The pandemic has presented healthcare systems with new challenges, resulting in backlogs of routine screenings and delayed procedures which threaten the health and wellbeing of patients, as well as the ability of facilities to serve their communities. In order to address these widespread issues, we need to ensure that healthcare professionals are able to operate with precision, confidence and…
Dunlee announces that it has successfully installed its first CT replacement tubes with liquid metal bearing (LMB): the new DA200P40+LMB tube with Dunlee CoolGlide technology. Prior to this first installations, the DA200P40+LMB tube with Dunlee CoolGlide technology was rigorously tested at both Dunlee's facility and on independent external gantries to confirm that it will perform reliably in both…
Febromed GmbH & Co. KG, the expert in delivery room equipment and medical accessories from Oelde, Germany, has developed “get up”, an innovative handle system for radiology.
Body composition information derived from routine chest CTs can provide important information on the overall health of people with chronic obstructive pulmonary disease (COPD), including their risk of all-cause mortality. This is the result of a new study, published in Radiology. COPD is a group of chronic, progressive lung diseases that affect about 30 million people in the United States alone.…
Medical technology company iCAD, Inc. announced that ProFound AI for 2D Mammography might notably reduce the risk of interval breast cancer, according to a new retrospective analysis. The aim of the study was to determine if adding AI to reading mammography as a supportive tool may help in decreasing the interval cancer rate in population-based organized mammography screening programs in Germany.
Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer. Current handheld gamma imaging tools are small and easy to use, but are limited to providing 2D information, giving doctors and surgeons only part of the overall picture. Much larger systems are able to give three-dimensional images, however, they are bulky and complex – often…
Liquid metal bearing (LMB) technology has been a key aspect of extending the lifespan of CT scanners, improving workflow, and enhancing patient and operator experience via noise reduction. The LMB concept has been pioneered by Dunlee, with senior CT product manager Robert Bayerlein noting that the Hamburg-based company has a long heritage in imaging innovation.
GE Healthcare has launched a new wireless, pocket-sized ultrasound system called Vscan Air. The device runs in the tradition of GE's Vscan Family systems, of which the company report over 30,000 to be in use worldwide. The system is designed to transform the clinical exam by making it easier to acquire high quality ultrasound images. “Many of us are pressed to see patients, to give patients…
MRI scanning can more precisely define and detect head, neck, thoracic, abdominal and spinal malformations in unborn babies, finds a large multidisciplinary study led by King’s College London with Evelina London Children’s Hospital, Great Ormond Street Hospital and University College London (UCL). In the study, published in Lancet Child and Adolescent Health, the team of researchers and…
In the move to evidence-based medicine, healthcare budgets put more pressure on efficiency, while quality of care has to meet ever increasing standards. Agfa has chosen to direct its development of artificial intelligence (AI) solutions towards helping radiology departments meet these challenges. Agfa’s SmartXR AI upgrades for its digital radiography portfolio focus on supporting operational…
Hyperpolarized MRI is a recent development and its research and application potential has yet to be fully explored. Researchers at Johannes Gutenberg University Mainz (JGU) and the Helmholtz Institute Mainz (HIM) have now unveiled a new technique for observing metabolic processes in the body. Their singlet-contrast MRI method employs easily-produced parahydrogen to track biochemical processes in…
AI is revamping workflows and experts showed how radiologists can integrate it into their department to improve daily practice and healthcare at ECR. The panel also discussed the health economics side of AI to help radiologists define which products make more economic sense for their department. The session tackled automated organ segmentation, an interesting application for AI in radiology.
Magnetic resonance imaging (MRI) is widely used to identify the narrowing or blockage of blood vessels. Contrast agents improve the visibility of the structures and offer more accurate information of vascular conditions such as vascular blockage and stenosis. Commonly used gadolinium-based contrast agents must be administered in chelated forms due to the gadolinium ions' high toxicity and pose…
Whole-body magnetic resonance imaging (WB-MRI) can detect prostate cancer and inform about treatment response and disease progression earlier and better than other imaging modalities. A Belgian expert will delve into the latest and future developments of the technique for prostate cancer and distant metastases imaging in a dedicated session at ECR. WB‐MRI and nuclear medicine -…
Hitachi Medical Systems Europe (HMSE) announces the release of "Aperto Lucent Plus", 0.4 Tesla permanent Open MRI and "Airis Vento Plus", 0.3 Tesla permanent Open MRI system, both equipped with "SynergyDrive", at the ECR 2021 pop-up world tour. Since the launch of "Airis", the first permanent MRI system back in 1996, Hitachi has been highly recognized for…
With a growing number of Artificial Intelligence (AI) algorithms to support medical imaging analysis, finding the best solution for specific radiology tasks is not always straightforward. Many are cloaked in secrecy and commercial sensitivity and while an algorithm may perform well in one area, evidence of performance and adaptability in another environment is not always available.
One of the leading figures in global radiology has highlighted the importance of fostering a strong eco-system to advance the safe and effective implementation of AI in medical imaging. Dr Geraldine McGinty said that to fully leverage the power of AI, all stakeholders must work together but underlined the unique responsibility physicians have to ensure patient interests are best served.
Tumour metabolism can be imaged with MRI as a technique to help determine cancer aggressiveness and response to therapy. The work by a UK-based group, on probing cancer metabolism non-invasively with clinical hyperpolarised carbon-13 MRI, can detect metabolic changes in the tumour. As metabolic changes occur much earlier than change in tumour size, this could have implications for quicker…
At this year's virtual ECR congress, Ziehm Imaging showcases its portfolio of mobile C-arms and advanced imaging solutions. Highlights on display include two clinical packages for cardio and vascular interventions based on the fully motorized Ziehm Vision RFD Hybrid Edition, that provide clinical users with state-of-the-art imaging support and further workflow integration. The virtual booth,…
Harnessing the power of radiomics, and adopting an integrated approach to combine imaging and patient data could lead to better clinical cancer outcomes. The move has opened the door for clinicians to explore a non-invasive approach to identify the heterogeneity of a tumour and more accurately target regions for biopsy. During a presentation at ECR 2021 in March, Professor Evis Sala will…
The management of biopsied breast lesions that are diagnosed as abnormal but are not definitively malignant is challenging and controversial. Treatment ranges from diligent follow-up, with imaging and subsequent biopsy, to surgical excision. Researchers at the Medical University of Vienna (Medizinische Universität Wien), Austria, have developed and validated a software algorithm designed to…
Implementation of artificial intelligence into Scotland’s national breast screening service is moving closer following an initial success with a trial project. While Scotland’s breast screening trial has delivered highs and lows, significant hurdles have been overcome in terms of approvals, governance and patient acceptance.
The impact of Covid-19 has been devastating; countless lives lost, millions of infections worldwide, health systems overwhelmed and economies rapidly shrinking. Screening, such as for breast or cervical cancer, is an area particularly affected, with numerous appointments delayed.
A new deep learning system to help radiologists improve their workflow efficiency when reading high volumes of screening mammograms is being developed at Johns Hopkins University’s Radiology Artificial Intelligence Lab (RAIL) in Baltimore, MD. DeepCAT (Deep Computer-Aided Triage) is focused on workflow prioritization.
Digital breast tomosynthesis (DBT) increases detection of breast cancer in symptomatic women under the age of 60, especially in dense breasts. A large, multi-institutional study conducted in the United Kingdom comparing the sensitivity of full-field digital mammography (FFDM), DBT, and FFDM plus DBT supports findings of two similar published studies, both conducted in China in the same time frame.
