Men die about five years earlier than women across the world. As initiatives to boost awareness of men’s health unfolded in November, an international project is bringing the forefront of AI research to tackle prostate cancer (PC), the second most frequent type of cancer in men and the third most lethal in Europe. Over the next four years, the ProCAncer-I consortium will receive €10M EU…
To target ionised radiation as precisely as possible, imaging a tumour is vital in radiotherapy planning. ‘Today, imaging is used increasingly during the therapy itself,’ explained Professor Mark Ladd, Head of Medical Physics in the Department of Radiology at the German Cancer Research Centre (DKFZ) in Heidelberg, Germany, and President of the German Society for Medical Physics (DGMP), during…
Rather than using techniques separately, researchers have determined that coupling image-based and serum-based biomarkers achieves a higher diagnostic accuracy in detecting stage two liver fibrosis, or above. The study team, from the NAFLD Research Center, University of California at San Diego (UCSD), and colleagues at Yokohama City University in Japan, used magnetic resonance elastography (MRE)…
Prostate cancer radiotherapy treatments guided by MRI are increasingly being explored to help improve patient outcomes and reduce toxicities after treatment. However, this development is being held back as the MRI approach is labour intensive and requires daily adaptive treatment planning, placing significant additional demands on clinician time and oncology services. To address this, a team of…
Low, light and with a field strength: 0.55-tesla with added new digital technologies. Indeed, this is a very new class of MRI scanner created by Siemens Healthineers. We interviewed Christiane Bernhardt, Vice President of Magnetic Resonance Marketing & Sales, Business Line MR, at Siemens Healthineers, about the technologies behind this development, plus its advantages and applications.
Magnetic resonance imaging (MRI) is indispensable in medical diagnostics. However, MRI units are large and expensive to acquire and operate. With smaller and cost-efficient systems, MRI would be more flexible and more people could benefit from the technique. Such miniature MRI units generate a much weaker signal that is difficult to analyze, though. Researchers at the Göttingen Max Planck…
With its Magnetom Free.Max, Siemens Healthineers is presenting a new class of magnetic resonance imaging (MRI) systems that the company calls “High-V MRI.” The scanner’s unique combination of digital technologies and the new field strength of 0.55 tesla broadens the range of clinical applications for MRI systems. Magnetom Free.Max considerably improves pulmonary imaging with MRI and allows…
In the first study of its kind in cancer, researchers have applied artificial intelligence to measure the amount of muscle in patients with brain tumours to help improve prognosis and treatment. Dr Ella Mi, a clinical research fellow at Imperial College London (UK) will tell the NCRI Virtual Showcase, that using deep learning to evaluate MRI brain scans of a muscle in the head was as accurate and…
Is mammography still the best method for breast cancer screening? For a number of breast cancers, the latest scientific findings suggest otherwise. For more than a decade, Professor Christiane Kuhl MD, Director of the Clinic for Diagnostic and Interventional Radiology at the University Hospital RWTH Aachen, has researched the use of MRI in breast cancer screening. During a Bayer Healthcare…
The Society for Cardiovascular Magnetic Resonance (SCMR), a Society dedicated to improving cardiovascular health by advancing the field of cardiovascular magnetic resonance (CMR), has released a formal statement supporting and explaining their position on the use of CMR in COVID-19 patients. The topic has led to debate among medical professionals, especially those in the cardiology specialty.
