽  
Takayuki Hidaka ◽  
...  

Background: Recent publications suggested that epicardial adipose tissue (EAT) contributes to the pathogenesis of coronary atherosclerosis. Although some studies showed the association between EAT accumulation and left ventricular (LV) diastolic dysfunction, these associations are not fully understood. Methods: We evaluated 153 patients without coronary artery disease who underwent coronary computed tomography (CT) angiography and Doppler echocardiography. We evaluated 153 patients (mean age of 60 years and 54% men) with zero coronary artery calcium score in coronary CT. Visceral adipose tissue (VAT) area was simultaneously measured by abdominal scans, and EAT volume was also calculated. These measurements were corrected by body surface area; VAT area index (VATAI), and EAT volume index (EATVI). The early diastolic mitral annular velocity at the septal (septal E’) and lateral (lateral E’) were measured using tissue Doppler echocardiography. Results: The mean values of BMI, VATAI, EATVI, and LVMI were 23.7 ± 3.8 kg/m 2 , 52.6 ± 26.4 cm 2 /m 2 , 71.3 ± 29.8 cm 3 /m 2 , and 83.3 ± 17.7 g/m 2 , respectively. The mean septal E’ and lateral E’ velocities were 7.2 ± 2.2 cm/s and 9.8 ± 2.9 cm/s, respectively. Each E’ velocity was negatively correlated with EATVI (septal, R = 0.276, p < 0.001; lateral, R = 0.342, p < 0.001) and VATAI (septal, R = 0.241, p = 0.03; lateral, R = 0.255, p = 0.002; Figure). In contrast, each E’ velocity was not correlated with LVMI (septal, R = 0.161, p = 0.03; lateral, R = 0.118, p = 0.14) and BMI (septal, R = 0.182, p = 0.03; lateral, R = 0.152, p = 0.06). To determine each E’ velocity, we performed stepwise multiple regression analyses where all clinical parameters were entered. Diastolic blood pressure (p = 0.014), statin use (p = 0.011), LVMI (p = 0.003), and EATVI (p = 0.004) were independently correlated with septal E’ velocity, and statin use (p = 0.024), LVMI (p = 0.011), and EATVI (p < 0.001) were independently correlated with lateral E’ velocity. Conclusion: An increase in EATVI was associated with the decrease of early diastolic mitral annular velocity along each side of the left ventricle in patients with coronary calcium score of zero. These findings indicate that EAT accumulation may cause LV diastolic dysfunction in the early phase of coronary artery disease.


QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
A El Etriby ◽  
A El sherbiny ◽  
R Remone ◽  
A Mamdouh

ABSTRACT The authors in that article addressed a very important and relevant issue. Background Epicardial adipose tissue (EAT) is a complex endocrine organ that plays an important role in the development of unfavorable metabolic and cardiovascular risk profile. EAT may express a variety of inflammatory mediators which may contribute to the pathogenesis of coronary artery disease (CAD). Aortic and mitral valve calcification may reflect generalized atherosclerosis in the elderly and may be a marker of high prevalence and severity of CAD. There is a direct correlation (extent, severity and the future CV events) between the coronary artery calcium and the CAD. Aim and Objectives To correlate peri-coronary epicardial adipose tissue and coronary artery calcification and valvular (aortic and mitral) calcification with the severity of the coronary artery disease. Patients and Methods The study recruited 200 patients with suspected coronary artery disease. The amount of EAT surrounding the left main and the three main coronary arteries was quantified in axial cuts with the most distinct layer of EAT. The amount of calcium in the aortic and mitral valve and the coronaries were quantified with multi-detector computed tomography MDCT using dedicated software for measuring calcium score that is based on Agatson score. Coronary artery disease severity was assessed in terms of number of vessels affected and the severity of coronary stenosis by multi-planner reformation technique. Results Based on the finding of the MDCT and according to the presence of calcification in the aortic or the mitral valves, and the significance of the coronary artery disease, patients were classified into two groups, group (I): 115 patients with normal coronaries or with non significant lesions in their coronaries, and group (II): 85 patients with significant coronary artery disease. The Mean ± SD (in millimeters) of EAT for the entire study cohort in various coronary artery locations were as follows: LM EAT 9.82 ± 2.67, proximal LAD EAT 10.06 ± 2.80, mid LAD EAT 9.15 ± 2.41, distal LAD EAT 6.46 ± 1.87, proximal LCX EAT 8.10 ± 1.90, distal LCX EAT 6.83 ± 1.79, proximal RCA EAT 10.23 ± 2.42, mid RCA EAT 9.26 ± 2.72, distal RCA EAT 7.25 ± 2.58. Statistically highly significant difference was observed between the two groups with regards to LM EAT, proximal, mid and distal LAD EAT, proximal and distal LCX EAT, proximal, mid and distal RCA EAT (8.38 ± 2.18 Vs 11.77 ± 1.94 P: 0.000, 8.49 ± 2.21 Vs 12.18 ± 2.00, 7.93 ± 1.77 Vs 10.81 ± 2.16, 5.45 ± 1.26 Vs 7.82 ± 1.68 P: 0.000, 7.08 ± 1.34 Vs 9.46 ± 1.67, 6.05 ± 1.50 Vs 7.89 ± 1.61 P: 0.000, 9.01 ± 1.94 Vs 11.88 ± 1.99, 8.07 ± 2.32 Vs 10.86 ± 2.39, 6.31 ± 2.26 Vs 8.51 ± 2.45 P: 0.000; respectively). Statistically highly significant difference was observed between the two groups with regards calcium score and the severity of CAD in the three major vessels (LAD, LCX and RCA) and the total calcium score in all vessels (35 (16 – 85.5) Vs 179.5 (59.5 – 243) P: 0.000, 20.5 (7 – 50.5) Vs 56 (33 – 95) P: 0.000, 31 (9 – 54) Vs 97 (54 – 199) P: 0.000, 12 (0 – 84) Vs 286 (106 – 511) P:0.000; respectively) while calcium score in the LM was not statistically significant with the severity of CAD (4 (3 – 26) Vs 12 (9 – 16) P: 0.360). As regards aortic valve calcification there was statistically highly significant difference between the two groups; P value 0.000, while mitral valve calcification was found to be not statistically significant between the two groups P: 0.272. Conclusion The present study demonstrated a significant correlation between the peri-coronary epicardial adipose tissue, coronary calcification and aortic valve calcification and the severity of the coronary artery disease.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
I Khan ◽  
I Eskerud ◽  
T H Larsen ◽  
C A Berge ◽  
E R Pedersen ◽  
...  

