Automated carotid intima-media thickness and its link for prediction of SYNTAX score in Japanese coronary artery disease patients.

医学 冠状动脉疾病 内膜中层厚度 接收机工作特性 内科学 逻辑回归 心脏病学 语法 放射科 超声波 颈动脉 人工智能 计算机科学
作者
Nobutaka Ikeda,L. Saba,Filippo Molinari,M. Piga,Kristen M. Meiburger,Kaoru Sugi,Michele Porcu,Luca Bocchiddi,U. Rajendra Acharya,Mitsuhiko Nakamura,Masataka Nakano,A. Nicolaides,Js Suri
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期刊:PubMed 卷期号:32 (3): 339-48 被引量:10
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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.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.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).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.

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