title: Automated carotid intima-media thickness and its link for prediction of SYNTAX score in Japanese coronary artery disease patients.
abstract: OBJECTIVE
  The purpose of this study was to evaluate whether the automated carotid intima-media thickness (CIMT) identified by using automated software could predict the SYNTAX score for coronary artery disease (CAD) patients.
  
  
  METHODS
  Three-hundred-seventy consecutive patients (males 218; median age 69±11 years) who underwent carotid-ultrasound and coronary angiography were analyzed. Two experienced interventional cardiologists calculated the SYNTAX score from the carotid angiograms. After ultrasonographic examinations were performed, the plaque score (PS) was calculated and automated carotid IMT analysis was obtained by a fully automated algorithm. Correlation and stepwise logistic regression analysis were calculated and also the receiver operating characteristics (ROC) curve analysis was computed.
  
  
  RESULTS
  The mean SYNTAX score was 8.1±14.4; the PS was 7.1±14.4 and the mean CIMT was 0.86±0.23 mm (Normality rejected with a P-value of 0.001). A statistically significant correlation was found between the CIMT and SYNTAX score (r=0.323; P=0.0001) and between the PS and SYNTAX score (r=0.583; P=0.0001). The area under the ROC curve (Az) between CIMT and coronary artery disease was 0.648 (P=0.0001) and the CIMT of 1 mm or more was associated with the presence coronary artery disease with a specificity of 90.5%. Logistic regression analysis confirmed the association between CIMT and SYNTAX score (P=0.0002).
  
  
  CONCLUSIONS
  Results of our study using an automated algorithm showed a statistical significant association between CIMT and SYNTAX score and indicated that CIMT may be considered a reliable parameter for prediction of SYNTAX score in coronary artery disease patient population from Japan.
authors.affiliation: Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan. filippo.molinari@polito.it
authors.forename: N
authors.initials: N
authors.lastname: Ikeda
authors.forename: L
authors.initials: L
authors.lastname: Saba
authors.forename: F
authors.initials: F
authors.lastname: Molinari
authors.forename: M
authors.initials: M
authors.lastname: Piga
authors.forename: K
authors.initials: K
authors.lastname: Meiburger
authors.forename: K
authors.initials: K
authors.lastname: Sugi
authors.forename: M
authors.initials: M
authors.lastname: Porcu
authors.forename: L
authors.initials: L
authors.lastname: Bocchiddi
authors.forename: U R
authors.initials: UR
authors.lastname: Acharya
authors.forename: M
authors.initials: M
authors.lastname: Nakamura
authors.forename: M
authors.initials: M
authors.lastname: Nakano
authors.forename: A
authors.initials: A
authors.lastname: Nicolaides
authors.forename: J S
authors.initials: JS
authors.lastname: Suri
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D019540:Area Under Curve; D057205:Automation, Laboratory; D002339:Carotid Arteries / Q000000981:diagnostic imaging*; D002340:Carotid Artery Diseases / Q000150:complications / Q000000981:diagnostic imaging*; D059168:Carotid Intima-Media Thickness; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000150:complications / Q000000981:diagnostic imaging*; D003331:Coronary Vessels / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007564:Japan; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D058226:Plaque, Atherosclerotic; D011237:Predictive Value of Tests; D012372:ROC Curve; D012984:Software