Radiologist Dr Jamie MacKay has achieved international recognition for his research using advanced imaging to help patients with osteoarthritis and other musculoskeletal conditions. MacKay, who is a radiologist at the Norfolk and Norwich University Hospital (NNUH) and lecturer at University of East Anglia (UEA), has been elected as a Junior Fellow of the International Society for Magnetic…
Neuroradiologist Dr Sofie Van Cauter described the challenges to brain tumour image segmentation during the European Society of Medical Imaging Informatics (EuSoMII) annual meeting in Valencia. She also outlined how, when clinically validated, AI could help tackle such problems. The WHO classification of brain tumours has come a long way since first introduced in 1979. The 2016 classification was…
Random Walk Imaging AB (RWI), a company developing novel software solutions for diffusion magnetic resonance imaging (MRI), announced the launch of its first commercial software product for clinical researchers and radiologists. The dViewr Powered by Mice Toolkit is the result of a collaboration with Nonpi Medical AB, with whom RWI has entered into an exclusive license and development agreement…
The accuracy of breast cancer diagnosis via diffusion-tensor imaging (DTI) was equivalent both before and after the administration of a gadolinium-based contrast agent (GBCA), despite a value change in DTI parameters, finds a new research article. “However,” wrote first author Anabel M. Scaranelo of Princess Margaret Cancer Centre’s breast imaging division in Toronto, “the limitations in…
Manganese and iron oxide contrast agents can replace gadolinium-based contrast agents (GBCA) in a number of MRI examinations, but gadolinium remains a strong candidate when properly indicated, especially with AI-driven dose reduction and advances to increase relaxivity, a French expert explained at ECR 2020. GBCA have been MRI companions for many years. In France, 30% of all MR examinations are…
Injuries in the nervous system of patients with severe COVID-19 are revealed by magnetic resonance imaging (MRI) and computed tomography (CT). In a study of 185 patients, researchers at Karolinska Institutet (KI) and Karolinska University Hospital show an affection of microscopic blood vessels and inflammation in the brain, meninges and nerves. The results are published in Radiology.
Canon Medical Systems USA, Inc. has received 510(k) clearance on its Advanced intelligent Clear-IQ Engine (AiCE) for the Vantage Orian 1.5T MR system, continuing to expand access to its new Deep Learning Reconstruction (DLR) technology. This technology, which is also available on the Vantage Galan 3T MR system and across a majority of Canon Medical’s CT product portfolio, uses a deep learning…
Researchers have designed a fluid that works like a luminous ink to obtain very sharp images of damaged tissues, organs and cartilages in diagnostic tests. This new compound, still in the laboratory phase, reduces adverse effects on the human body because it allows lower amounts to be injected and the dose to be targeted only at the affected area.
The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…
This year’s ”MS Experts Summit” sees 18 clinicians and researchers convene online for seven sessions during this summer. Under the motto “People with MS: 360º evidence-based daily management” international speakers with expertise in various domains of multiple sclerosis (MS) exchange their latest advances in managing patients suffering from this disease. In his talk “MRI imaging in…
A new technique could enable vascular surgeons to reach even the more difficult body regions. Instead of pushing catheters into minute veins, the system, devised in Canada by Professor Sylvain Martel and team at the Polytechnique Montréal Nanorobotics Laboratory, uses magnetic forces to pull a guidewire, or catheter, into remote physical locations, guiding medical instruments into narrow and…
Recently developed MRI techniques used to more precisely target a small area in the brain linked to Parkinson's disease and essential tremor may lead to better outcomes without surgery and with less risk of negative effects, a new study led by UT Southwestern researchers suggests.
An algorithm that analyses MRI images and automatically detects small changes in knee joints over time could be used in the development of new treatments for arthritis. A team of engineers, radiologists and physicians, led by the University of Cambridge, developed the algorithm, which builds a three-dimensional model of an individual’s knee joint in order to map where arthritis is affecting the…
Random Walk Imaging (RWI), a company developing novel software solutions for magnetic resonance imaging (MRI), announced positive data from a study in multiple sclerosis (MS) patients using its proprietary scanning method and software protocol. Data from the study, which was conducted at the Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, demonstrated a…
MRI imaging is one of the best ways of examining different body tissue and obtaining information about injuries and illnesses. However, MRI scanners are typically large, heavy, and very expensive devices that need to be operated by specially trained healthcare personnel. Aalto University has just launched a project that studies and builds new magnetic resonance imaging technology, which enables…