Abstract Introduction Increased left ventricular mass index (LVMi) and left ventricular hypertrophy (LVH) by echocardiography are common in obesity and important cardiovascular risk predictors associated with myocardial ischemia in non-obstructive coronary artery disease (CAD). Accumulation of epicardial adipose tissue (EAT) suggest a possible direct impact on LVMi and LVH. Purpose To explore the association between EAT volume, LVMi and LVH in patients with chest pain and non-obstructive CAD. Methods We included 129 patients with chest pain and non-obstructive CAD (&lt;50% stenosis) by coronary computed tomography (CT) angiography. EAT volume was quantified using a semiautomatic analysis software on non-contrast cardiac CT images. Patients were grouped according to EAT volume, where high EAT volume was adjudicated when EAT volume was in the highest tertile (≥125 ml). Left ventricular mass was assessed by echocardiography, calculated by the Devereux formula and indexed for height in the allometric power of 2.7 (LVMi). LVH was defined as LVMi &gt;46.7 g/m2.7 in women and &gt;49.2 g/m2.7 in men. Coronary artery plaque burden was assessed as calcium score and segment involvement score on coronary CT angiography. Results High EAT volume was more common in men with higher BMI, waist circumference, serum triglycerides and higher prevalence of hypertension and obesity (all p&lt;0.05). Age, coronary calcium score and coronary artery segment involvement score did not differ between groups. Patients with high EAT volume had higher LVMi compared to those with low EAT volume (42.5 g/m2.7 vs. 36.1 g/m2.7, p=0.003), while there was no difference in EAT volume among patients with or without LVH. In univariable logistic regression analysis, high EAT volume was associated with higher LVMi (OR 1.05 [95% CI 1.01–1.10] per g/m2.7, p=0.015). After adjusting for hypertension and obesity in a multivariable model, higher LVMi remained significantly associated with high EAT volume (Model 1, Table 1), but the association was attenuated after adjusting for sex (Model 2, Table 1). Conclusion High EAT volume was associated with increased LVMi in patients with non-obstructive CAD, independent of hypertension and obesity, while there was no association with LVH. This suggest that direct infiltration of adipose tissue in the myocardium may contribute to the development of increased LVMi. FUNDunding Acknowledgement Type of funding sources: Public Institution(s). Main funding source(s): Western Norwegian Regional Health Authorities Table 1


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 469-P
Author(s):  
MILOS MRAZ ◽  
ANNA CINKAJZLOVA ◽  
ZDENA LACINOVÁ ◽  
JANA KLOUCKOVA ◽  
HELENA KRATOCHVILOVA ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guillaume Foldes-Busque ◽  
Clermont E. Dionne ◽  
Stéphane Turcotte ◽  
Phillip J. Tully ◽  
Marie-Andrée Tremblay ◽  
...  

Abstract Background Anxiety is associated with poorer prognosis in patients with coronary artery disease (CAD). Due to their severity and chronic course, anxiety disorders, particularly generalized anxiety disorder (GAD) and panic disorder (PD), are of considerable interest and clinical importance in this population. This study has two main objectives: (1) to estimate the prevalence and incidence of GAD and PD in patients with CAD over a 2-year period and (2) to prospectively assess the association between PD or GAD and adverse cardiac events, treatment adherence, CAD-related health behaviors, quality of life and psychological distress. Design/Method This is a longitudinal cohort study in which 3610 participants will be recruited following a CAD-related revascularization procedure. They will complete an interview and questionnaires at 5 time points over a 2-year period (baseline and follow-ups after 3, 6, 12 and 24 months). The presence of PD or GAD, adherence to recommended treatments, health behaviors, quality of life and psychological distress will be assessed at each time point. Data regarding mortality and adverse cardiac events will be collected with a combination of interviews and review of medical files. Discussion This study will provide essential information on the prevalence and incidence of anxiety disorders in patients with CAD and on the consequences of these comorbidities. Such data is necessary in order to develop clear clinical recommendations for the management of PD and GAD in patients with CAD. This will help improve the prognosis of patients suffering from both conditions.


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