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.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Photon-Counting CT Shows More Post-COVID-19 Lung Damage

By MedImaging International staff writers
Posted on 05 Dec 2022
Print article
Image: Ultra-high-resolution photon-counting CT reveals bronchiolectasis (Photo courtesy of Medical University of Vienna)
Image: Ultra-high-resolution photon-counting CT reveals bronchiolectasis (Photo courtesy of Medical University of Vienna)

Photon-counting detector (PCD) CT has emerged in the last decade as a promising imaging tool. It works by converting X-ray photons directly into an electrical signal. This avoids the intermediate step of conversion by means of a photodiode found in conventional CT scanners that use energy-integrating detectors. The result significantly reduces energy and signal loss at the detector site. While PCD CT is not yet widely available, it has shown promise in the research setting. Now, a new study has shown that PCD CT outperforms conventional CT in detecting subtle damage in the lungs of patients with persistent symptoms of COVID-19. The technology could lead the way to earlier treatment and better outcomes for the growing number of people with COVID-related lung damage, according to researchers.

Researchers at the Medical University of Vienna (Vienna, Austria) studied PCD CT's potential as a method for imaging the lungs of people with persistent symptoms after COVID-19. They compared PCD CT with conventional CT in 20 adults, mean age 54 years. The participants had one or more COVID-19-related persisting symptoms, such as cough and fatigue. Conventional CT showed post-COVID-19 lung abnormalities in 15 of 20 (75%) participants. PCD CT revealed additional lung abnormalities in half of the participants. The most common abnormality found by PCD CT was bronchiolectasis, damage to the airways that can cause difficulties in clearing mucus from the lungs.

PCD CT's ability to detect these subtle lung abnormalities is especially important, because patients with persistent symptoms following COVID-19 can develop irreversible lung damage known as lung fibrosis. Conventional CT is one of the primary methods for detecting and diagnosing lung fibrosis, but it can miss the subtle abnormalities indicative of early-stage fibrosis. The more accurate estimation of the severity of lung abnormalities afforded by PCD CT could also benefit lung disease monitoring and treatment response evaluation.

"In our study investigating lung abnormalities in symptomatic post-COVID patients, we were able to detect subtle lung abnormalities in 10 of 20 participants using PCD CT that were not seen in conventional CT," said study senior author Benedikt Heidinger, M.D., from the Department of Biomedical Imaging and Image-guided Therapy at the Medical University of Vienna. "Moreover, PCD CT has potential in decreasing radiation dose and in artifact reduction, representing direct benefits to patients."

"PCD CT may help to identify earlier and more effectively post-COVID patients at risk for developing lung fibrosis, and, hopefully, allow for timely treatment allocation, such as pulmonary rehabilitation, in the future," added Dr. Heidinger. "Future trials including clinical outcomes such as quality of life, pulmonary function testing and histology will reveal the true benefit of this exciting new detector technology."

Related Links:
Medical University of Vienna

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
CT Phantom
CIRS Model 610 AAPM CT Performance Phantom
Computed Tomography (CT) Scanner
Aquilion Serve SP
New
Ultrasound System
P20 Elite

Print article

Channels

Ultrasound

view channel
Image: CAM figures of testing images (Photo courtesy of SPJ; DOI:10.34133/research.0319)

Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease

Congenital heart disease (CHD) is one of the most prevalent congenital anomalies worldwide, presenting substantial health and financial challenges for affected patients. Early detection and treatment of... Read more

Nuclear Medicine

view channel
Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)

New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients

Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... 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