We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

Stroke Scans Could Reveal COVID-19 Infection

By HospiMedica International staff writers
Posted on 18 Sep 2020
Print article
Illustration
Illustration
New research has found that COVID-19 may be diagnosed on the same emergency scans intended to diagnose stroke. The findings have important implications in the management of patients presenting with suspected stroke through early identification of COVID-19.

Researcher from the School of Biomedical Engineering & Imaging Sciences at King’s College London (London, UK) have found that the emergency scans captured images of the top of the lungs where a fluffiness known as ‘ground glass opacification’ allowed COVID-19 to be diagnosed. The findings allow earlier selection of the appropriate level of personal protective equipment (PPE) and attendant staff numbers, triage to appropriate inpatient ward settings, self-isolation and contact tracing.

For their study, the team examined 225 patients from three London Hyper-Acute Stroke Units. The emergency stroke scan consisted of a computed tomography (CT) of the head and neck blood vessels. The results showed that when the team saw these changes in the top of the lungs during the emergency scan, they were able to reliably and accurately diagnose COVID-19 and the changes also predicted increased mortality.

“This is particularly relevant given the limitations of currently available Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reverse transcriptase-polymerase chain reaction (RT-PCR) testing as it takes time to complete the test and sometimes it is inaccurate,” said Dr. Thomas Booth, study lead, senior lecturer in neuroimaging and consultant radiologist at King’s College Hospital.

“Additionally, our data have prognostic information given the increased mortality in those with lung changes shown in our cohort,” added Dr. Booth. “These are useful results because the changes are simple for radiologists and other doctors to see. This is “free information” from a scan intended for another purpose yet extremely valuable.”

Related Links:
King’s College London

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
CT Phantom
CIRS Model 610 AAPM CT Performance Phantom

Print article

Channels

Critical Care

view channel
Image: AI could help physicians detect abnormal heart rhythms earlier (Photo courtesy of 123RF)

AI to Improved Diagnosis of Atrial Fibrillation

Abnormal heart rhythms frequently arise from—and contribute to—structural abnormalities in the heart. Atrial fibrillation is a specific type of abnormal rhythm that may not be consistently present, often... Read more

Surgical Techniques

view channel
Image: ‘Wraparound’ implants represent a new approach to treating spinal cord injuries (Photo courtesy of 123RF)

Tiny Wraparound Electronic Implants to Revolutionize Treatment of Spinal Cord Injuries

The spinal cord functions as a vital conduit, transmitting nerve impulses to and from the brain, much like a highway. When the spinal cord is damaged, this flow of information is disrupted, leading to... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more