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Objectives:The purpose of this study was to explore the relationship between the of pericardial adipose tissue (PAT) volume and cardiovascular disease risk factors and energy consumption. Methods:From September 2014 to December 2015,we enrolled 152 inpatients underwent coronary artery CT examination due to suspected coronary heart disease in the Hospital on Integration of Chinese and Western Medicine Affiliated to Nanjing University of Chinese Medicine.The volume of PAT was assessment by 64-slice CT, the energy consumption was assessment by the International Physical Activity Questionnaire. The clinical data, biochemical indexes, PAT volume were analyzed. Results : (1) PAT volume was significantly correlated with age, gender, BMI, HOMA-IR, FPG, HDL-C, TG, total physical activity energy consumption, total middle intensity physical activity energy consumption, total energy consumption of sedentary (P<0.05 or P<0.001); (2) PAT volume of patients with insulin resistance was significantly higher than those without insulin resistance; (3) Multiple regression analysis revealed that age, gender, BMI, total middle intensity physical activity energy consumption were independent predictors of PAT volume. Conclusions: Pericardial adipose tissue (PAT) volume is associated with age, gender, systolic blood pressure, BMI, total middle intensity physical activity energy consumption.
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Objective To measure the volume of pericardial adipose tissue (PAT) by a photons dual-source computed tomography (CT) (Somatom Definition Flash CT), and to analyze and evaluate the effects of pericardial adipose tissue volume on coronary artery imaging. Methods There were 123 patients with suspected coronary heart disease (CHD) who underwent CT coronary angiography (CTA) from February 2016 to August 2016 in our hospital were enrolled. According to the body mass index (BMI) of the patient, the tube current was set in the range of 100～400 mA and tube voltage was 100～120 kV. All the patients were divided into six groups from low to high based on the measured pericardial adipose tissue volumes. The coronary CTA imaging quality was evaluated by subjective scoring and objective comparison by calculating the signal-to-noise ratio and comparing the contrast-to-noise ratio. Statistical analysis was performed using Kmskal-Wallis rank sum test and Pearson correlation analysis. Results There was no significant difference in subjective scoring between different PAT groups (all P>0.05). There was no significant correlation between PAT content and signal-noise ratio and contrast noise ratio (P>0.05). Conclusions The pericardial adipose tissue volume has no significant effect on coronary artery CTA imaging.
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Objective:To research the application value of coronary CT angiography(CTA) detection for epicardial adipose tissue(EAT) and pericardial adipose tissue(PAT) in the diagnosis of coronary stent restenosis.Method:Selected 68 cases coronary atherosclerotic stenosis patients who were treated by coronary stent from June 2012 to June 2013 in hospital. All patients were detected after the operation of CTA within 3 years and they were divided into two groups (coronary stent restenosis positive group included 29 cases, negative group included 39 cases). To analyze the relationship between EAT and PAT through the statistical method and analyze the application value of EAT and PAT in the diagnosis of coronary stent restenosis based on calcification score image measurement of EAT and PAT volume.Results: Correlation analysis results showed there was correlation between EAT volume and PAT volume (r=0.859,P<0.05); through compared CAG and the diagnostic results of coronary artery stent restenosis by EAT and PAT, the sensitivity was 82.87%, specificity was 84.62%, CCTA positive predictive value was 80.00%, negative predictive value was 86.84% and diagnostic accuracy was 83.82% of the stent patency which was evaluated by CAG. The consistency evaluation marker Kappa was 0.554. The analysis of patients with coronary stent restenosis showed that there was significant correlation between Gensini score of coronary stent restenosis and EAT and PAT(P<0.05).Conclusion:There was significant correlation between EAT volume and PAT volume, and they can be used to evaluate the sensitivity and specificity of coronary stent operation restenosis and the results were higher. Besides, its clinical diagnostic value was similar with CAG.
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OBJECTIVE: There has been a limited investigation looking into the correlation between pericardial fat and abdominal fat with coronary artery disease (CAD) as measured by coronary computed tomographic angiography (CCTA). We proposed that the volume of pericardial fat is larger in patients with CAD than in patients without CAD, and sought to determine which abdominal adiposity index best correlated with pericardial fat volume. METHODS: Participants were examined using CCTA between October 2007 and January 2008. All participants had no previous history of CAD. Pericardial adipose tissue (PAT) volume, abdominal total adipose tissue volume, abdominal subcutaneous adipose tissue volume, and abdominal visceral adipose tissue (AVAT) volume were measured using CCTA. RESULTS: Fifty patients (26.5%) demonstrated CAD, and 139 patients did not demonstrate CAD by CCTA. PAT volume in patients with CAD was larger than that of patients without CAD (173.2+/-64.2 cm3 vs. 147.6+/-50.4 cm3, p<0.01). However, indices of abdominal adiposity were not significantly different between the two groups. Using multivariable analysis, independent predictors of CAD were PAT volume (odds ratio [OR] 1.01, 95% confidence interval [CI] 1.00-1.02, p=0.04), coronary artery calcium score (OR 1.01, 95% CI 1.00-1.01, p<0.01), and typical chest pain (OR 4.88, 95% CI 1.47-16.21, p=0.01). AVAT volume showed a linear correlation with PAT volume. CONCLUSION: PAT volume was an independent predictor of CAD as measured by CCTA. PAT volume was also well correlated with the AVAT volume among the indices of abdominal adiposity.