Magnetic resonance imaging (MRI) usually measures the magnetic moment of the hydrogen atomic nuclei arising from the spin. However, scientists at the German Cancer Research Centre (DKFZ) are investigating the spin of other nuclei for imaging: ‘X-nuclei imaging has a large potential for MRI imaging as the x-nuclei play an important part in many physiological processes,’ according to doctor and…
The publication of the results of the Dutch-Belgian lung cancer screening trial (NELSON) supports recent calls to introduce lung cancer screening programmes throughout Europe. In light of the scientific evidence, lung cancer screening should be firmly embedded in any initiative launched by the European Commission and the Member States in the fight against cancer. As the leading cause of death…
It’s time to cut through the hype surrounding artificial intelligence and begin to understand the reality in terms of application in radiology. With many different algorithms available that cover a growing array of diagnostic and interpretational areas, Dr Anjum Ahmed believes hospitals and care providers now need to ask the right questions when weighing up AI implementation in their clinical…
A new method to detect cancer in its early stages using a targeted MRI contrast agent that binds to proteins has been identified by a team of researchers led by Georgia State University Regents’ Professor Jenny Yang. In their study, published in the journal Science Advances, Yang and her colleagues at Georgia State and Emory University describe a newly identified biomarker for detection of…
Cystic lesions of the pancreas can occur in many forms, not all of which pose a serious threat to the patient. A thorough diagnosis using multi-modality imaging is therefore indispensable to differentiate between benign and malignant lesions.
Computed tomography (CT) plays an increasingly important role in assessing pelvic disease, particularly when patients present with acute abdominal pain. In addition, radiomic approaches on CT are being developed to increase the characterisation of ovarian cancer for optimising treatment planning.
A new type of scan that involves magnetising molecules allows doctors to see in real-time which regions of a breast tumour are active, according to research at the University of Cambridge. The research was now published in Proceedings of the National Academy of Sciences. This is the first time researchers have demonstrated that this scanning technique, called carbon-13 hyperpolarised imaging, can…
Carestream’s Digital Tomosynthesis (DT) functionality—a three-dimensional extension of general radiography—has received 510(k) clearance from the U.S. Food and Drug Administration (FDA). Simplifying workflow and reducing exam time, DT technology is an upgradable option on the Carestream DRX-Evolution Plus System, a versatile digital radiography system that can perform a wide range of…
A deep learning method with a convolutional neural network (CNN) can support the evaluation of small solid renal masses in dynamic CT images with acceptable diagnostic performance, according to an article published ahead-of-print in the March issue of the American Journal of Roentgenology (AJR). Between 2012 and 2016, researchers at Japan’s Okayama University studied 1807 image sets from 168…
Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The work may help glioma patients to receive more suitable treatment faster, giving better outcomes. The research was recently published in Scientific Reports. Cancer treatment…
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors, a new study finds. Published in Nature Medicine, the study examined the diagnostic accuracy of brain tumor image classification through machine learning, compared with the accuracy of pathologist interpretation of conventional…
Brain imaging of pathological tau-protein “tangles” reliably predicts the location of future brain atrophy in Alzheimer’s patients a year or more in advance, according to a new study by scientists at the UC San Francisco Memory and Aging Center. In contrast, the location of amyloid “plaques,” which have been the focus of Alzheimer’s research and drug development for decades, was found…
The rapid scanning and dynamic imaging capabilities offered by point-of-care ultrasound make it an invaluable tool for emergency medicine. Dr Enrique Ortiz Villacian (from Emergency Services at Donostia University Hospital in San Sebastián) and Dr Juanjo Zafra Sanchez (from the Emergency Unit at San Eloy Hospital in Barakaldo) discussed the role ultrasound plays in their respective emergency…
Whole-body magnetic resonance imaging (WB-MRI) is championed as offering significant benefits, such as improving disease evaluation for prostate cancer patients. During an intense session in genito-urinary cancer at ECR 2019, three key speakers focused on the advantages over conventional imaging modalities as well as discussing new PET (Positron Emission Tomography) tracers.
This Christmas marks the 20th anniversary of the publication of “Magnetic resonance imaging of male and female genitals during coitus and female sexual arousal” in The BMJ. In its first year, it picked up the IgNobel prize for medicine, and has since become one of the most downloaded BMJ articles of all time. Dr Tony Delamothe, a former editor at The BMJ, ponders on its success.
Johns Hopkins engineers have created a new lens-free ultra-miniaturized endoscope, the size of a few human hairs in width, that is less bulky and can produce higher quality images. Their findings were published in Science Advances. “Usually, you have sacrifice either size or image quality. We’ve been able to achieve both with our microendoscope,” says Mark Foster, an associate professor of…
Bringing the power of AI to routine imaging, Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical’s Deep Learning Reconstruction (DLR) technology, is now being integrated across a broader portfolio of scanners with a wider range of clinical applications across modalities. Advanced intelligent Clear-IQ Engine (AiCE) was trained using vast amounts of high-quality image data, and features a…
Radiomics is one of the most exciting topics in radiology. It involves data and artificial intelligence (AI) but very few people know or understand the details. In her lecture ‘How does Radiomics work?’, presented at the German Radiology Congress in Leipzig, Professor Ulrike Attenberger outlined how radiomics will advance radiology but also the obstacles faced along the way.
At RSNA 2019, GE Healthcare launches more than 30 new, imaging intelligent applications and smart devices designed to drive efficiency in radiology departments, aiming to double productivity and cost savings for systems by 2025. For healthcare executives, the new offerings help systems to save costs, improve technology utilization, and increase patient volumes. Clinicians also will benefit from…
Agfa announces that it will launch the DR 100s high-productivity, ergonomic, mobile DR imaging solution, at RSNA 2019. With a customer-driven design that meets the needs of today’s healthcare environments, the DR 100s delivers a new force in mobile imaging. It combines agility, excellent DR image quality, fast image preview and a broad range of applications, including Chest, Abdomen, Skeletal…
Although breast cancer (BC) mammography screening enables early detection of breast cancer, mammography presents issues such as variability between the radiology readings and shortage of radiologists. This area of medical imaging is where artificial intelligence (AI) could help make the biggest difference and improve patient outcome.
A new, portable breast imaging system under development in Buffalo has the potential to better identify breast cancer in women with dense breast tissue. That is among the findings of a study published in the journal IEEE Transactions on Biomedical Engineering. The study was led by University at Buffalo researchers in collaboration with Roswell Park Comprehensive Cancer Center and Windsong…
Fujifilm Medical Systems U.S.A., Inc. will present research and development advancements in Artificial Intelligence (AI) for digital radiography at McCormick Place in Chicago during the 105th scientific assembly and annual meeting of the Radiological Society of North America (RSNA) from December 1 – 6, 2019. "AI has the potential to bring a wealth of advancements to the medical imaging…
Curious about how intelligent imaging can work with you in CT? Then join us at this year’s RSNA, North Hall, Booth #7530, where you can experience our new Somatom X.cite and myExam Companion.
Breast cancer screening is a well-designed and scientifically proven, evidence-based procedure, but has pitfalls such as under-detection and over-diagnosis. Surgery or radiotherapy may have serious consequences on health and must therefore be administered in carefully selected patients.
