Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population

Khurana, Rishabh; Yadav, Anurag; Buxi, T. B. S.; Sawhney, J.P.S.; Rawat, Kishan Singh; Ghuman, Samarjit Singh

doi:10.1016/j.ihj.2018.08.009

Cited by 14 publications

(13 citation statements)

References 30 publications

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“…There was a significant correlation between mean age and coronary calcium score between the CAD-present/-absent groups and significant CAD-present/-absent groups, similarly to the study done by Khurana et al . [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

Can epicardial and pericardial adipose tissue volume predict the presence and severity of coronary artery disease?

Panda¹,

Vimala²,

Livingstone³

et al. 2022

Pol J Radiol

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Purpose Excessive accumulation of free fatty acids in the coronary arteries can lead to coronary artery disease (CAD). Quantification of epicardial adipose tissue (EAT) and pericardial adipose tissue (PAT) is beneficial to understand its relationship with CAD, hypertension (HT), and diabetes. Material and methods This retrospective study included 54 patients who underwent CT coronary angiogram using a multidetector row CT scanner. The EAT and PAT volumes from cardiac images were quantified using Image J software. The severity of CAD was graded using the CAD-RADS score. Results Twenty-nine patients had no CAD, 21 patients had significant CAD, and 4 patients had insignificant CAD. Out of 21 patients with significant CAD, 14 had involvement of multiple coronary arteries. The EAT and PAT volumes were higher in patients with HT, DM, CAD-present group and significant-CAD-present group, but this was not statistically significant except the PAT volume with respect to diabetes. Significant correlation was found between EAT volume and calcium score ( p = 0.035) and between EAT volume and total cholesterol level ( p = 0.017). Significant differences in the EAT volumes were found in different CAD-RADS categories in the right coronary artery (RCA). From the threshold values, it was observed that CAD can develop in LAD even at lower of EAT and PAT volumes. Conclusions Quantification of EAT and PAT volumes is beneficial in understanding its relationship with the presence and severity of coronary artery disease and its risk factors.

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Section: Discussionmentioning

confidence: 99%

Can epicardial and pericardial adipose tissue volume predict the presence and severity of coronary artery disease?

Panda¹,

Vimala²,

Livingstone³

et al. 2022

Pol J Radiol

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“…However, when the amount of epicardial fat increases, it becomes hypoxic and dysfunctional due to increased lipolysis and inflammation and alters hemostasis. As a result, it causes atherosclerosis and the formation of atherosclerotic plaque 15 .…”

Section: Discussionmentioning

confidence: 99%

“…In many studies in the literature using epicardial fat volume, pericardial fat volume and epicardial adipose tissue thickness, a strong positive correlation was found between coronary artery stenosis and ischemic lesions and the amount of adipose tissue 13,15,19,21 . In the study conducted by Du et al, pericardial fat volume was found to be higher in patients with significant stenosis and ischemic lesions compared to those without 22 .…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Relationship Between Epicardial Fat Tissue Area and Coronary Atherosclerosis

Korkmaz¹

2021

jamp

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In our study, it was aimed to investigating the correlation between the quantity of epicardial adipose tissue with the development of coronary atherosclerosis and coronary artery disease. In this retrospective research we used Cardiac CT Angiography images of 40 patients (age range 23-80, 30 males, 10 females). The area of epicardial adipose tissue and total calcium score values were measured. All the patients were examined for obstructive coronary artery disease. Epicardial adipose tissue areas were measured in the level of the left main coronary artery. The data obtained were analyzed with SPSS program. 13 patients were found positive for Ca score and coronary stenosis was dedected in 18 patients. There is independent correlation between the area of epicardial adipose tissue and; age and total calcium score (age: p=0.003, total calcium score: p=0.020). Based on results and statiscal analysis, the area of epicardial adipose tissue was found statistically significant among the patients, who have positive Ca score (p=0.017) and coronary artery stenosis (p=0.019). As result, based on the outcomes of this study, it can be concluded that the increase of epicardial adipose tissue has significant impact on occurence of coronary artery stenosis and calcific-atherosclerotic changes. Also, for the calculation of epicardial adipose tissue quantity, the measurement of cross section area from left main coronary artery surface is a good alternative to have an easiness of measurement as well as total volume of epicardial adipose tissue.

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“…Double-sector scanning (snapshot burst), large-scale scanning, or four-sector scanning (snapshot burst plus) were chosen, when the heart rate was >75 beats/min. 320 ml or 400 mg/L nonionic contrast medium (Onepak or Ultravist) was injected into the anterior elbow vein [11], and the flow rate was 4∼5 ml/s. e aortic root was scanned continuously with a delay of eight seconds and a scanning cycle of two seconds.…”

Section: Multislice Spiral Ct Coronary Angiographymentioning

confidence: 99%

Optimized Reconstruction Algorithm-Processed CT Image in the Diagnosis of Correlation between Epicardial Fat Volume and Coronary Heart Disease

Xue

Jing

2022

Scientific Programming

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This study was to analyze the application value of a reconstruction algorithm in CT images of patients with coronary heart disease and analyze the correlation between epicardial fat volume and coronary heart disease. An optimized reconstruction algorithm was constructed based on compressed sensing theory in this study. Then, the optimized algorithm was applied to the image reconstruction of multislice spiral CT image data after testing its sensitivity, accuracy, and specificity. 60 patients with suspected angina pectoris were divided into lesion group (40 cases) and normal group (20 cases) according to whether there were coronary atherosclerotic plaques in cardiac vessels. The results showed that the sensitivity, specificity, and accuracy of the optimized reconstruction algorithm were 91.78%, 84.27%, and 95.32%, and the running time was (12.18 ± 2.49) s. The CT value of the liver and the CT ratio of the liver and spleen in the lesion group were (53.81 ± 5.91) and (3.88 ± 0.67), respectively. There was no significant difference between the two groups ( P > 0.05 ). The body mass index and epicardial fat volume in the lesion group were (31.93 ± 4.54) kg/m2 and (120.09 ± 22.01) cm3, respectively. The body mass index and fat volume in the lesion group were significantly higher than those in the normal group ( P < 0.05 ). The epicardial fat constitution increased with the increase of the number of coronary arteries involved, and there was a positive correlation between them. Among patients with different coronary atherosclerotic plaques, the epicardial fat volume in patients with mixed plaques was the largest ( P < 0.05 ). In summary, optimizing CT images under compressed a sensing reconstruction algorithm could effectively improve the diagnostic accuracy of doctors. Epicardial fat volume was positively correlated with coronary heart disease. Epicardial fat volume could be used as one of the important indexes to predict coronary heart disease.

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Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population

Cited by 14 publications

References 30 publications

Can epicardial and pericardial adipose tissue volume predict the presence and severity of coronary artery disease?

Can epicardial and pericardial adipose tissue volume predict the presence and severity of coronary artery disease?

Evaluation of the Relationship Between Epicardial Fat Tissue Area and Coronary Atherosclerosis

Optimized Reconstruction Algorithm-Processed CT Image in the Diagnosis of Correlation between Epicardial Fat Volume and Coronary Heart Disease

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