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.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

Hyperpolarized Xenon MRI Scans Detect Abnormalities in Lungs of Long COVID Patients

By HospiMedica International staff writers
Posted on 07 Feb 2022
Print article
Image: Hyperpolarized Xenon MRI scans (Photo courtesy of NIHR)
Image: Hyperpolarized Xenon MRI scans (Photo courtesy of NIHR)

Using hyperpolarized xenon MRI, researchers have identified abnormalities in the lungs of long COVID patients with breathlessness but whose other tests are normal.

The EXPLAIN study conducted by researchers at the University of Sheffield (Sheffield, UK) and University of Oxford (Oxford, UK) is using hyperpolarized xenon MRI scans to investigate possible lung damage in long COVID patients who experience breathlessness and were not hospitalized when they had COVID-19. These early results suggest that COVID-19 may result in persistent impairment in gas transfer and underlying lung abnormalities. However, the extent to which these abnormalities contribute to breathlessness is currently unclear.

Hyperpolarized xenon MRI requires the patient to lie in an MRI scanner and breathe in one litre of xenon gas that has had its atomic structure altered so it can be seen using MRI. Xenon is an inert gas that behaves in a very similar way to oxygen, so radiologists then can observe how the gas moves from the lungs into the bloodstream. A previous study using the same imaging method established that patients who had been hospitalized with COVID-19 had persistent lung abnormalities several months after they were discharged.

For this pilot study, the researchers recruited 36 patients who fell into three groups: People with long COVID who had normal CT scans; People who had been in hospital with COVID-19 and discharged more than three months previously, who had normal or nearly normal CT scans and who were not experiencing long COVID; and An age- and gender-matched control group who did not have long COVID symptoms nor had been hospitalized with COVID-19. In the initial results, the long COVID patients had abnormal hyperpolarized xenon MRI scans, indicating ‘significantly impaired gas transfer’ from the lungs to the bloodstream. However their CT scans showed normal results.

“We knew from our post-hospital COVID study that xenon could detect abnormalities when the CT scan and other lung function tests are normal,” said the study’s Chief Investigator, Fergus Gleeson, Professor of Radiology at the University of Oxford and Consultant Radiologist at Oxford University Hospitals NHS Foundation Trust. “What we’ve found now is that, even though their CT scans are normal, the xenon MRI scans have detected similar abnormalities in patients with long COVID. These patients have never been in hospital and did not have an acute severe illness when they had their COVID-19 infection. Some of them have been experiencing their symptoms for a year after contracting COVID-19.”

“Xenon MRI is uniquely placed to help understand why breathlessness persists in some patients post COVID,” said Professor Jim Wild and the Pulmonary, Lung and Respiratory Imaging Sheffield (POLARIS) research group at the University of Sheffield, who pioneered hyperpolarized xenon MRI. “Xenon follows the pathway of oxygen when it is taken up by the lungs and can tell us where the abnormality lies between the airways, gas exchange membranes and capillaries in the lungs.”

“These are interesting results and may indicate that the changes observed within the lungs of some patients with long COVID contribute to breathlessness. However, these are early findings and further work to understand the clinical significance is key,” said co-researcher Dr Emily Fraser, a Respiratory Consultant who leads the Oxford Post-COVID Assessment Clinic. “Extending this study to larger numbers of patients and looking at control groups who have recovered from COVID should help us to answer this question and further our understanding of the mechanisms that drive long COVID.”

Related Links:
University of Sheffield
University of Oxford

Print article



view channel
Image: ‘Hologram patients’ developed to help train doctors and nurses (Photo courtesy of University of Cambridge)

Life-Like Hologram Patients Train Doctors for Real-Time Decision Making in Emergencies

A medical training project using 'mixed reality' technology aims to make consistent, high-level and relevant clinical training more accessible across the world. University of Cambridge (Cambridge, UK)... Read more

Critical Care

view channel
Image: New device could provide alternative to opioids and other highly addictive drugs (Photo courtesy of Northwestern University)

Dissolving Implantable Device Can Manage Post-Operative Pain Without Drugs

Researchers have developed a small, soft, flexible implant that relieves pain on demand without the use of drugs. The first-of-its-kind device could provide a much-needed alternative to opioids and other... Read more

Surgical Techniques

view channel
Image: The Senhance surgical system with digital laparoscopy (Photo courtesy of Asensus Surgical)

Digital Laparoscopic Platform Leverages Augmented Intelligence and Machine Learning

Challenges in laparoscopic surgery can impact cost, utilization, effectiveness, and outcomes of the procedure. For instance, the inability of the surgeon to control vision can create efficiency and safety... Read more

Patient Care

view channel
Image: The biomolecular film can be picked up with tweezers and placed onto a wound (Photo courtesy of TUM)

Biomolecular Wound Healing Film Adheres to Sensitive Tissue and Releases Active Ingredients

Conventional bandages may be very effective for treating smaller skin abrasions, but things get more difficult when it comes to soft-tissue injuries such as on the tongue or on sensitive surfaces like... Read more

Health IT

view channel
Image: AI can reveal a patient`s heart health (Photo courtesy of Mayo Clinic)

AI Trained for Specific Vocal Biomarkers Could Accurately Predict Coronary Artery Disease

Earlier studies have examined the use of voice analysis for identifying voice markers associated with coronary artery disease (CAD) and heart failure. Other research groups have explored the use of similar... Read more


view channel
Image: Expanding the role of autonomous robots can mitigate the shortage of physicians (Photo courtesy of Pexels)

Robot-Assisted Surgical Devices Market Driven by Increased Demand for Patient-Specific Surgeries

An aging population and accompanying retirements will cause a significant physician shortfall of 55,000 to 150,000 by 2030, creating a gap in the healthcare system. Expanding the role of autonomous robots... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.