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Cardiovascular imaging in children with cardiac implantable electronic devices.
Pediatr Radiol
January 2025
Department of Cardiology, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA.
The number of children with cardiac implantable electronic devices (CIEDs) is increasing at a time of rapid growth in cardiac magnetic resonance (MR) and cardiac computed tomography (CT) utilization. The presence of CIEDs poses challenges with respect to imaging safety and quality. A thoughtful approach to cardiovascular imaging in patients with CIEDs begins with an awareness of the clinical indications to determine the most appropriate imaging modality.
View Article and Find Full Text PDFLarge simple randomized controlled trials-from drugs to medical devices: lessons from recent experience.
Trials
January 2025
Department of Cardiology, University Hospital of Wales, Cardiff, UK.
Randomized controlled trials (RCTs) are the cornerstone of modern evidence-based medicine. They are considered essential to establish definitive evidence of efficacy and safety for new drugs, and whenever possible they should also be the preferred method for investigating new high-risk medical devices. Well-designed studies robustly inform clinical practice guidelines and decision-making, but administrative obstacles have made it increasingly difficult to conduct informative RCTs.
View Article and Find Full Text PDFImpact of mild hypothermic circulatory arrest on surgical outcomes in acute type a aortic dissection patients: a single-centre study.
BMC Cardiovasc Disord
January 2025
Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Background: As hypothermic circulatory arrest (HCA) is being more frequently induced in patients undergoing aortic arch surgery, its safety at different degrees has become a crucial area of study. The aim of this study was to assess the surgical outcomes of mild hypothermic circulatory arrest (MI-HCA) during aortic arch surgery.
Methods: Acute type A aortic dissection (ATAAD) patients who underwent total arch replacement (TAR) and frozen elephant trunk (FET) surgery between January 2014 and December 2023 were enrolled in this study.
CPT® Codes for MRI Safety - A User's Guide.
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA (Colin M Segovis), Department of Neuroradiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA (Jacob W Ormsby, Melissa M Chen), Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA (Cindy X Yuan), Enterprise Radiology, Emory Healthcare, Atlanta, GA, USA (Matthew J Goette), Department of Radiology, Mayo Clinic, Rochester, MN, USA (Heidi A Edmonson).
The magnetic fields of the MR environment present unique safety challenges. Medical implants and retained foreign bodies can prevent patients from undergoing MR imaging due to interactions between the magnetic fields of the MR environment and the implant or foreign body. These hazards can be addressed through careful MR safety screening and MR examination customization, often allowing these patients with implants to undergo management-altering MR imaging.
View Article and Find Full Text PDFTotal Knee Arthroplasty Automated Implant Detector: An Uncertainty-Aware Deep Learning Classifier to Identify Total Knee Arthroplasty Implants.
J Arthroplasty
January 2025
Orthopedic Surgery Artificial Intelligence Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA. Electronic address:
Background: A drastic increase in the volume of primary total knee arthroplasties (TKAs) performed nationwide will inevitably lead to higher volumes of revision TKAs in which the primary knee implant must be removed. An important step in preoperative planning for revision TKA is implant identification, which is time-consuming and difficult even for experienced surgeons. We sought to develop a deep learning algorithm to automatically identify the most common models of primary TKA implants.
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