The risk of developing breast cancer is higher in breasts with high density. But why is that? Researchers at Linköping University have shown major biological differences that promote cancer growth.
99mTc-Sestamibi SPECT/CT can aid in the diagnosis of solid renal lesions, especially in cases where contrast enhanced CT findings are inconclusive, according to researchers from the Mallinckrodt Institute of Radiology at Washington University School of Medicine in St. Louis, Missouri.
To assess diffuse liver disease, MRI is currently the modality of choice. New developments in artificial intelligence (AI) could tip the scales in favour of CT imaging. At ECR 2022 in July, experts showed how AI technology enables CT to quantify liver fat as exquisitely as MRI.
Women with high-risk breast lesions (HRLs) and no family history of breast cancer or BRCA mutations are generally considered to be at moderate risk of developing breast cancer. Breast cancer screening guidelines suggest breast MRI be considered as a supplement to mammography. But is this expensive exam necessary?
Pancreatic cancer tumours are being missed on CT and MRI scans, narrowing the window for life-saving curative surgery, research presented at UEG Week 2022 has revealed.
Researchers propose a new approach to identify cancerous tissue for surgical removal, based on real-time imaging of tissue oxygen concentration.
US researchers have developed a test to detect loss of myelin - a key contributor to many neurological diseases including multiple sclerosis, traumatic brain and spinal cord injuries, stroke, and dementia.
Recent advances in CT have focused mainly on software, yet new technology could push the modality much further, experts showed at ECR 2022.
A research team has investigated how contrast agents disperse inside cells. This could improve the assessment and further development of these agents and contribute to future medical diagnostics.
Bayer recently announced the launch of Calantic Digital Solutions, a new platform delivering access to digital applications, including artificial intelligence (AI) enabled programs for medical imaging.
US scientists and engineers have found a way to improve the performance of traditional Magnetic Resonance Imaging (MRI) reconstruction techniques, allowing for faster MRIs to improve healthcare.
In MRI-based monitoring of silicone implants, separation of silicone and fat tissue is challenging. A newly developed algorithm was designed to assist in the task.
Ethical considerations continue to fuel the discussion around artificial intelligence (AI), a panel of experts showed at ECR 2022.
New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.
New method for the detection of alcohols combines zero- to ultralow-field nuclear magnetic resonance with the SABRE-Relay hyperpolarization technique.
Novel 3D imaging could comprehensively characterize a part of the brain that shows perhaps the earliest accumulation of tau protein, an important biomarker for the development of Alzheimer's disease.
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.
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.
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.