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Background and aim The present study aimed to analyze the correlation between carotid atherosclerotic plaque (CAP) and/or subclavian atherosclerotic plaque (SAP) and coronary atherosclerosis disease (CASD). Methods A total of 1343 patients hospitalized for chest pain or tightness due to coronary atherosclerotic disease and underwent initial coronary angiography (CAG) were evaluated by color Doppler flow imaging (CDFI) for CAP and SAP. The patients were divided into four groups: non-CAP & non-SAP, only-SAP, only-CAP, or CAP & SAP. Finally, 1,242 patients were included in this study. Results The incidence of CASD and main coronary artery disease in the CAP & SAP group was higher than that in the CAP-only group. Moreover, the detection rate of three-vessel disease (3-VD) in the CAP & SAP group was significantly higher than that in the CAP group ( p < 0.05). The incidence of main coronary artery branch lesions in patients with CAP & SAP was approximately 1.5 times higher than in those with only CAP. Male gender, hypertension, and diabetes were independent risk factors for main coronary artery branch lesions. If the patient had CAP & SAP lesions and more than three cardiovascular disease risk factors, coronary artery main artery disease incidence was about 81.7% Conclusion Based on the CDFI screening and combined with cardiovascular disease risk factors, the combined evaluation of CAP and SAP showed higher CASD prediction values than the CAP group alone. Early detection of coronary atherosclerotic stenosis and timely clinical intervention is expected to reduce the incidence of ischemic heart disease events caused by coronary atherosclerotic stenosis
Background and aim The present study aimed to analyze the correlation between carotid atherosclerotic plaque (CAP) and/or subclavian atherosclerotic plaque (SAP) and coronary atherosclerosis disease (CASD). Methods A total of 1343 patients hospitalized for chest pain or tightness due to coronary atherosclerotic disease and underwent initial coronary angiography (CAG) were evaluated by color Doppler flow imaging (CDFI) for CAP and SAP. The patients were divided into four groups: non-CAP & non-SAP, only-SAP, only-CAP, or CAP & SAP. Finally, 1,242 patients were included in this study. Results The incidence of CASD and main coronary artery disease in the CAP & SAP group was higher than that in the CAP-only group. Moreover, the detection rate of three-vessel disease (3-VD) in the CAP & SAP group was significantly higher than that in the CAP group ( p < 0.05). The incidence of main coronary artery branch lesions in patients with CAP & SAP was approximately 1.5 times higher than in those with only CAP. Male gender, hypertension, and diabetes were independent risk factors for main coronary artery branch lesions. If the patient had CAP & SAP lesions and more than three cardiovascular disease risk factors, coronary artery main artery disease incidence was about 81.7% Conclusion Based on the CDFI screening and combined with cardiovascular disease risk factors, the combined evaluation of CAP and SAP showed higher CASD prediction values than the CAP group alone. Early detection of coronary atherosclerotic stenosis and timely clinical intervention is expected to reduce the incidence of ischemic heart disease events caused by coronary atherosclerotic stenosis
Cardiovascular Diseases (CVDs) are the leading cause of deaths, and adverse CVDs are related to Coronary Artery Disease (CAD). CAD is caused due to the accumulation of fatty lesions called plaques on the vessels that nourish the heart with blood. The Intravascular Ultrasound (IVUS) imaging modality has captured considerable attention in the diagnosis of CVDs in recent years. Generally coronary artery consists of three distinct regions: Media, Intima and Luminal region. Intima-Media Thickness (IMT) is perceived as a significant indicator in the risk evaluation process, tracking the amount of atherosclerosis development. In this paper, IVUS image is preprocessed using Total Variance Regularization for speckle noise removal and the contrast is improved by Contrast Limited Adaptive Histogram Equalization (CLAHE) technique. Region of Interest (RoI) is extracted using segmentation techniques such as Multi-Level Set Based, Otsu’s segmentation, Active Contour and Watershed segmentation and their performances are compared. The performance metrics used are Jaccard Index (JAC), Dice Coefficient (DC), Cohen Kappa Coefficient (KAP), Variation of Information (VOI), Global Consistency Error (GCE), and Rand Index (RI). From the analysis, it is observed that the Multi-Level Set based technique has a high JAC, DICE, KAP and RI. These values indicate the similarity between the segmented and ground truth image. Also the value of GI, indicates the less error measurement between segmented image and ground truth image. The significance of using Multi- level set based technique is that it uses the B-spline function-based curvature updation. This function is less dependent on the degree, smoothness and domain partition of the image, resulting in increased segmenting accuracy.
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