The combination of deep-learning reconstruction and a subtraction technique yields promising diagnostic performance for the detection of in-stent restenosis by coronary CTA.
At ECR, companies routinely present their latest diagnostic solutions to the audience, and Hologic is no different. However, at this year’s congress, the manufacturer went beyond just showcasing new systems for women’s health. Additional focus topics were the mitigation of the pandemic impact on screening programmes and the situation of women around the world without access to advanced…
Researchers for the first time compared schizophrenia and frontotemporal dementia, disorders that are both located in the frontal and temporal lobe regions of the brain.
Functional ultrasound localization microscopy (fULM) captures the cerebral activity at the micron-scale, opening up major future clinical perspectives for the diagnosis of cerebrovascular pathologies.
An advanced form of cardiac MRI has for the first-time enabled clinicians to measure the effectiveness of chemotherapy in patients with the life-limiting condition ‘stiff heart syndrome’.
Patients with multiple architectural distortion (AD) identified on digital breast tomosynthesis may benefit from biopsy of all areas, given the variation of pathologic diagnoses across individuals.
As knowledge about Covid-19 advances, so does the arsenal of techniques to predict, diagnose and follow up on the disease. At this year’s ECR, researchers presented a range of promising imaging modalities to keep track of Covid-19 symptoms, severity, and mortality, often including AI support to enhance or accelerate diagnostics.
AI-based diagnosis is undoubtedly one of the most promising subjects when we talk about the future of radiology. Now, a couple of new studies indicate that most radiologists are open to using the technology and this for good reasons.
Building artificial intelligence (AI) tools that clinicians and patients can trust, and easily use and understand, are core to the technology being successfully deployed in healthcare settings.
Multiparametric ultrasound (MPUS) has proven its value in the abdomen – now, the technique is increasingly moving towards peripheral areas such as breast and testis imaging, experts showed in a dedicated session at ECR 2022.
Rapid technical advances in ultrasound and increasingly tight healthcare budgets call for a change in ultrasound practice, experts explained in a session at the ECR in Vienna. Two experts presented possible models for the next two decades.
Researchers have developed cutting-edge imaging technology to help doctors better diagnose and monitor patients with heart failure. The state-of-the-art technology uses magnetic resonance imaging (MRI) to create detailed 4D flow images of the heart.
Using functional MRI with inhaled xenon gas, researchers have identified that long COVID symptoms are related to microscopic abnormalities that affect how oxygen is exchanged from the lungs to the red blood cells.
Physicians use AI-powered technology for faster and earlier detection of diseases. At ECR Overture, Dr Steven Schalekamp, PhD, discussed the application of AI for chest radiography in paediatrics.
Contrast-enhanced mammography (CEM) may be a useful alternative test for neoadjuvant therapy (NAT) response assessment in patients with breast cancer who are unable to undergo MRI.
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
Incorporating AI support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.
Medical imaging and radiotherapy treatment devices are essential lifesaving technologies. In an era when hospital information systems are increasingly being attacked by cybercriminals, just how protected and safe is this equipment?
Researchers visualize brain inflammation using diffusion-weighted MRI. This detailed "X-ray" of inflammation cannot be obtained with conventional MRI, but requires data acquisition sequences and special mathematical models.
