Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients. (January 2017)

• Record Type: Journal Article
• Authors: Bulant, C.A.; Blanco, P.J.; Clausse, A.; Assunção, A.N.; Lima, T.P.; Ávila, L.F.R.; Feijóo, R.A.; Lemos, P.A.
• Is Part Of: Biomedical signal processing and control. Volume 31(2017)
• Page Start: 569
• Page End: 575
• Publication Date: 2017-01
• Subjects: Geometric risk factors -- Left anterior descending artery -- Average distal curvature -- Coronary computed tomography angiography -- Coronary artery disease; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2016.09.023
• Languages: English
• ISSNs: 1746-8094

Abstract

Abstract : Highlights: The average distal curvature ( κ ¯ d ) of 48 LAD arteries is quantified from CCTA images. Low values of κ ¯ d in the LAD are strongly correlated with the presence of stenosis. Classification of arterial health status using Kd is faceable. Using a cut-off value of κ ¯ d = 0.0537 mm −1 yields accuracy and AUC of 75%. The κ ¯ d could be an indication of a geometric risk factor for CAD. Abstract: Geometrical risk factors for coronary atherosclerosis were proposed in the eighties as a complement to fluid dynamic and biomechanical mechanisms for atherosclerotic genesis and progression. Up to date there are no conclusive results in the subject, although several studies suggest that there is an underlying relation between geometry and disease. Coronary computed tomography angiographies of 48 patients were processed, and the left anterior descending artery (LAD) of each patient was geometrically characterized by computing point-wise curvature. Distal averaging of this feature was used as discriminating variable to identify healthy and diseased arteries. Standard statistical analysis was performed and a binary classifier was used to assess the discriminating capability of the so called average distal curvature ( κ ¯ d ). A significant difference between the distribution of κ ¯ d in healthy and diseased LADs was found ( p < 0.01). Performance of the classifier for a cut-off value of κ ¯ d = 0.0537 mm −1 in terms of accuracy, sensitivity and specificity is 75%, 70% and 80% respectively. The area under the receiver-operator curve is 0.75. The results presented here support the hypothesis of a significant correlation between low values of average distal curvature and stenotic lesions in LAD arteries.