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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients

By MedImaging International staff writers
Posted on 25 May 2022
Print article
Image: Example CT, proton, proton and RBC:TP imaging from post-COVID-19 condition study participants (Photo courtesy of University of Sheffield)
Image: Example CT, proton, proton and RBC:TP imaging from post-COVID-19 condition study participants (Photo courtesy of University of Sheffield)

Beyond the acute respiratory symptoms of COVID-19 infection, which can result in severe illness, hospitalization and death, the medium and long‐term problems experienced by people following COVID‐19 can be considerable. Symptoms can persist months after initial infection. The presence of ongoing symptoms related to prior COVID-19 infection is known as post-COVID-19 condition, or long COVID. Although over 200 symptoms have been reported, the most common are breathlessness, fatigue and brain fog. Long COVID presents a global health burden, with many people unable to return to normal activities or employment months after becoming unwell. In long COVID, a breathing pattern disorder is commonly identified and contributes to breathlessness in a significant proportion of patients. However, whether there are additional reasons for their breathlessness remains unclear. Now, a special type of MRI has found lung abnormalities in patients who had previously had COVID-19, even those who had not been hospitalized with the illness, according to a new study.

In the study by researchers at the University of Sheffield (Sheffield, UK) and University of Oxford (Oxford, UK), a specialized type of MRI (Hp-XeMRI) found lung abnormalities in non-hospitalized patients with long COVID months after initial infection. The findings provide preliminary evidence that non-hospitalized long COVID patients may have abnormalities indicative of decreased lung function that cannot be detected with conventional CT imaging. Hp-XeMRI has shown promise in detecting abnormalities of alveolar gas exchange - where oxygen moves from the lungs to the bloodstream and carbon dioxide passes from the blood to the lungs - even when CT scans and lung function tests were normal. Hp-XeMRI enables the assessment of ventilation and gas exchange into red blood cells. It provides regional information of pulmonary vasculature integrity and may be able to identify lung abnormalities not apparent on CT.

For this prospective study, researchers set out to determine whether previously described lung abnormalities on Hp-XeMRI in post-hospitalized COVID-19 participants are also present in non-hospitalized participants with long COVID. Eleven non-hospitalized long COVID (NHLC) participants and 12 post-hospitalized COVID-19 (PHC) participants were enrolled from June 2020 to August 2021. All participants had symptoms of breathlessness. NHLC participants were 240-334 days from infection, and PHC participants were 105-190 days from infection. As a control group, healthy volunteers with no evidence of prior COVID-19 infection were recruited from staff at the University of Sheffield and the University of Oxford.

Participants were given chest CT, Hp-XeMRI, pulmonary function tests, one-minute sit-to-stand tests and breathlessness questionnaires. Control subjects underwent HP-XeMRI only. CT scans were analyzed for post-COVID lung disease severity using a previously published scoring system, and Full-scale Airway Network (FAN) modeling. Analysis used group and pair-wise comparisons between participants and controls, and correlations between participant clinical and imaging data. NHLC and PHC participants had normal or near normal CT scans.

The results showed that there were significant differences in mean red blood cell to tissue plasma ratio between healthy controls and PHC/NHLC participants, indicating potential differences in lung function. Although participants had normal or near normal CT scores, total lung diffusion capacity for carbon monoxide percentage was significantly lower between NHLC and PHC participants, potentially indicating a decrease in lung function but not structure. The researchers have said their next step is to expand their study to look at larger numbers of participants seen in dedicated post-COVID clinics at four UK centers.

“In a collaboration between the University of Oxford and the University of Sheffield, we have been able to identify abnormalities in the lungs of both hospitalized and non-hospitalized participants using a novel imaging technique, Hyperpolarized Xenon 129MRI, or Hp-XeMRI,” said the study’s senior author, Fergus Gleeson, M.B.B.S., from the Department of Oncology, University of Oxford and Department of Radiology, Oxford University Hospitals NHS Trust. “These abnormalities are not apparent on conventional imaging, and in some individuals were detected up to a year after their initial COVID-19 infection. We will assess different groups of participants who have had COVID and correlate the findings with physiological data, symptom-based questionnaires and cardiac MRI to better understand the clinical significance of our findings.”

“Using Hp-XeMRI may enable us to further understand the cause of breathlessness in long COVID patients, and ultimately lead to better treatments to improve this often debilitating symptom,” added study co-author James T. Grist, Ph.D., from University of Oxford.

Related Links:
University of Sheffield 
University of Oxford 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Color Doppler Ultrasound System
DCU50
New
1.5T Superconducting MRI System
uMR 680
New
Portable Digital X-Ray System
Acuity PDR

Print article
Radcal

Channels

Radiography

view channel
Image: 3D cinematic renderings of the control and diseased heart in anatomic orientation (Photo courtesy of ESRF)

Innovative X-Ray Technique Captures Human Heart with Unprecedented Detail

Cardiovascular disease remains the leading cause of death globally. In 2019, ischemic heart disease, which weakens the heart due to reduced blood supply, accounted for approximately 8.9 million or 16%... Read more

MRI

view channel
Image: SubtleSYNTH creates synthetic STIR images with zero acquisition time that are interchangeable with conventionally acquired STIR images (Photo courtesy of Subtle Medical)

AI-Powered Synthetic Imaging Software to Further Redefine Speed and Quality of Accelerated MRI

The development of innovative solutions is not only redefining the landscape of artificial intelligence (AI)-based diagnostic imaging but also simplifying the ever-increasing complexity of workflows faced... Read more

Ultrasound

view channel
Image: The new FDA-cleared AI-enabled applications have been integrated into the EPIQ CVx and Affiniti CVx ultrasound systems (Photo courtesy of Royal Philips)

Next-Gen AI-Enabled Cardiovascular Ultrasound Platform Speeds Up Analysis

Heart failure is a significant global health challenge, affecting approximately 64 million individuals worldwide. It is associated with high mortality rates and poor quality of life, placing a considerable... Read more

General/Advanced Imaging

view channel
Image: HeartFlow Plaque Analysis leverages cutting-edge AI for assessment of plaque quantity and composition (Photo courtesy of HeartFlow, Inc.)

Next Gen Interactive Plaque Analysis Platform Assesses Patient Risk in Suspected Coronary Artery Disease

A first-of-its-kind plaque analysis tool to be fully integrated with FFRCT (when FFRCT is performed) provides impactful insights that enhance clinical decision-making and enable personalized patient treatment... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: The new collaborations aim to further advance AI foundation models for medical imaging (Photo courtesy of Microsoft)

Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging

Medical imaging is a critical component of healthcare, with health systems spending roughly USD 65 billion annually on imaging alone, and about 80% of all hospital and health system visits involve at least... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.