Purpose: Cardiologists are among the health professionals that are most exposed to ionizing radiation, but there is no study comparing the level of exposure of physicians during different electrophysiology procedures. We aimed to measure and compare cardiologists' exposure to radiation during different electrophysiology procedures.
Methods: The study population comprised all electrophysiology procedures performed over a 6-month period in a large referral centre. The endpoint was operator radiation exposure, assessed using a personal electronic dosimeter located on the operator's left arm.
Results: In total, 150 electrophysiology procedures were analyzed. Compared with electrophysiology studies (reference category), physician radiation exposure was 3-fold greater during ablation of atrial fibrillation, 9-fold greater during ablation of atrioventricular nodal reentrant tachycardia (AVNRT)/atrioventricular reentrant tachycardia (AVNT), and 10-fold greater during ablation of atrial flutter (p < 0.001). Physician exposure was mainly related to X-ray time (R = 0.28).
Conclusions: Our study showed significant differences in cardiologists' exposure to ionizing radiation depending on the type of electrophysiology procedure. Atrial flutter and AVNRT/AVNT ablations are the procedures in which operators are most exposed to ionizing radiation.
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http://dx.doi.org/10.1007/s10840-019-00568-1 | DOI Listing |
JTCVS Open
December 2024
Department of Cardiothoracic Surgery, Wake Forest University School of Medicine, Winston-Salem, NC.
Objective: The superior transseptal approach to mitral valve surgery offers improved exposure compared with left atriotomy; however, concerns remain regarding postoperative arrhythmias and pacemaker placement. This study investigates intraoperative parameters and postoperative outcomes in these approaches.
Methods: Retrospective review of 259 adults undergoing isolated mitral valve repair or replacement over a 10-year period was performed.
Sci Rep
January 2025
Cardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.
Electrical cardioversion presents one of the treatment options for atrial fibrillation (AF). However, the early recurrence rate is high, reaching ~40% three months after the procedure. Features based on vectorcardiographic signals were explored to find association with early recurrence of AF.
View Article and Find Full Text PDFJ Mol Histol
January 2025
Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, 55 Zhenhai Road, Siming District, Xiamen, 361003, Fujian, China.
Objective: This study aimed to elucidate the role of pyruvate dehydrogenase kinase-1 (PDK1) in cervical cancer (CC) by investigating its impact on cell proliferation, migration, and epithelial-mesenchymal transition (EMT) under hypoxic conditions.
Methods: PDK1-silenced CC cell lines were established using lentiviral shRNA technology. Cell migration and invasion were assessed through scratch and Transwell assays, respectively.
Brain Behav
January 2025
Research Institute for Health Sciences and Technologies (SABITA), Neuroscience Research Center, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey.
Introduction: The neural substrates of reasoning, a cognitive ability we use constantly in daily life, are still unclear. Reasoning can be divided into two types according to how the inference process works and the certainty of the conclusions. In deductive reasoning, certain conclusions are drawn from premises by applying the rules of logic.
View Article and Find Full Text PDFEur Heart J Imaging Methods Pract
October 2024
Cardiologia 1-Emodinamica, Dipartimento Cardiotoracovascolare 'A. De Gasperis', ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy.
Artificial intelligence (AI) is transforming cardiovascular imaging by offering advancements across multiple modalities, including echocardiography, cardiac computed tomography (CCT), cardiovascular magnetic resonance (CMR), interventional cardiology, nuclear medicine, and electrophysiology. This review explores the clinical applications of AI within each of these areas, highlighting its ability to improve patient selection, reduce image acquisition time, enhance image optimization, facilitate the integration of data from different imaging modality and clinical sources, improve diagnosis and risk stratification. Moreover, we illustrate both the advantages and the limitations of AI across these modalities, acknowledging that while AI can significantly aid in diagnosis, risk stratification, and workflow efficiency, it cannot replace the expertise of cardiologists.
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