Diagnostic Imaging • healthcare-in-europe.com

Article • Professor questions essential artificial intelligence safety

Facing facts: AI in clinical practice

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…

Article • From diagnostics to research

Clearing secondary use of clinical data

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.…

Article • 'The Model Hospital' for 2030

The NHS blueprint for imaging delivery

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…

Article • Potentials and pitfalls for IB development

Imaging biomarkers: Close surveillance is mandatory

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…

Article • Assessment of brain tumour treatment response

Developing AI algorithms for earlier glioblastoma detection

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.

Article • Integrated diagnostics

Radiologists, pathologists and geneticists gather around a digital table

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…

Article • Avoiding mistakes

Errors and near misses in breast imaging

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…

Article • 4D imaging, structured reporting and more

The ascent of AI in thorax-CT

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…

News • Glioblastoma

New imaging technique to study 3D printed brain tumors

Glioblastomas are complex, fast-growing malignant brain tumors that are made up of various types of cells. Even with aggressive treatment — which often includes surgery, radiation, and chemotherapy — glioblastomas are difficult to treat, leading to an average survival of 11-15 months. In research published in Science Advances, Xavier Intes, a professor of biomedical engineering at Rensselaer,…

News • "SOLUS" imaging project

Breast screening breakthrough to end unnecessary biopsies

Scientists from the project SOLUS (Smart optical and ultrasound diagnostics of breast cancer) under the EU funding framework programme Horizon2020 have developed a non-invasive, multi-modal, imaging system that uses ultrasound and light technologies to easily differentiate between benign or malignant lesions – without having to perform a biopsy. Similar to a pregnancy ultrasound appointment, a…

News • Radiation protection

Is contact shielding during X-rays, CT scans obsolete?

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…

News • Radiology congress (update)

ECR 2020 will be online-only due to coronavirus

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…

Ultrasound improves renal care at St Helier Hospital

St Helier Hospital in the London Borough of Sutton – part of the Epsom and St Helier University Hospitals NHS Trust – has one of the largest renal medicine departments in the UK, and relies on Fujifilm SonoSite point-of-care ultrasound (POCUS) systems to improve care and patient safety. Dr Pritpal Virdee, a senior registrar in the department, explained: “We have a very busy renal department…

News • COVID-19 in radiology

CT outperforms lab diagnosis for coronavirus infection

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…

Article • X-Nuclei MRI

Oxygen provides insights into tumour metabolism

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…

News • Early detection

Lung cancer screening: ESR welcomes release of NELSON trial results

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…

Cut through the AI hype

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…

News • Contrast & new biomarker

Detecting early-stage cancer with targeted MRI

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…

Article • Cystic lesions of the pancreas

A more complex question than ‘good’ vs ‘bad’

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.

Article • Underrated technique

Pitfalls in pelvic CT imaging

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.

News • Carbon-13 hyperpolarised imaging

Using magnetised molecules to monitor breast cancer

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…

News • 3D radiography extension

FDA clearance for Digital Tomosynthesis

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…

News • Deep learning & CNN

Algorithm differentiates small renal masses on multiphase CT

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…

News • MRI & machine learning

A look into the genome of brain tumors

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…

News • Stimulated Raman histology

Imaging system and AI algorithm accurately identify brain tumors

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…

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