Many women are only diagnosed with breast cancer after they present to a doctor with symptoms. A new study points out that early detection through screening leads to improved outcomes.
What if every radiographer could help combat climate change while performing their daily work? Following the congress theme of ECR 2025, experts revealed how small changes – from education initiatives to simple workflow adjustments – can collectively transform the environmental impact of radiology.
United Imaging, a global leader in cutting-edge diagnostic imaging and radiotherapy solutions, proudly unveils two groundbreaking additions to its portfolio — the uMI Panvivo and the uMR Ultra — both newly CE-marked and set to redefine the standards of precision and performance in medical imaging.
Medical device manufacturer Medtron is expanding its portfolio with two new reusable syringe models. The new products will be presented to the public for the first time at the German Radiology Congress in Wiesbaden.
Experts from the University of Nottingham have proven that multiple sclerosis can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture.
Diagnosing breast cancer in women with extremely dense breasts often comes down to MRI, but the scans take long and are expensive. Research confirms that shorter protocols also yield accurate results.
Integration of large language models (LLMs) in healthcare is still in its early stages, but expected to expand rapidly. Now, researchers point out potential cybersecurity vulnerabilities in radiology.
Using radiomics on mammograms of over 30,000 women, researchers have identified six breast texture patterns that may be associated with increased cancer risk.
People at risk of cardiovascular disease could be identified a decade before they have a heart attack or stroke, a new University of Dundee study has discovered.
A new 4D flow MRI method could accelerate diagnosis of aortic stenosis, a progressive and potentially fatal heart condition.
A novel deep-learning approach automatically finds and classifies microcalcifications found in mammography images—bringing both accuracy and consistency to breast-cancer screening.
Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.
A new biomarker for multiple sclerosis: the inflammatory cell rim from microglial cells surrounding brain lesions was found to directly correlate with the severity and speed of disease progression.
Announcing the first edition of the MSK Imaging in Sports Medicine, with the unrestricted support of Esaote. The event will take place on May 30, 2025, in Florence, Italy, at Viola Park, one of the largest sports centers in Europe.
Bringing diagnostics and therapy closer together - that is the basic concept behind theranostics. Through further development of its PET/MR scanners, Siemens Healthineers aims to advance this approach. Andreas Schneck, Head of the MRI Division at Siemens Healthineers, talks about the new system, which was also presented at the European Congress of Radiology (ECR) in Vienna, and its advantages in…
Using an advanced PET scanner, US radiologists explore how cancer, neurodegenerative diseases and other systemic conditions, can affect the brain by assessing the impact on the blood-brain barrier.
United imaging announces the successful installation of their digital PET/CT system uMI 550 at Centre Mèdic Alomar in Barcelona. Equipped with comprehensive cardiac imaging features, its use extends beyond cardiology.
Breast MRI has emerged as a powerful diagnostic tool, particularly for women with dense breast tissue where traditional mammography faces limitations. In her presentation at ECR 2025, radiographer Hanna Kalliomäki highlighted several technological advances transforming breast cancer detection and diagnosis. From time-saving abbreviated protocols and AI-assisted analysis to contrast-free…
Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.
Nuclear medicine (NM), one of the more mature technologies of diagnostic imaging, has been experiencing a rebirth in innovation and interest. The increasing prevalence of cancer,, an aging global population, and greater longevity, has created a robust demand for nuclear medicine. At ECR in Vienna, presenters explored market perspectives, but also safety and sustainability challenges.
Despite previous global declines, pulmonary tuberculosis (TB) is on the rise again. A new AI-powered lung ultrasound shows promise in improving diagnostic performance of TB.
A new AI tool can extract key information from brain MRI scans of multiple sclerosis (MS) patients. This could be used to improve disease and treatment response monitoring.
Contrast agents, AI and circular economy: Bayer presented new developments for radiology at the ECR Congress. Particular emphasis was placed on digital assistance systems and sustainability.
Using the COX-2 enzyme, a new PET imaging approach offers a never-before-seen view of inflammation in the brain, opening the door for clinical and research settings for various brain disorders.
3 out of 10: Mammography screening has been shown to be effective in reducing breast cancer mortality. Still, many cancers are diagnosed between screening rounds, a new study shows.
