ESC Congress, Paris: Two key strands in the ‘Controversies in imaging coronary artery disease’ session at the congress will examine the pros and cons of imaging use for coronary artery disease risk stratification in asymptomatic patients; the second strand will focus on whether CT angiography should be the first choice for imaging coronary artery disease in patients with stable chest pain.…
Interventional cardiologists have been aware of the value of intracoronary (IC) imaging in clinical practice for more than twenty years. However, recent developments and improvements in modalities and software have enabled huge strides in its range and scope for both diagnostic assessment and in percutaneous coronary interventions. Imaging options now include intravascular ultrasound (IVUS),…
In a symposium on September 9, 2019, the School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, provides an overview about current trends in artificial intelligence (AI) in medical imaging. From 8.30 to 17.00, participants in sitem-insel, Freiburgstraße, Bern will learn about the principles of AI as well as innovative applications in the…
Pathologic-radiologic correlation is already utilised in various settings as a tool to assess the interpretive performance of imaging studies and identify radiologic features corresponding to histologic findings. However, correlative assessment is currently limited mainly to the fields of research and quality assurance, and is generally not a routine element of the radiologist or pathologist…
The School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, offers a new Certificate of Advanced Studies (CAS) in Artificial Intelligence in Medical Imaging. The course aims to equip Medical Doctors (MDs) with the necessary skills to take a leading role in the AI-driven transformation of medicine. The course program was developed for medical…
Prostate-specific membrane antigen imaging should be the positron emission tomography imaging agent of choice for men who have a prostate cancer recurrence after radical prostatectomy, which needs to be detected and located. For these men, it should become the standard of care, new research shows.
In a new study, led by the University of Glasgow, scientists show that brain activity recorded using functional magnetic resonance imaging (fMRI) may help predict response to CBT in depression before the treatment commences. The advances could help patients receive the most appropriate treatment for depression in a timely manner.
Royal Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est region of France, announced a 10-year agreement to implement Philips’ IntelliSpace Enterprise Imaging Solution, including Illumeo with adaptive intelligence. CHRU de Nancy is a public health institution that provides 1.2 million consultation visits and inpatient stays each…
MRI is a complicated imaging modality and improving it requires a deep understanding of the physics involved. Scientists at Boston University have been working on improving MRI’s signal-to-noise ratio using special metamaterials that are made of arrays of helical resonators.
Carestream introduced its newly designed small-format CARESTREAM DRX Plus 2530C Detector with cesium iodidetechnology. This X-ray detector has a resolution of 98 microns and delivers enhanced resolution to capture the fine detail of smaller anatomical structures present in pediatric patients.
FUJIFILM displayed its evolving portfolio of medical informatics and Enterprise Imaging innovations, by presenting REiLI, Artificial Intelligence (AI) Medical Imaging initiative at HIMSS & Health 2.0 Conference.
Doctors could soon get some help from an artificial intelligence tool when diagnosing brain aneurysms—bulges in blood vessels in the brain that can leak or burst open, potentially leading to stroke, brain damage or death.
Using artificial intelligence (AI) to push development of imaging biomarkers shows great promise to improve disease understanding. This alliance could be a game changer in healthcare but, to advance research, clinical validation and variability of results must be factored in, a prominent Spanish radiologist advises. In clinical practice efforts are already ongoing to apply AI to obtain new…
Spanish healthcare AI company QUIBIM announced that its AI-powered Chest X-Ray Classification tool has received CE certification. The company already obtained the class IIa CE mark earlier this year for the imaging biomarker analysis algorithms, the zero footprint DICOM viewer and the platform within the QUIBIM Precision platform, becoming the first Spanish firm to ever receive the clearance.
High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of ovarian cancer. The HGSOC tumors consist of several heterogeneous cell populations with a large number of mutations. This genetic variability makes it difficult to find drugs that would kill all the cancer cells, and to which the cells would not become resistant during treatment. Over half of the patients…
The speed of the human brain is remarkable. Almost immediately upon being exposed to stimuli, neurons are activated, prompting subconscious reactions and, a fraction of a second later, thought. But the speed at which we can noninvasively follow brain function using an MRI is not as impressive. Functional MRI (fMRI), which measures changes in blood-oxygen levels, has revolutionized neuroscience by…
With increased precision, speed of service and reduced cost, 3D printing presents an opportunity to transform traditional healthcare and its delivery, and radiology is at the center of this new technology. In the ECR 2019 Special Focus Session “The 3D printing lab from bench to bedside”, the speakers emphasized that 3D printing does not only enable a new and innovative way to display imaging,…
Researchers at the University of North Carolina School of Medicine used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy. “This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy,” said senior author John H. Gilmore, MD, Thad and Alice Eure…
Extended reality applications like virtual reality (VR) and augmented reality (AR) are mostly known for their use in the gaming or movie industries. However, in recent years, clinicians have begun exploring potential medical applications for those immersive technologies. In a Coffee and Talk session at ECR 2019, researchers from the Netherlands, Sweden, and the UK talked about practical…
The international LUCA consortium has developed a non-invasive, low-cost device that brings a new solution for thyroid cancer screening. Funded by the European Commission, the device aims to attain more precise and accurate diagnosis of thyroid nodules to help reduce unnecessary surgeries.
White matter on the brain is a difficult subject. Even the terminology is varied, making differential diagnosis complex. An understanding of prevalence and of the tools available to facilitate the diagnosis of individual diseases is important, Dr Gunther Fesl, radiologist at Praxis Radiologie Augsburg, explains. ‘Differential diagnosis of white matter on the brain is difficult. Even the…
Small spots on CT scans of the lungs of children with muscle cancer do not have an adverse effect on survival. This conclusion has direct consequences for the treatment of the disease.
A first-in-human study reports that the novel positron emission tomography/computed tomography (PET/CT) tracer 18F-GP1 showed excellent image quality and a high detection rate for the diagnosis of acute venous thromboembolism (VTE). Well-tolerated in patients, 18F-GP1 PET/CT also identified blood clots in distal veins of the leg below the knee, where conventional imaging has limitations.
Magnetic resonance imaging (MRI) exams of the knee are essential to orthopedic surgeons for diagnosing the cause of symptoms in patients with knee pain and planning arthroscopic treatment. Yet the surgeons who treat patients based on knee MRIs and the radiologists who interpret those knee MRIs often work in their own silos of specialization, rarely communicating and sharing information, according…
Using a common type of brain scan, researchers programmed a machine learning algorithm to diagnose early-stage Alzheimer's disease about six years before a clinical diagnosis is made – potentially giving doctors a chance to intervene with treatment.