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Lung nodules are present in more than a fifth of Northern European nonsmokers -- a percentage similar to their prevalence in high-risk populations of smokers, researchers have found. The study results suggest that, as the volume of chest CT scans for various clinical indications continues to climb, the presence of incidental nodules could increase the number of follow-up scans and workups among low-risk individuals, wrote a team led by senior author Rozemarijn Vliegenthart, MD, PhD, of the Unive
Amidst rising cancer prevalence and soaring costs, new cancer technologies and innovations are emerging to support the early detection, treatment, and surveillance of cancer. Read this guide to understand how to evaluate these solutions for your employees and members – and to learn more about the current state of coverage, clinical and cost effectiveness, and impact on quality and outcomes.
Utilizing low-dose computed tomography (CT) scans for a cohort of over 10,000 non-smokers, researchers found that over 11 percent of study participants had clinically relevant lung nodules.
A 34-year-old woman died August 8 in Cairo, Egypt, due to injuries she sustained in a fire while receiving a fluoroscopy exam at a local radiology center, according to local news outlet Al-Masry Al-Youm. Shaimaa Owais, a lawyer and mother of two, was undergoing a hysterosalpingogram on August 3 when an oxygen cylinder reportedly exploded and set fire to the system, according to the report.
The U.S. Food and Drug Administration (FDA) has cleared Siemens Healthineers ' Acuson Origin AI-powered cardiovascular ultrasound system. Acuson Origin. Image courtesy of Siemens Healthineers. Acuson Origin can be used for diagnostic, structural heart, vascular, electrophysiological, and pediatric procedures in cardiovascular care, according to Siemens.
Researchers have established a suite of parameters that can be determined using ultrasound to quantitatively measure different physical characteristics of the lung. The researchers also demonstrated that the parameters can be used to accurately diagnose and assess the severity of lung diseases in an animal model.
Patient-centric scheduling can only be achieved through optimized radiology workflows, effective communications between staff and physicians, and, of course, through specialized schedulers. In this guide, we’ll take you through a step-by-step process to transform your radiology center into a high-performance hub of medical imaging.
The International Society for Magnetic Resonance in Medicine (ISMRM) has added five sets of MRI safety guidelines to its resource listings this year. The guides are designed to provide relevant safety information for users of MRI equipment. They cover the management of patients with the following: Coronary artery stents Heart valve prostheses and annuloplasty rings Vascular access ports Embolization coils used for cerebral aneurysms or arteriovenous malformations Passive, internal orthopedic imp
Offering a variety of AI features for streamlined workflow and enhanced visualization, the Acuson Origin ultrasound system also features the newly FDA-cleared AcuNav Lumos 4D ICE (intracardiac echocardiography) catheter.
AI technology developers Blackford and Imbio have established a commercial partnership to integrate Imbio's Lung Density Analysis and RV/LV Analysis software into the Blackford Platform. Lung Density Analysis and RV/LV Analysis are designed to support detection and quantification of findings on chest CT scans using texture mapping algorithms and segmentation techniques, according to Blackford.
On Graduate Medical Education (GME) Professionals Day, we are delighted to say Thank You to our residency and fellowship program directors and associate program directors, site directors, and program administrators.
About 40% of us will be diagnosed with cancer in our lifetime, and patients are getting younger. At the same time, the cost of treatment continues to rise, with employers spending 8.5% more on cancer care for each employee than they did last year. The best thing employers can do for their employees and business tomorrow is to invest in cancer detection and care today.
In a recent study of 10,090 body CT scans , reviewed by attending physicians in the abdominal division, no significant difference in error rates was found between day and night studies. The study identified 44 errors in 2,164 day studies and 226 errors in 7,446 night studies. The research highlights that body CT studies often have higher error rates when interpreted by non-specialists due to the complexity of evaluating multiple organs.
The University of California, San Francisco (UCSF) Department of Radiology and Biomedical Imaging welcomes Rajesh Shah, MD, to the Interventional Radiology (IR) division as a Professor of Clinical Radiology and Director of Clinical Trials.
The integration of cone beam CT imaging in research labs is revolutionizing orthopedic investigations. Dr. Zong-Ming Li, PhD, David Jordan, and Trevor Grant from the University of Arizona discuss the transformative impact of the inReach system from CurveBeam AI on their work. The Hand Research Laboratory at the University of Arizona focuses on solving orthopedic-related clinical problems, including carpal tunnel syndrome and arthritis.
New research indicates that an MRI scan can assist in predicting whether intermediate-risk prostate cancer patients might develop more aggressive cancer within five years.
Discover how Color's comprehensive care solution is revolutionizing cancer screening adherence and knowledge. Through an in-depth case study, Color's unique approach to comprehensive cancer care has shown significant benefits in increasing screening rates and enhancing patient knowledge. Participants reported a 2-3x increase in adherence to screening guidelines over just 8 weeks, with 84% of participants increasing their familiarity with timing and frequency of cancer screening.
Imagine you’re a clinician at a health system, knowing that your database is packed with relevant clinical insights. You know this data can be incredibly helpful in navigating the nuances of each patient case, as there could be pertinent information that influences the treatment path you prescribe. The challenge is that you can’t always access this data or make it actionable, and if you can it’s not likely to be within a relevant clinical timeframe.
Cardiovascular MRI combined with an AI model can predict heart failure risk in the general population by estimating pressure in the heart, according to research published August 12 in the journal European Society of Cardiology Heart Failure. A team led by Ross Thomson, of Queen Mary University of London in the U.K., and senior author Pankaj Garg, MD, of the University of East Anglia in Norwich, U.K., conducted a study that found that individuals with higher heart pressure measured by MRI had a f
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