title: Evaluation of characteristics and degree of remodeling in coronary atherosclerotic lesions by 64-detector multislice computed tomography (MSCT).
abstract: BACKGROUND
  Multislice computed tomography (MSCT) permits reliable imaging of not only the coronary artery lumen but also vessel wall. It is assumed that both lipid-rich plaques and those that display positive remodeling are more prone to rupture and erosion with subsequent coronary events. The purpose of this study was to assess the correlation between the characteristics of coronary arteries by MSCT and several measures of coronary heart disease (CHD) risk.
  
  
  METHODS
  This study consisted of 424 consecutive participants who received MSCT and coronary angiography (CAG). We assessed coronary artery findings including coronary artery calcification (CAC), degree of remodeling and narrowing of lumen and characteristics including uric acid (UA) and high-sensitivity C-reactive protein (hs-CRP). Statistical analyses were conducted for four subgroups classified by the presence of significant stenosis and positive remodeling.
  
  
  RESULTS
  Hs-CRP was 2.10+/-2.70mg/L in positive remodeling (+) and stenosis (+) group (PS), 1.05+/-0.97mg/L in positive remodeling (-) and stenosis (+) group (nPS), 0.94+/-0.88mg/L in positive remodeling (+) and stenosis (-) group (PnS) and 0.44+/-0.49mg/L in positive remodeling (-) and stenosis (-) group (nPnS). The results of logistic regression analysis showed that hs-CRP was higher in PS compared with the other groups (p<0.001) and higher in nPS and PnS compared with nPnS (p<0.05).
  
  
  CONCLUSIONS
  Regardless of significant stenosis, positive remodeling by MSCT correlates to the increase of hs-CRP.
authors.affiliation: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Kajii cho, Hirokoji, Kawaramachi dori, Kamikyo ku, Japan.
authors.forename: Muhei
authors.initials: M
authors.lastname: Tanaka
authors.forename: Ki-ichiro
authors.initials: K
authors.lastname: Tomiyasu
authors.forename: Michiaki
authors.initials: M
authors.lastname: Fukui
authors.forename: Satoshi
authors.initials: S
authors.lastname: Akabame
authors.forename: Yoshiko
authors.initials: Y
authors.lastname: Kobayashi-Takenaka
authors.forename: Koji
authors.initials: K
authors.lastname: Nakano
authors.forename: Mayuko
authors.initials: M
authors.lastname: Kadono
authors.forename: Goji
authors.initials: G
authors.lastname: Hasegawa
authors.forename: Yohei
authors.initials: Y
authors.lastname: Oda
authors.forename: Naoto
authors.initials: N
authors.lastname: Nakamura
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002097:C-Reactive Protein / Q000378:metabolism; D017023:Coronary Angiography / Q000379:methods; D003324:Coronary Artery Disease / Q000175:diagnosis / Q000378:metabolism* / Q000473:pathology*; D003331:Coronary Vessels / Q000473:pathology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008055:Lipids / Q000737:chemistry; D008297:Male; D008875:Middle Aged; D012306:Risk; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014527:Uric Acid / Q000378:metabolism
chemical_list: D008055:Lipids; D014527:Uric Acid; D002097:C-Reactive Protein