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Automated vs manual cardiac MRI planning: a single-center prospective evaluation of reliability and scan times.
Eur Radiol
January 2025
Department of Radiology, Geneva University Hospitals, Geneva, Switzerland.
Objectives: Evaluating the impact of an AI-based automated cardiac MRI (CMR) planning software on procedure errors and scan times compared to manual planning alone.
Material And Methods: Consecutive patients undergoing non-stress CMR were prospectively enrolled at a single center (August 2023-February 2024) and randomized into manual, or automated scan execution using prototype software. Patients with pacemakers, targeted indications, or inability to consent were excluded.
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 PDFProposed resources required for a comprehensive program for CCT CHD imaging.
J Cardiovasc Comput Tomogr
January 2025
Royal Brompton Hospital, London, England, USA; School of Biomedical Engineering and Imaging Sciences, King's College, London, USA. Electronic address:
Background: Cardiac Computed Tomography (CCT) is increasingly used for evaluation of congenital heart disease (CHD) in patients of all ages. Pediatric and adult congenital heart disease (ACHD) surgical programs require high quality CCT imaging as part of the multimodality imaging support expected of comprehensive care centers. Despite these expectations, there are no benchmarks or defined programmatic elements specific to the performance of CCT in patients with CHD.
View Article and Find Full Text PDFIntroduction: Diagnosing dementia remains challenging in low-income settings due to limited diagnostic options and the absence of definitive biomarkers. The use of brain MRI in the diagnosis of dementia is infrequent in Uganda, and even when it is used, subtle findings like mild regional atrophy are often overlooked, despite being crucial for imaging diagnosis.
Objective: The purpose of this study was to explore the perceptions and practices of imaging personnel and physicians regarding the use of brain MRI as a diagnostic approach for dementia in Uganda.
Influence of obtaining medical records and laboratory data on the sensitivity of diagnostic imaging assessment by radiological technologists.
Radiol Phys Technol
January 2025
Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2, Ami, Ibaraki, 300-0394, Japan.
The purpose of this study is to clarify the influence of acquiring medical record information and laboratory data on the sensitivity of detecting imaging findings among Japanese radiological technologists (RTs). RTs were presented with patient's information in three distinct sequences for detecting imaging findings. True positives (TP) were identified and categorized into three groups: Group 1 (image + chief complaint), Group 2 (image + chief complaint + medical record), and Group 3 (image + chief complaint + medical record + laboratory data).
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