#CT

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Modality comparison

COVID-19 imaging: lung ultrasound vs chest CT

A recent preprint study in France underpins the debate on whether lung ultrasound (LUS) should be used to triage COVID-19 patients better at the hospital as well as in primary care. The eChoVid study, published as a preliminary report of work on medTrix, shows that LUS enables identification of lung lesions as well as chest CT in COVID-19 patients. A team of French researchers compared routinely…

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Improved accuracy and efficiency

AI could improve CT screening for COVID-19

Researchers at the University of Notre Dame are developing a new technique using artificial intelligence (AI) that would improve CT screening to more quickly identify patients with the coronavirus. The new technique will reduce the burden on the radiologists tasked with screening each image. Testing challenges have led to an influx of patients hospitalized with COVID-19 requiring CT scans which…

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Improving first aid

New 3D CT scanning method shows what happens during CPR

Rapid first aid during cardiac arrest makes the difference between life and death. But what happens to the heart and the internal organs when people come running and begin to give well-meaning but heavy-handed heart massage as they attempt to keep the person who has suffered a cardiac arrest alive? A research collaboration between the Department of Forensic Medicine at Aarhus University and the…

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Corona in radiology

Revealing COVID-19-related brain injury in MRI and CT imaging

Injuries in the nervous system of patients with severe COVID-19 are revealed by magnetic resonance imaging (MRI) and computed tomography (CT). In a study of 185 patients, researchers at Karolinska Institutet (KI) and Karolinska University Hospital show an affection of microscopic blood vessels and inflammation in the brain, meninges and nerves. The results are published in Radiology.

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Nanoparticles

Luminescent substance allows accurate viewing of body parts

Researchers have designed a fluid that works like a luminous ink to obtain very sharp images of damaged tissues, organs and cartilages in diagnostic tests. This new compound, still in the laboratory phase, reduces adverse effects on the human body because it allows lower amounts to be injected and the dose to be targeted only at the affected area.

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Deep Learning in Radiology

New Levels of Precision with Self-learning Imaging Software

The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…

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Preparing for the unpredictable

The role of radiology in mass casualty incidents

CT has a critical role to play in management of mass casualty incidents with the ability to image patients from head to toe, offering a rapid overview for clinicians. The benefits of CT will be outlined by Dr Elizabeth Dick during an ECR session examining the role of radiology in the management of mass casualty incidents, terror attacks and assaults. “Mass casualty incidents – whether…

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Innovation

„get up“ – The swivelling handle system for radiology

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. The new swivelling system was installed for the first time in a state-of-the-art CT scan room at the Institute of Diagnostic and Interventional Radiology and Neuroradiology at Essen University Hospital.

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Goodbye to grayscale

Dual Energy CT – seeing x-rays with colors

Computed tomography (CT) is one of the most important imaging options for the diagnostics of patients. For a long time, in clinical routine CT technology mostly showed the Hounsfield Units (HU) that are indicated in the grayscale. However, the Dual Energy CT (DECT) enables colored X-ray images, therefore significantly improving examination methods. “We can also do material separation and get a…

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Increased usability and precision

New X-ray contrast agent enhances vascular imaging

Researchers at the University of Zurich have developed a new X-ray contrast agent which is easier to use and distributes into all blood vessels more reliably, increasing the precision of vascular imaging. This reduces the number of animals required in research experiments. Various diseases in humans and animals – such as tumors, strokes or chronic kidney disease – damage the blood vessels.…

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Inner ear disorder

Using advanced X-ray technology to fight Ménière's disease

The organ of balance in the inner ear is surrounded by the hardest bone in the body. Using synchrotron X-rays, researchers at Uppsala University have discovered a drainage system that may be assumed to play a major role in the onset of Ménière's disease, a common and troublesome disorder. These results are published in the journal Scientific Reports. Ménière's disease is manifested in sudden…

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Algorithm-assisted diagnostics

AI in imaging: not as reliable as you'd think

Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. A team of researchers, led by the University of Cambridge and Simon Fraser University, designed a series of tests for medical image reconstruction algorithms based on AI and deep learning, and found that these techniques result in myriad…

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Better tissue discrimination, lower radioation dose

Improving image quality of CT scans

Computed tomography (CT) is one of the most effective medical tests for analysing the effects of many illnesses, including COVID-19, on the lungs. An international team led by the Universitat Oberta de Catalunya (UOC) has developed a new method that improves the quality of the images obtained from CT scans. The algorithm, which has been tested on simulated data, enables them to distinguish…

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What radiologists need to know

How lung disorders like COVID-19 affect children

Although the clinical symptoms of new pediatric lung disorders such as severe acute respiratory syndrome (SARS), swine-origin influenza A (H1N1), Middle East respiratory syndrome (MERS), e-cigarette or vaping product use-associated lung injury (EVALI), and coronavirus disease (COVID-19) pneumonia may be nonspecific, some characteristic imaging findings "have emerged or are currently…

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Imaging collaboration

AI quantifies COVID-19 in chest CT images

Hospitals and organizations worldwide joined forces with AI imaging company icometrix in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. icolung is the first CE-marked AI solution for CT resulting from a…

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Chest X-ray, CT and more

Imaging the coronavirus disease COVID-19

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.

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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…

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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. The subject, and wider role of CT in pelvic conditions, will be the focus of a presentation –…

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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. We spoke with Professor Valérie Vilgrain, from Hôpital Beaujon, Hôpitaux Paris-Nord Val de Seine, in Clichy, France, about the prevalence of cystic…

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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…

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Advancements in CT and MR

Canon expands the power of AI across imaging modalities

Bringing the power of AI to routine imaging, Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical’s Deep Learning Reconstruction (DLR) technology, is now being integrated across a broader portfolio of scanners with a wider range of clinical applications across modalities. Advanced intelligent Clear-IQ Engine (AiCE) was trained using vast amounts of high-quality image data, and features a…

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Chronic Obstructive Pulmonary Disease

New diagnostic criteria proposed For COPD

Researchers at National Jewish Health and dozens of leading institutions around the nation have proposed new criteria for diagnosing chronic obstructive pulmonary disease (COPD), the fourth leading cause of death in the United States. The proposal expands diagnostic criteria from a single measure of lung function to include environmental exposure, symptoms, and abnormal CT scans.

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