Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (66)
  • Open Access

    ARTICLE

    Right Axillary Thoracotomy for Anomalous Aortic Origin of a Coronary Artery in Children

    Kuo Li1,2, Yue Tang1,2, Yonggang Li1,2,*, Yuhao Wu1,2,*

    Congenital Heart Disease, Vol.20, No.6, pp. 693-702, 2025, DOI:10.32604/chd.2026.076517 - 10 February 2026

    Abstract Background: There has been an increasing number of studies documenting the application of the right axillary thoracotomy (RAT) approach for the repair of congenital heart diseases. However, no research has reported the RAT approach in repairing the anomalous aortic origin of a coronary artery (AAOCA). This study aims to investigate the feasibility and safety of the RAT approach for repairing AAOCA in children. Methods: We performed a retrospective study at the Children’s Hospital of Chongqing Medical University between January 2024 and October 2025 to investigate the clinical outcomes of the RAT approach for repairing AAOCA in… More >

  • Open Access

    ARTICLE

    Hybrid Multi-Scale 3D Segmentation Framework for Automated Stenosis Detection

    Angelin Gladston1, Swedha Velraj2,*, Harini Nadarajan1

    Congenital Heart Disease, Vol.20, No.6, pp. 769-792, 2025, DOI:10.32604/chd.2025.068879 - 10 February 2026

    Abstract Background: Coronary artery disease (CAD) is a major global health concern requiring efficient and accurate diagnostic methods. Manual interpretation of coronary computed tomography angiography (CTA) images is time-consuming and prone to interobserver variability, underscoring the need for automated segmentation and stenosis detection tools. Methods: This study presents a hybrid multi-scale 3D segmentation framework utilizing both 3D U-Net and Enhanced 3D U-Net architectures, designed to balance computational efficiency and anatomical precision. Processed CTA images from the ImageCAS dataset underwent data standardization, normalization, and augmentation. The framework applies ensemble learning to merge coarse and fine segmentation masks, followed… More >

  • Open Access

    ARTICLE

    Surgical Treatment of Anomalous Left Coronary Artery Originating from the Pulmonary Artery: A Single-Center Experience

    Guozhen Wang1,2, Yong An1,2,*

    Congenital Heart Disease, Vol.20, No.3, pp. 347-355, 2025, DOI:10.32604/chd.2025.065354 - 11 July 2025

    Abstract Background: Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital anomalous coronary artery origin disorder. Objective: We sought to summarize the clinical experience and prognostic characteristics of surgical treatment of ALCAPA. Methods: We retrospectively analyzed clinical information on patients who had ALCAPA and underwent surgery at our center from February 2016 to October 2023. Results: This comparative study of 23 ALCAPA patients (9 infants <1 year; 14 children >1 year) demonstrated significant age-dependent outcomes. Infant patients exhibited markedly prolonged mechanical ventilation (183 ± 105.6 vs. 48.5 ± 62.2 min, p =… More >

  • Open Access

    CASE REPORT

    Case Report: Prominent Coronary Artery Flow in Fetuses with Congenital Heart Disease, Is It a Marker of In Utero Distress?

    Mohamed Aashiq Abdul Ghayum1,*, Maria Kiaffas1,2, Ashley Warta1, Melanie Kathol1, David C. Mundy2, Kelsey Brattrud1, Nitin Madan1,2

    Congenital Heart Disease, Vol.19, No.6, pp. 647-651, 2024, DOI:10.32604/chd.2025.058271 - 27 January 2025

    Abstract Prominent coronary artery (CA) flow observed on a fetal echocardiogram has been associated with fetal growth restriction and myocardial dysfunction. We present two cases with this finding, in the presence of congenital heart disease (CHD) and absence of growth restriction or myocardial dysfunction. Both the cases rapidly progressed to extremis, necessitating emergent delivery. Our cases highlight the importance of recognizing prominent CA flow in fetuses with CHD as a potential marker for in utero distress. More >

  • Open Access

    CASE REPORT

    Fate of Right Coronary Artery Occlusion after a Surgically Repaired Aorto-Ventricular Tunnel in a Neonate

    Sherif Negm1,2, Loic Mace1, Fedoua El Louali3, Beatrice Desnous4, Philipe Aldebert3, Virginie Fouilloux1, Marien Lenoir1,*

    Congenital Heart Disease, Vol.19, No.3, pp. 267-273, 2024, DOI:10.32604/chd.2024.051642 - 26 July 2024

    Abstract The aorto-ventricular tunnel is a rare congenital cardiac anomaly. We present a case of aorto-ventricular tunnel diagnosed via fetal echocardiography. Emergency surgery was performed on the 2nd day of life to close the tunnel, located just in front of the right coronary ostium, due to the patient’s unstable health condition. The postoperative period revealed complete occlusion of the right coronary artery. Due to the patient’s stability, we opted not to reintervene on the right coronary artery. The patient fully recovered without the need for further coronary intervention. In cases of patients with an aorto-ventricular tunnel More >

  • Open Access

    ARTICLE

    High Prevalence of Anatomical Variations and Anomalies of the Coronary Arteries Detected by CT Angiography in Symptomatic Patients

    Ghazi A. Alshumrani*

    Congenital Heart Disease, Vol.19, No.2, pp. 197-206, 2024, DOI:10.32604/chd.2024.049401 - 16 May 2024

    Abstract Objective: Coronary artery anatomical variations and anomalies are an important topic due to their potential clinical manifestations. This study aims to investigate the prevalence of coronary artery anatomical variations and anomalies in symptomatic patients with coronary computed tomography angiography (CCTA). Methods: This is a retrospective study that included all symptomatic patients who had CCTA in a tertiary care hospital in Saudi Arabia during a period of seven years. Results: The total number of included patients was 507 (60% males) with a mean age of 57.4 years. Approximately 41% had luminal stenoses, averaging 49.7%. The total number… More >

  • 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 - 31 March 2023

    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… 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 - 05 January 2023

    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… 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 - 06 September 2022

    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 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 - 28 July 2022

    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… More >

Displaying 1-10 on page 1 of 66. Per Page