With the continuous expansion of the disease scope of chest CT and cardiac CT, the number of these CT examinations has increased rapidly. In addition to their common indications, many incidental cardiac findings can be observed when carefully evaluating the coronary arteries, valves, pericardium, ventricles, and large vessels. These findings may have clinical significance or risk of complications, but they are sometimes overlooked or may not be described in the final reports. Although most of the incidental findings are benign, timely detection and treatment can improve the management of chronic diseases or reduce the possibility of severe complications. In this review, we summarized the imaging findings, incidence rate, and clinical relevance of some benign cardiac findings such as coronary artery calcification, aortic and mitral valve calcification, aortic calcification, cardiac thrombus, myocardial bridge, aortic dilation, cardiac myxoma, pericardial cyst, and coronary artery fistula. Reporting incidental cardiac findings will help reduce the risk of severe complications or disease deterioration and contribute to the recovery of patients.
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http://dx.doi.org/10.1259/bjr.20211302 | DOI Listing |
Pediatr Cardiol
January 2025
Department of Cardiovascular Radiology & Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, 110029, India.
We sought to evaluate the intracardiac morphology and associated cardiovascular anomalies in patients with double inlet right ventricle (DIRV) on multidetector CT angiography. A retrospective search of our departmental database was conducted from January 2014 to January 2023 to identify patients with a diagnosis of DIRV on CT angiography. The intracardiac anatomy and associated cardiovascular abnormalities were systematically evaluated.
View Article and Find Full Text PDFMayo Clin Proc
January 2025
Departments of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA; Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA; Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA. Electronic address:
Objective: To study the effectiveness of virtual reality (VR) in reducing anxiety levels in patients undergoing first-time sternotomy for cardiac surgery.
Patients And Methods: A total of 100 adult patients scheduled for cardiac surgery at Mayo Clinic in Rochester, Minnesota, USA, was recruited from April 19, 2022, to October 12, 2022. Before surgery, patients wore a physiological monitor to record vital signs.
Intern Emerg Med
January 2025
Faculty of Medicine, Department of Emergency Medicine, Akdeniz University, Antalya, Turkey.
Patients presenting with suspected acute coronary syndrome (ACS) in the emergency department (ED) require rapid and accurate electrocardiographic (ECG) evaluation. This study aims to assess conventional ECG markers for diagnosing non-ST-elevation ACS (NSTE-ACS) in patients with chest discomfort and right bundle branch block (RBBB). A nested case-control design was employed to compare patients with RBBB admitted to the ED for suspected cardiac ischemia, focusing on those who developed NSTE-ACS versus those who did not.
View Article and Find Full Text PDFPediatr Cardiol
January 2025
Division of Cardiac Critical Care, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Neonates with congenital heart disease (CHD) who undergo cardiopulmonary bypass (CPB) are at high-risk for unfavorable neurodevelopmental (ND) outcomes and are recommended for ND evaluation (NDE); however, poor rates have been reported. We aimed to identify risk factors associated with lack of NDE. This single-center retrospective observational study included neonates < 30 days old who underwent CPB and survived to discharge between 2012 and 2018.
View Article and Find Full Text PDFSci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
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