Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
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…
In healthcare, time is a decisive factor. Especially in radiology speedy processes can help increase the quality of patient care significantly or even save lives. Just think of medical images or reports that were formerly (or still today) sent by mail as film or CD. Modern web portals for referring physicians or patients, however, can provide immediate access to medical results 24/7, thereby…
Esaote, an Italian company in the field of medical diagnostic imaging systems, recently delivered 103 portable ultrasound scanners in four Italian regions. An operation that confirms the full operation of the Company even during the COVID-19 emergency and strong support to the national health system. Esaote won the tender launched by Consip (central purchasing body procuring goods and services…
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,…
Capturing all the possibilities brought by AI long-seemed a faraway dream for hospitals, since most artificial intelligence (AI) solutions are vendor dependent, thus complicating their deployment in clinical practice. However, the dream has become reality at Utrecht UMC, which launched a pioneering AI infrastructure able to monitor information and run any algorithm from its HIS, RIS and PACS.…
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…
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.…
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…
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…
Novel advanced imaging biomarkers are being developed in a series of studies at several UK centres that may lead to the earlier assessment of treatment response to glioblastoma (GBM) and a better survival rate. Through a number of clinical trials – and the application of artificial intelligence (AI) to retrospective data sets – the aim is to highlight approaches that will enable clinicians to…
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…
The 2020 edition of the European Congress of Radiology (ECR) in Vienna has been postponed due to safety concerns regarding COVID-19: "After careful evaluation of the spreading coronavirus epidemic, and considering the recent statements issued by the WHO and the ECDC, and the related evolving world-wide restrictions and crisis, the ESR was forced to make this decision", the congress…
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. We spoke with Professor Valérie Vilgrain, from Hôpital Beaujon, Hôpitaux Paris-Nord Val de Seine, in Clichy, France, about the prevalence of cystic…
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. The subject, and wider role of CT in pelvic conditions, will be the focus of a presentation –…
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 the ECR 2019, three key speakers focused on the advantages over conventional imaging modalities – including bone and CT scans – as well as discussing new PET (Positron Emission…
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. Despite some…
