Synapse VNA is the true-VNA application for the content management of images and medical information at the enterprise level; it is an open storage solution, secure, scalable, standard-based and focused on medical data, DICOM and native non-DICOM objects coming from any medical departmental system. Synapse VNA is a patient-centric Vendor Neutral Archive that can be configured to manage the data…
The COVID-19 pandemic is putting extra pressure on radiology services. Radiographers are particularly at risk of catching and spreading the disease. This is why they must follow strict cleaning and disinfection protocols, according to Pablo Valdés Solís, President of the Spanish Society of Radiology (SERAM), who has just published new guidelines on how to protect staff and patients, as the…
SymphonyAI Group, an operating group of leading business-to-business AI companies, announced the acquisition of TeraRecon, the market-leading advanced visualization and AI solution provider for medical imaging. As SymphonyAI Group’s seventh portfolio company, TeraRecon has a charter to establish a new portfolio of healthcare AI solutions focused on medical imaging. Using newly patented AI and…
The world’s only online image-based COVID-19 diagnosis improvement tool for healthcare workers is launched by University of Sydney spinoff DetectED-X, drawing on its global experience and outcomes in breast cancer detection and patient cases from the coronavirus pandemic. The cloud-based technology will help doctors and radiologists diagnose cases faster and more accurately. Computed tomography…
A special report by the European Society of Radiology (ESR) addresses the role of radiology in fighting COVID-19. In an expert interview with Prof. Nicola Sverzellati from the University of Parma, Italy, he will share insights on the experience of patient and imaging management in Europe's currently most affected area. Together with ESR Second Vice-President Dr. Adrian Brady from Cork, Ireland,…
Like most technologies, X-ray imaging software is evolving, delivering more automation and improved image quality. However, the fundamental imaging basics for radiologic technologists remain unchanged. In this article, manufacturer Carestream provides a helpful review of the imaging basics for rad techs. In today’s digital world, basic functions once performed by the operator are now…
Chest X-ray is the first imaging method to diagnose COVID-19 coronavirus infection in Spain, but in the light of new evidence this may change soon, according to Milagros Martí de Gracia, Vice President of the Spanish Society of Radiology (SERAM) and head of the emergency radiology unit at La Paz Hospital in Madrid, one of the hot spots for viral re-production of COVID-19.
Carestream Health earned the highest position in TractManager’s MD Buyline User Satisfaction Ratings across three categories—portables, X-ray detectors and room-based digital radiography systems—during 2019 survey periods. Carestream’s DRX-Evolution Plus and DRX-Ascend systems scored high marks for performance, reliability, installation and service. The DRX-Plus 3543 detector remains the…
Re-using clinical data for research is an academic and organisational challenge, but there is much to gain from this to advance healthcare. During the January Triangle leadership meeting in Madrid, Dr Xavier Pastor, CMIO at Hospital Clínic – Universitat de Barcelona, explained how his institution developed one of Spain’s first programs to promote real world data use in research projects.…
Radiology, pathology, medical genetics and laboratory medicine under one roof: many hospitals are toying with the idea of ‘integrated diagnostics’ but it was the medical management at Geneva’s University Hospital that dared to take the first step and consolidate all these diagnostic disciplines in a single organisational unit: The Diagnostic Department. ‘Our long-term vision is a…
Examining the safety of AI integration into clinical workflow during at the British Institute of Radiology (BIR) annual congress in London, this November, Professor Nicola Strickland focused on issues of data quantity and quality, regulation, validation and testing of algorithms. She also urged radiologists and computer scientists to work more closely together to develop safe, effective and…
Blockchain is a concept that could have significant benefits for healthcare – particularly in radiology – but several challenges remain. Although an effective conduit through which to share data and medical images, particularly across health systems, one drawback is speed, given the amount of data that can be involved. However, Professor Morgan McBee, paediatric radiologist and imaging…
Imaging biomarkers (IB) have advanced tremendously since first described 25 years ago, but many challenges still block their widespread use. During the EuSoMII’s annual meeting in Valencia, Dr Ángel Alberich-Bayarri gave pragmatic solutions to tackle current bottlenecks and explained why close surveillance is mandatory for further development of IB. However, these need close surveillance with…
A new strategy to transform imaging in the UK’s National Health Service (NHS) has been unveiled after a major data-gathering project to assess the present state of the service. The process will see the creation of a national strategy for imaging networks designed to deliver improved care and better value services for patients. Key to this has been ‘The Model Hospital’ concept – a digital…
Errors in breast imaging: the subject is vexing. How to avoid or address errors are also concerning. These subjects lay at the core of a presentation to radiologists during the recent annual congress of the British Institute of Radiology, when consultant radiologist Dr Rosalind Given-Wilson described the how, where, and what of errors or near misses, along with their impact on patients and…
As a highly innovative medical specialisation, radiology increasingly takes advantage of the possibilities offered by artificial intelligence (AI). Yet, there is no risk for the future of the specialty. Demands on this discipline are too complex, too communicative. Thus, machines will not replace a radiologist any time soon – of that Uwe Joseph Schöpf, professor of radiology, cardiology and…
The British Institute of Radiology (BIR) and a working party of UK radiological professional bodies and agencies have published evidence-based guidance which shows that patient contact shielding (such as aprons, thyroid or gonad shields) provides minimal or no benefit. It concludes that there are other areas of radiation protection which are more effective in optimising radiation exposure such as…
The 2020 edition of the European Congress of Radiology (ECR) in Vienna, which had been postponed due to safety concerns regarding COVID-19, will not take place on site this year. Instead, the congress organisers at the European Society of Radiology (ESR) opt for an online-only event: "It is with a heavy heart and much regret that the Board of Directors of the European Society of Radiology…
In a study of more than 1,000 patients published in Radiology, chest CT outperformed lab testing in the diagnosis of 2019 novel coronavirus disease (COVID-19). Researchers at Tongji Hospital in Wuhan, China, concluded that CT should be used as the primary screening tool for COVID-19. In the absence of specific therapeutic drugs or vaccines for COVID-19, it is essential to detect the disease at an…
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…
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 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…
A computer algorithm has been shown to be as effective as human radiologists in spotting breast cancer from x-ray images. The international team behind the study, which includes researchers from Google Health, DeepMind, Imperial College London, the NHS and Northwestern University in the US, designed and trained an artificial intelligence (AI) model on mammography images from almost 29,000 women.…
