Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (58)
  • Open Access

    ARTICLE

    A Robust Tuned Random Forest Classifier Using Randomized Grid Search to Predict Coronary Artery Diseases

    Sameh Abd El-Ghany1,2, A. A. Abd El-Aziz1,3,*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4633-4648, 2023, DOI:10.32604/cmc.2023.035779

    Abstract Coronary artery disease (CAD) is one of the most authentic cardiovascular afflictions because it is an uncommonly overwhelming heart issue. The breakdown of coronary cardiovascular disease is one of the principal sources of death all over the world. Cardiovascular deterioration is a challenge, especially in youthful and rural countries where there is an absence of human-trained professionals. Since heart diseases happen without apparent signs, high-level detection is desirable. This paper proposed a robust and tuned random forest model using the randomized grid search technique to predict CAD. The proposed framework increases the ability of CAD predictions by tracking down risk… More >

  • Open Access

    ARTICLE

    Vessels Segmentation in Angiograms Using Convolutional Neural Network: A Deep Learning Based Approach

    Sanjiban Sekhar Roy1, Ching-Hsien Hsu2,3,4,*, Akash Samaran1, Ranjan Goyal1, Arindam Pande5, Valentina E. Balas6

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 241-255, 2023, DOI:10.32604/cmes.2023.019644

    Abstract Coronary artery disease (CAD) has become a significant cause of heart attack, especially among those 40 years old or younger. There is a need to develop new technologies and methods to deal with this disease. Many researchers have proposed image processing-based solutions for CAD diagnosis, but achieving highly accurate results for angiogram segmentation is still a challenge. Several different types of angiograms are adopted for CAD diagnosis. This paper proposes an approach for image segmentation using Convolution Neural Networks (CNN) for diagnosing coronary artery disease to achieve state-of-the-art results. We have collected the 2D X-ray images from the hospital, and… More >

  • Open Access

    CASE REPORT

    A Rare Case of Transcatheter Closure of Both Inlet and Outlet of a Left Coronary Artery-to-Left Ventricular Fistula with Giant Coronary Artery Aneurysm

    Yifan Li1, Zewen Chen2, Jian Zhuang2, Zhiwei Zhang1,*

    Congenital Heart Disease, Vol.17, No.5, pp. 541-549, 2022, DOI:10.32604/chd.2022.024907

    Abstract A congenital coronary artery fistula (CCAF) combined with giant coronary aneurysm (CAA) is a rare congenital cardiac abnormality. We reported an 8-year-old patient who underwent transcatheter closure of both inlet and outlet of a proximal left coronary artery (LCA)-to-left ventricular (LV) fistula with CAA of 41 mm × 28 mm in diameter, during which acute occlusion of left anterior descending coronary artery (LAD) occurred immediately after device implantation at the inlet of fistula. We managed to prevent the patient from major adverse cardiac events by conservative therapy with dual antiplatelet agents instead of surgical removal of the device. The patient… More > Graphic Abstract

    A Rare Case of Transcatheter Closure of Both Inlet and Outlet of a Left Coronary Artery-to-Left Ventricular Fistula with Giant Coronary Artery Aneurysm

  • Open Access

    ARTICLE

    Transfer Learning for Disease Diagnosis from Myocardial Perfusion SPECT Imaging

    Phung Nhu Hai1, Nguyen Chi Thanh1,*, Nguyen Thanh Trung2, Tran Trung Kien1

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5925-5941, 2022, DOI:10.32604/cmc.2022.031027

    Abstract Coronary artery disease (CAD) is one of the most common pathological conditions and the major global cause of death. Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is a non-invasive method and plays an essential role in diagnosing CAD. However, there is currently a shortage of doctors who can diagnose using SPECT-MPI in developing countries, especially Vietnam. Research on deploying machine learning and deep learning in supporting CAD diagnosis has been noticed for a long time. However, these methods require a large dataset and are therefore time-consuming and labor-intensive. This study aims to develop a cost-effective and high-performance… More >

  • Open Access

    ARTICLE

    Congenital Coronary Artery Fistula in Children: A Review of 28 Cases with Clinical and Imaging Outcomes

    Pornrawee Plearntummakun1, Chodchanok Vijarnsorn1,*, Kritvikrom Durongpisitkul1, Prakul Chanthong1, Paweena Chungsomprasong1, Supaluck Kanjanauthai1, Thita Pacharapakornpong1, Jarupim Soongswang1, Thaworn Subtaweesin2

    Congenital Heart Disease, Vol.17, No.4, pp. 463-478, 2022, DOI:10.32604/chd.2022.021545

    Abstract Background: Congenital coronary artery fistula (CCAF) is a rare anomaly. Treatment strategies tend to close the defect with a symptomatic and significant shunt, primarily based on expert consensus and case series. Results for long-term follow-up in children are limited Methods: We conducted a retrospective study to assess clinical and imaging outcomes of children with CCAF at Siriraj Hospital, Thailand during 2000–2020. Patients with single ventricle were excluded. Treatment strategies [surgical closure (SC), and percutaneous closure (PC)] were classified and the clinical outcomes at the follow-up in 2021, including coronary thrombosis, myocardial ischemia, and the results of cardiovascular imaging were reviewed.… More > Graphic Abstract

