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




AI-Based Analysis of Expiratory Chest CT Images of Post-COVID Patients Shows Evidence of Small Airways Disease

By MedImaging International staff writers
Posted on 18 Mar 2022
Print article
Image: Researchers detected air trapping on expiratory chest CT images of post-COVID patients (Photo courtesy of Pexels)
Image: Researchers detected air trapping on expiratory chest CT images of post-COVID patients (Photo courtesy of Pexels)

Early reports indicate that more than 50% of adult survivors of SARS-CoV-2 infection experience post-acute sequelae of COVID-19 (PASC), more commonly known as “long COVID.” Respiratory symptoms, including cough and dyspnea, are reported by nearly 30% of patients with long COVID, including those who experienced mild infection. Now, a new study has found air trapping, indicative of small airways disease, in patients with lingering respiratory symptoms after COVID-19 infection.

The study grew out of observations from clinicians at the University of Iowa (Iowa City, IA, USA) that many patients with initial SARS-CoV-2 infection who were either hospitalized or treated in the ambulatory setting later showed signs of chronic lung disease such as shortness of breath and other respiratory symptoms. The clinicians put a protocol in place to perform both inspiratory and expiratory CT in these patients. Inspiratory CT, performed after patients inhale, is the standard imaging technique for viewing lung tissue, but post-exhalation expiratory scans are needed to assess air trapping, a condition in which people are not able to empty their lungs when they breathe out. Air trapping is found in many obstructive airway diseases, such as asthma and chronic obstructive pulmonary disease (COPD).

For the study, the researchers compared CT findings in people who had COVID-19 and persistent symptoms with those of a healthy control group. They enrolled 100 adults with confirmed COVID-19 who had remained symptomatic more than 30 days following diagnosis, along with 106 healthy participants. The 100 COVID-19 survivors, median age 48 years, included 67 who were classified as ambulatory, or not requiring hospitalization, 17 who were hospitalized, and 16 who required care in the intensive care unit (ICU) during acute infection.

The researchers detected air trapping on expiratory chest CT images in the COVID-19 group. The mean percentage of total lung affected by air trapping ranged from slightly more than 25% in the ambulatory group to almost 35% in the hospitalized group, compared with only 7.2% in healthy controls. Air trapping persisted in eight of the nine participants who underwent imaging more than 200 days after diagnosis. These imaging results show a high prevalence of long-lasting air trapping, regardless of the initial severity of infection.

Quantitative analysis of expiratory chest CT images, performed with the help of a sophisticated type of artificial intelligence known as supervised machine learning, showed evidence of small airways disease. While small airways disease is not fully understood, evidence suggests it may be related to either inflammation or remodeling of the small airways that prevent air from being able to be exhaled from the lungs. The median time from diagnosis to chest CT imaging was approximately 75 days. The researchers noted that persistence of respiratory abnormalities in this timeframe raises concern for permanent airway remodeling and fibrosis following SARS-CoV-2 infection.

“There is some disease happening in the small airways independent of the severity of COVID-19,” said study senior author Alejandro P. Comellas, M.D., professor of internal medicine and faculty in the Division of Pulmonary and Critical Care Medicine at the Carver College of Medicine, University of Iowa. “We need to investigate further to see whether it is transient or more permanent.”

Related Links:
University of Iowa 

New
Digital Radiography System
DigiEye 330
Silver Member
X-Ray QA Meter
T3 AD Pro
Silver Member
Radiographic Positioning Equipment
2-Step Multiview Positioning Platform
New
Transducer Covers
Surgi Intraoperative Covers

Print article

Channels

Ultrasound

view channel
Image: Artificial intelligence can improve ovarian cancer diagnoses (Photo courtesy of 123RF)

AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images

Ovarian tumors are commonly found, often by chance. In many regions, there is a significant shortage of ultrasound specialists, which has raised concerns about unnecessary medical interventions and delayed... Read more

Nuclear Medicine

view channel
Image: PSMA-PET/CT images of an 85-year-old patient with hormone-sensitive prostate cancer (Photo courtesy of Dr. Adrien Holzgreve)

Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients

Prostate-specific membrane antigen–portron emission tomography (PSMA-PET) imaging has become an essential tool in transforming the way prostate cancer is staged. Using small amounts of radioactive “tracers,”... Read more

General/Advanced Imaging

view channel
Image: Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right) (Photo courtesy of Nature Machine Intelligence, 2024. DOI: 10.1038/s42256-024-00912-9)

Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans

Imaging techniques are essential for cancer diagnosis, as accurately determining the location, size, and type of tumors is critical for selecting the appropriate treatment. The key imaging methods include... 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
Copyright © 2000-2025 Globetech Media. All rights reserved.