Diagnostic Imaging • healthcare-in-europe.com

News • After a heart attack

3D mapping of post-infarction scarring increases prognostic potential of cardiac MRI

A multidisciplinary team of scientists based at the Universidad de Valladolid and the Centro Nacional de Investigaciones Cardiovasculares (CNIC) has developed a highly efficient method for identifying the 3-dimensional features of the scar tissue formed after a myocardial infarction. The study was carried out in partnership with scientists and clinicians at Hospital Clínico San Carlos, Hospital…

News • Promising algorithm

AI tool improves breast cancer imaging accuracy

A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists’ ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or…

News • Blood clots in the legs

Machine learning algorithm to diagnose deep vein thrombosis

A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don’t have it.

News • Medical Device Regulation

MDR certification for Agfa Class IIa solutions

Agfa HealthCare is proud to be one of the first companies to receive the new European Medical Device Regulation (MDR) certification, which was issued by Intertek on 25 August 2021. This certification, which covers Agfa HealthCare’s Class IIa Enterprise Imaging and Xero Viewer solutions, ensures that Agfa HealthCare can continue to deliver to customers innovative solutions that meet their real…

News • Imaging assistance

Deep learning method boosts MRI results without new data

When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize…

Article • Radiology debate

Discussion: the Pros and Cons of contact shielding

Contact shielding is one of the most divisive areas in radiography. Is it still essential in protecting patients from radiation, or has new technology made this precaution obsolete? Two experts debated the issue at the ISRRT congress in Dublin.

Article • Overheard at ISRRT

Radiography reflection of Covid on the frontline

Delegates at an international radiography conference were given an insight into the impact Covid-19 has had on their profession and practice in five countries across the world. A special session at the online ISRRT (International Society of Radiographers and Radiological Technologists) congress in Dublin (August 20-22) heard experiences from Thailand, Nigeria, Italy, India and Ireland, with…

News • Survival of patients

Unsupervised AI predicts the progression of COVID-19

Unsupervised deep learning breaks new ground by predicting the progression of COVID-19 and survival of patients directly from their chest CT images.

Article • SPECT/CT, MPI and more

The value of hybrid imaging in the cardiac arena

Combining imaging modalities is helping to achieve better diagnostic and therapeutic outcomes for heart patients. The topic, discussed in detail by experts at the ICNC-CT online International Conference on Nuclear Cardiology and Cardiac CT, examined hybrid/fusion imaging as the standard in cardiovascular imaging, and its value in clinical practice. Professor Terrence Ruddy spoke about the role of…

Article • Predictive plaques

Using AI for personalised prediction of heart attack

An AI-led device to assess coronary CT angiographs has been designed to assess cardiac plaque that may lead to myocardial infarction (MI). In his presentation ‘Vascular inflammation and cardiovascular risk assessment using coronary CT angiography’ (CCTA), Charambalos Antoniades, Professor of Cardiovascular Medicine at the University of Oxford, presented the research team’s findings during…

Article • Preventive cardiology

AI to measure coronary plaque in six seconds

Coronary computed tomography angiography (CCTA) is a non-invasive imaging test which can be used to evaluate coronary artery stenosis and measure plaques. Current plaque analysis is time-consuming and needs expert readers in order to help assess a patient’s heart attack risk. That’s about to change.

Article • Diagnosis, prognosis, prediction

AI offers advances in cardiovascular imaging

Artificial Intelligence (AI) is providing numerous opportunities across clinical care in the field of cardiovascular imaging. While challenges remain, AI is being applied in terms of diagnosis and prognosis, defining cardiovascular imaging pathways, and image acquisition and analysis. It can also help cardiologists predict which patients may do well, or which treatments are best applied to those…

C-arm adds accuracy to cardiovascular interventions

Alongside the worldwide increase in longevity, inevitably with chronic health conditions rising, cardiovascular procedures and OR utilisation have surged. Thus the efficient and safe performance of surgeries is even more important. The intraoperative use of mobile C-arms increases accuracy, improving clinical outcomes, which can significantly reduce revision rates and thus overall healthcare…