    Congenital Coronary Artery Fistula in Children: A Review of 28 Cases with Clinical and Imaging Outcomes

  • Open Access

    ARTICLE

    Coronary Artery Anomalies in D-Transposition of the Great Artery Following Arterial Switch Operation

    Thita Pacharapakornpong, Jarupim Soongswang*, Chodchanok Vijarnsorn, Paweena Chungsomprasong, Kritvikrom Durongpisitkul, Prakul Chanthong, Supaluck Kanjanauthai

    Congenital Heart Disease, Vol.17, No.3, pp. 297-311, 2022, DOI:10.32604/chd.2022.019279

    Abstract Background: The survival rate of patients following arterial switch operation (ASO) exceeds 95%, but coronary artery anomalies (CAA) contribute to a 2% incidence of sudden cardiac arrest later in life. Therefore, we aimed to assess abnormal findings of coronary arteries in post-ASO patients. Methods: Coronary computed tomography angiography (CCTA) is performed on post-ASO patients who meet institutional criteria. Intraoperative findings of coronary artery patterns were retrospectively reviewed and categorized using the Leiden classification system. Coronary artery anomalies were detected by CCTA and associations with coronary artery compromise were explored. Results: Forty-three patients who had CCTA with a median age of… More >

  • Open Access

    ARTICLE

    Coronary Artery Complications after Right Ventricular Outflow Tract Reconstruction Surgery

    Hye Won Kwon1,2, Mi Kyoung Song1, Sang Yun Lee1, Gi Beom Kim1, Sungkyu Cho2, Jae Gun Kwak2, Woong-Han Kim2, Whal Lee3, Eun Jung Bae1,*

    Congenital Heart Disease, Vol.17, No.3, pp. 281-295, 2022, DOI:10.32604/chd.2022.019065

    Abstract Background: Mechanisms and clinical manifestations of coronary artery complications after right ventricular outflow tract reconstruction surgery are not well known. Methods: Patients who had coronary artery complications after pulmonary valve replacement or the Rastelli procedure at a single tertiary centre were retrospectively analysed. Results: Coronary artery complications were identified in 20 patients who underwent right ventricular outflow tract reconstruction surgery. The median age at diagnosis of coronary artery complication was 21 years (interquartile range: 13–25 years). Mechanisms of coronary artery complications were compression by adjacent materials in 12 patients, dynamic compression of intramural course of coronary artery in two patients,… More >

  • Open Access

    ARTICLE

    Computer Aided Coronary Atherosclerosis Plaque Detection and Classification

    S. Deivanayagi1,*, P. S. Periasamy2

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 639-653, 2022, DOI:10.32604/iasc.2022.025632

    Abstract Coronary artery disease (CAD) remains a major reason for increased mortality over the globe, comprising myocardial infarction and ischemic cardiomyopathy. The CAD is highly linked to coronary stenosis owing to the encumbrance of atherosclerotic plaques. Particularly, diversified atherosclerotic plaques are highly responsible for major cardiac adverse events over the calcified and non-calcified plaques. There, the recognition and classification of atherosclerotic plaques play a vital role to prevent and intervene in CAD. The process of detecting various class labels of the atherosclerotic plaques is significant to identify the disease at the earlier stages. Since several automated coronary plaque recognition models are… More >

  • Open Access

    ARTICLE

    Computation of Aortic Geometry Using MR and CT 3D Images

    Maryam Altalhi1, Sami Ur Rehman2, Fakhre Alam2, Ala Abdulsalam Alarood3, Amin ur Rehman2, M. Irfan Uddin4,*

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 961-969, 2022, DOI:10.32604/iasc.2022.020607

    Abstract The proper computation of geometric parameters of the aorta and coronary arteries are very important for surgery planning, disease diagnoses, and age-related changes observation in the vessels. The accurate knowledge about the geometry of aorta and coronary arteries is required for the proper investigation of heart related diseases. The geometry of aorta and coronary arteries includes the diameter of the ascending and descending aorta and coronary arteries, length of the coronary arteries, branching angles of the coronary arteries and branching points. These geometric parameters from arteries can be computed from the 3D image data. In this paper, we propose an… More >

  • Open Access

    ARTICLE

    Impact of Coronary Artery Curvature on the Longitudinal Stent Foreshortening: Real-World Observations

    Yang Li1,#, Runxin Fang2,#, Renyun Wang1, Qiming Dai1, Zhiyong Li2,*, Genshan Ma1

    Molecular & Cellular Biomechanics, Vol.18, No.3, pp. 119-122, 2021, DOI:10.32604/mcb.2021.017503

    Abstract Longitudinal stent foreshortening is a known phenomenon, however, the impact of coronary artery curvature on longitudinal stent foreshortening remains unclear. The aim of this study is to determine the impact of coronary artery curvature on the longitudinal stent foreshortening in the real-world scenarios. A total of 86 consecutive patients underwent coronary stent implantation were included in the present study. The degree of coronary artery curvature was defined as the length of the coronary artery curvature divided by the straight length. Longitudinal stent foreshortening was defined as the stent length after implantation divided by the stent length before implantation. The mean… More >

Displaying 1-10 on page 1 of 58. Per Page