Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
The cause of hallucinations and delusions that start in midlife or later is often unclear. In a new study, PET/MR scans reveal that these symptoms may be linked to brain changes also seen in dementia.
PET/CT can add valuable information to aid the diagnosis of fever of unknown origin (FUO), directly influencing the clinical management in nearly 75% of patients, a new study finds.
Using a two-step AI approach, researchers have developed a computationally efficient new method to detect and classify brain tumors from MRI scans more accurately.
Low brain metabolism as measured from 18F-FDG PET/CT is associated with higher mortality in patients with advanced non–small cell lung cancer (NSCLC), according to new research.
A second prostate-specific membrane antigen (PSMA) PET scan changed treatment plans for nearly half of prostate cancer patients whose first scan was negative, according to new research.
A new portable ultrasound system could make breast imaging more accessible. The device generates high-res, 3D images of breast tissue, requires no expertise to operate and could be used at home.
Will artificial intelligence (AI) render radiologists obsolete? What seemed a likely scenario only nine years ago, has now given way to a quite different reality: At RSNA 2025, two experts outlined how AI tools are becoming essential allies – not replacements – for radiologists facing an unprecedented workforce crisis.
Past and present leaders of the European School of Radiology (ESOR) reflected on the evolution of radiology education in Europe and the challenges facing the specialty at ECR 2026 to mark the 20th anniversary of the school.
AI models can now assess breast cancer risk directly from changes in screening mammograms over time, a new study shows. This opens the door to a new era of dynamic breast cancer risk assessment.
Measuring radiodensity of visceral fat and muscle from CT scans, researchers have identified a new biomarker that may help determine the prognosis for patients with gastric cancer.
Imaging pregnant women with acute abdominal pain remains a significant clinical challenge – not only because of concerns about the impact on the unborn child, but also due to the anatomical changes that can obscure diagnosis. At the European Congress of Radiology (ECR) in Vienna, radiologists Vikas Shah and Charis Bourgioti examined the protocols for safe imaging in pregnancy and the management…
A new high-res PET scanner is making its clinical debut at UZ Leuven. The scanner makes it possible to detect earliest signs of brain diseases, years before a patient experiences the first symptoms.
Advanced multiparametric MRI performed before kidney tumor surgery could help identify patients at higher risk for kidney function decline and chronic kidney disease after nephrectomy.
Ultrasound imaging is notoriously difficult to master, as the operator has to mentally arrange a 3D object from 2D images. A new approach using augmented reality (AR) could help speed up the training.
Researchers developed a simple, rapid, and low-dose X-ray technique to evaluate the severity of pulmonary valve regurgitation – a common complication after surgical repair of Tetralogy of Fallot.
A novel PET imaging framework reveals that bariatric surgery impacts not only body weight, but also the metabolic function of organs. These insights could support more precise treatment monitoring.
A novel portable, point-of-care PET scanner could provide a cost-effective approach for hospitals to perform biopsies, tumor ablations, and other procedures in constrained clinical environments.
A new PET imaging approach that measures synaptic density in the spinal cord provides a quantitative way to assess the brain's functional wiring in patients with multiple sclerosis.
Researchers have produced the first 3D map of the heart’s electrical wiring in Tetralogy of Fallot, revealing features that may explain why many patients develop heart conduction disorders.
A new AI-based method can reduce the time required for certain MRI brain scans by up to 90% while maintaining a high level of accuracy, paving the way for more efficient and accessible neuroimaging.
A new study shows that diaphragmatic dome height (DDH) - a simple measurement from routine chest X-rays - can help predict survival among patients with lung cancer and breathing disorders.
Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease without additional scans. At RSNA 2025, researchers presented two AI-powered tools that transform standard chest X-rays and CT scans into opportunistic screening devices.
By combining two specific markers from a standard cardiac CT scan, researchers were able to identify patients at the highest risk for future heart failure and death.
MEDTRON AG, one of the leading European manufacturers of contrast media injectors and medical technology “Made in Germany,” is expanding its product portfolio with a groundbreaking innovation: With Syriflow® MR, the company introduces a new syringe pump specifically designed for use in MR imaging.
One phishing email sends an entire county’s health service back into the age of pen and paper for months. A hidden prompt is buried within an abdominal CT image: At ECR 2026 in Vienna, cybersecurity experts presented real-world cases that read like ghost stories: tales that exemplify new vulnerabilities in modern AI-driven radiology systems – and how to avoid them.