Article • Immersive imaging distraction

VR system to reduce MRI scan anxiety

Claustrophobia or anxiety can overwhelm small children and people with cognitive difficulties, especially in a confining and noisy MRI scanner tube. Their restless reactions can then render scan images useless. To help such patients to relax during scanning, a team from King’s College London (KCL) has designed an immersive environment with a special virtual reality (VR) headset for use with MRI…

Article • Neurology

Supercomputer helps create 3D synthetic brain models

Scientists are using artificial intelligence (AI) and the Cambridge-1 supercomputer to synthesise artificial 3-D MRI images of human brains and create models that show disease states across various ages and genders. The Synthetic Brain Project is focused on building deep learning models which have been developed by King’s College London (KCL) and NVIDIA data scientists and engineers as part of…

News • Knowledge base for radiologists

Educational resources on dense breasts

In an effort to promote access to professional breast imaging knowledge, the European Society of Radiology (ESR) now links to educational materials from DenseBreast-info.org as a resource for its members about the screening and risk implications of dense breast tissue.

News • Imaging staff back-up

A new remote scanning service to support MRI operation

Siemens Healthineers has recently started offering its customers WeScan, a new service that helps healthcare providers to perform MRI examinations if they lack qualified radiology staff. With the WeScan service, customers may seek access to a pool of skilled remote imaging technologists who help operate the MRI scanner using syngo Virtual Cockpit, the remote scanning software of Siemens…

News • VR app for children

Kids' fear of MRI: Let the penguins handle it

"You hear the noises, but they don't bother you at all": Since 2019, the “Pengunaut Trainer" has been preparing children for magnetic resonance imaging (MRI) examinations through role play. The app was developed under the leadership of the University Duisburg-Essen (UDE) and the Essen University Hospital (UK Essen).

News • Cognitive decline

'Brain fingerprints' help doctors detect neurological disease

An EPFL scientist has found that brain fingerprints – or maps of the neural connections within our brain – can be used to detect a decline in cognitive ability. That’s because the fingerprints are harder to detect in people who already have mild cognitive impairment.

News • AI in radiology

Deep learning helps visualize X-ray data in 3D

A team of scientists at Argonne National Laboratory has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.

Industry analysis

AI and cloud technology crucial for medical imaging & informatics market

The healthcare sector’s emphasis on meeting its Quadruple Aim goal—cost reduction, clinical outcomes, enhance the patient and caregiver experience, and improve the work-life of healthcare providers—encourages the medical imaging and informatics industry to use advanced technologies to tap into growth prospects. Frost & Sullivan’s recent analysis, Global Medical Imaging &…

News • CT, MRI, X-ray, AI, PACS, endoscopy, ultrasound

Fujifilm Healthcare acquires Hitachi Diagnostic Imaging, presents new portfolio

At a virtual European event, Fujifilm Healthcare Europe presented a complete and integrated portfolio of diagnostic products and services, including CT, MRI, X-ray, AI, PACS, endoscopy and ultrasound systems. This launch follows the completion of Fujifilm's acquisition and takeover of Hitachi's Diagnostic Imaging-related business on 31 March 2021 for 179 billion yen (€1.3 billion).

Getting cancer screening programmes back on track with AI and digitisation

The Covid-19 pandemic continues to impact people’s health across the world. This goes beyond the disease itself, as healthcare systems adapt how they provide services. Routine screening has been severely affected with screening programmes reduced or paused.

Article • Heard at SIIM 2021

AI in radiology: unexpected benefits, unintended consequences

Artificial intelligence (AI) could match the impact of PACS on radiology. Covid-19 stimulated the development and testing of AI diagnostic-aiding tools in radiology, an unintended consequence of the pandemic. More image data sets have been created to train AI software – an unexpected benefit for radiology research.

Article • Workflow optimisation

The potential of AI in breast imaging efficiency

The contribution of Artificial intelligence (AI) has great potential in breast imaging efficiency, Professor Linda Moy MD told attendees at the 2021 Society of Breast Imaging/American College of Radiology (SBI/ACR) Breast Imaging Symposium this April. AI models for breast imaging have focused mainly on the diagnostic classification and detection of breast cancer.

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