title: Analyzing correlation between epicardial fat area and metabolic syndrome risk factor by using low-dose Lung CT.
abstract: OBJECTIVE
  To study about the blood count of a risk factor related to physical measurement and metabolic syndrome, and the area of epicardial fat for medical checkup patients.
  
  
  METHODS
  From April 1(st) to November 15(th) in 2014, we measured the area of epicardial fat in the adult out patients under 60 years of age, who are in good health; and the patients took the blood test and low-dose lung CT. In order to identify the relationship between the area of epicardial fat and the risk factor of metabolic syndrome, we conducted correlation analysis. Then, we performed multiple regression analysis to evaluate an independent correlation of epicardial area. In addition, we computed the cut-off value of epicardial fat area by using ROC (Receiver Operating Characteristic) curve to foresee a metabolic syndrome factor that has the most proper sensitivity and specificity.
  
  
  RESULTS
  Waist circumference, fasting blood sugar, triglyceride, high-density lipoprotein (HDL) cholesterol, systolic blood pressure, and diastolic blood pressure were shown to be the factors that affect the area of epicardial fat. Therefore, if waist circumference, fasting blood sugar, triglyceride, systolic blood pressure, and diastolic blood pressure were increased, the area of epicardial fat would be significantly increased (P<0.05); and if high-density lipoprotein cholesterol was increased, the area of epicardial fat would be significantly decreased (P<0.05). Out of metabolic syndrome factors, waist circumference's ROC curve area was 0.79 (Confidence Interval 0.73-0.84, P<0.05), which was the highest. The sensitivity was 83.7% when specificity was 70.1%, which proves that they are important factors for the diagnosis. In brief, metabolic syndrome is a disease that mostly appears in obesity patients, so we should try to monitor and cure the disease.
  
  
  CONCLUSIONS
  The risk factors of metabolic syndrome can be managed through health care, and if we try to decrease the risk factors, we will be able to shrink epicardial fat area and decrease metabolic syndrome at the same time.
authors.affiliation: Hyon-Chol Jang, PhD. Department of Radiological Science, Suseong College, Daegu 706-711, Republic of Korea. Department of Health Science, Hanyang University, Seoul 133-791, Republic of Korea.
authors.forename: Hyon-Chol
authors.initials: HC
authors.lastname: Jang
authors.affiliation: Hae-Kag Lee, PhD. Department of Computer Science and Engineering, Soonchunhyang University, Asan, Republic of Korea.
authors.forename: Hae-Kag
authors.initials: HK
authors.lastname: Lee
authors.affiliation: Heon Lee, PhD. Department of Radiology, Soonchunhyang University Hospital, Bucheon 420-767, Republic of Korea.
authors.forename: Heon
authors.initials: H
authors.lastname: Lee
authors.affiliation: Jang-Gyu Cha, PhD. Department of Radiology, Soonchunhyang University Hospital, Bucheon 420-767, Republic of Korea.
authors.forename: Jang-Gyu
authors.initials: JG
authors.lastname: Cha
authors.affiliation: Yoon-Shin Kim, PhD. Department of Health Science, Hanyang University, Seoul 133-791, Republic of Korea.
authors.forename: Yoon-Shin
authors.initials: YS
authors.lastname: Kim
authors.affiliation: Jae-Hwan Cho, PhD. Department of International Radiological Science, Hallym University of Graduate Studies, Seoul, Republic of Korea.
authors.forename: Jae-Hwan
authors.initials: JH
authors.lastname: Cho
keywords: Blood Count; Epicardial Area; Metabolic Risk Factors; Metabolic Syndrome