Yifan Li¹, Zewen Chen², Yumei Xie¹, Shushui Wang¹, Zhiwei Zhang^1,*

Congenital Heart Disease, Vol.18, No.4, pp. 413-430, 2023, DOI:10.32604/chd.2023.029848

Abstract Background: Limited data are available regarding intermediate and long-term outcomes of transcatheter closure (TCC) of coronary cameral fistulas (CCFs) in the pediatric patients. Methods: All pediatric patients diagnosed with CCFs who were scheduled to undergo TCC between 2005 and 2019 were retrospectively enrolled in the study. Results: A total of 66 patients (median age: 3.93 years, median weight: 15 kg) underwent attempted TCC of CCFs. Immediate successful device implantation was achieved in 62 patients, and immediate complete occlusion was achieved in 44 patients (44/62%, 71.0%). The closure procedure was waived in 2 patients due to anatomical factors. A total of 6… More >

B. Ramesh, Kuruva Lakshmanna^*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2513-2528, 2023, DOI:10.32604/cmes.2023.028944

Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this rapidly developing field. Type 2… More > Graphic Abstract

Sameh Abd El-Ghany^1,2, A. A. Abd El-Aziz^1,3,*

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 >

Sungjin Lee¹, Ahyoung Lee², Min Hong^3,*

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2543-2554, 2023, DOI:10.32604/csse.2023.037055

Abstract Specific medical data has limitations in that there are not many numbers and it is not standardized. to solve these limitations, it is necessary to study how to efficiently process these limited amounts of data. In this paper, deep learning methods for automatically determining cardiovascular diseases are described, and an effective preprocessing method for CT images that can be applied to improve the performance of deep learning was conducted. The cardiac CT images include several parts of the body such as the heart, lungs, spine, and ribs. The preprocessing step proposed in this paper divided CT image data into regions… More >

Andrei George Iosifescu^1,2,*, Roxana Enache^1,3, Ioana Marinică⁴, Corina Radu², Vlad Anton Iliescu^1,2

Congenital Heart Disease, Vol.18, No.1, pp. 67-72, 2023, DOI:10.32604/chd.2023.026598

Abstract Left main coronary compression syndrome (LMCS) may complicate pulmonary artery aneurysms (PAA), usually developed in the context of pulmonary arterial hypertension (PAH). We report the case of a 51-year-old female patient with an atrial septal defect (unsuitable for device closure) complicated by a PAA generating a 90% left main stenosis. The significant PAH held us back from immediate surgery. After specific dual PAH-targeted therapy (sildenafil and bosentan), the atrial septal defect could be closed with a unidirectional valved patch; the PAA-induced LMCS was treated by reductive arterioplasty. The postoperative course was uneventful. Follow-up showed clinical improvement, but PAH treatment was… More > Graphic Abstract

Sanjiban Sekhar Roy¹, Ching-Hsien Hsu^2,3,4,*, 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 >

Yifan Li¹, Zewen Chen², Jian Zhuang², Zhiwei Zhang^1,*

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

Phung Nhu Hai¹, Nguyen Chi Thanh^1,*, 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 >

S. Raghavendra¹, Vasudev Parvati², R. Manjula³, Ashok Kumar Nanda⁴, Ruby Singh⁵, D. Lakshmi⁶, S. Velmurugan^7,*

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1353-1368, 2023, DOI:10.32604/iasc.2023.027977

Abstract In contemporary medicine, cardiovascular disease is a major public health concern. Cardiovascular diseases are one of the leading causes of death worldwide. They are classified as vascular, ischemic, or hypertensive. Clinical information contained in patients’ Electronic Health Records (EHR) enables clinicians to identify and monitor heart illness. Heart failure rates have risen dramatically in recent years as a result of changes in modern lifestyles. Heart diseases are becoming more prevalent in today’s medical setting. Each year, a substantial number of people die as a result of cardiac pain. The primary cause of these deaths is the improper use of pharmaceuticals… More >

Pornrawee Plearntummakun¹, Chodchanok Vijarnsorn^1,*, 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