Ultra-high-resolution photon-counting CT reveals bronchiolectasis: Axial CT lung images without contrast agent of a 70-year-old woman with persistent fatigue 401 days after COVID-19: 1.0mm image obtained with energy-integrating detector (EID) CT (A), and 1.0mm (B), 0.4mm (C) and 0.2mm (D) images obtained with photon-counting detector CT at the same level. Bronchiolectasis (white arrow) was not detected by EID CT but was found by PCD-CT. Ground-glass opacity detected in EID CT images (black arrows in A) was

Ultra-high-resolution photon-counting CT reveals bronchiolectasis: Axial CT lung images without contrast agent of a 70-year-old woman with persistent fatigue 401 days after COVID-19: 1.0mm image obtained with energy-integrating detector (EID) CT (A), and 1.0mm (B), 0.4mm (C) and 0.2mm (D) images obtained with photon-counting detector CT at the same level. Bronchiolectasis (white arrow) was not detected by EID CT but was found by PCD-CT. Ground-glass opacity detected in EID CT images (black arrows in A) was found to contain reticulations in PCD CT images (black arrows in B-D). 

 


December 2, 2022 —  New CT technology outperforms conventional CT in detecting subtle damage in the lungs of patients with persistent symptoms of COVID-19, according to a new study published in Radiology, a journal of the Radiological Society of North America (RSNA). The technology could lead the way to earlier treatment and better outcomes for the growing number of people with COVID-related lung damage, researchers said. 

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. 

“Previous studies have highlighted the advantages of PCD CT in other fields of radiology, such as cardiovascular and head-and-neck imaging, delivered by ultra-high resolution, improved image quality and, subsequently, higher diagnostic confidence of the reader,” said study senior author Benedikt Heidinger, M.D., from the Department of Biomedical Imaging and Image-guided Therapy at the Medical University of Vienna in Vienna, Austria. 

Dr. Heidinger and colleagues 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. 

“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,” Dr. Heidinger said. “Moreover, PCD CT has potential in decreasing radiation dose and in artifact reduction, representing direct benefits to patients.” 

PCD CT’s ability to detect these subtle lung abnormalities is especially important, Dr. Heidinger said, 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. 

“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,” Dr. Heidinger said. 

The more accurate estimation of the severity of lung abnormalities afforded by PCD CT could also benefit lung disease monitoring and treatment response evaluation. 

“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,” Dr. Heidinger said. 

For more information: www.rsna.org

Find more RSNA22 coverage here  


Related Content

News | Artificial Intelligence

June 18, 2024 — The advancement of Artificial Intelligence (AI) in healthcare to support diagnostic decision making ...

Time June 18, 2024
arrow
News | Artificial Intelligence

June 11, 2024 — A new study led by researchers at Emory AI.Health, published in the Journal of Computers in Medicine and ...

Time June 11, 2024
arrow
News | Artificial Intelligence

June 5, 2024 — Nano-X Imaging, an innovative medical imaging technology company, today announced that its deep-learning ...

Time June 05, 2024
arrow
News | Radiology Imaging

June 5, 2024 — RadiologyInfo.org, a leading source of medical imaging information for the general public, has introduced ...

Time June 05, 2024
arrow
News | Breast Imaging

June 4, 2024 — Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening ...

Time June 04, 2024
arrow
News | Magnetic Resonance Imaging (MRI)

May 31, 2024 — Low-level light therapy appears to affect healing in the brains of people who suffered significant brain ...

Time May 31, 2024
arrow
News | Radiology Business

May 29, 2024 — Strategic Radiology added a third California member to the nation’s leading coalition of independent ...

Time May 29, 2024
arrow
News | Lung Imaging

May 24, 2024 — Smokers who have small abnormalities on their CT scans that grow over time have a greater likelihood of ...

Time May 24, 2024
arrow
News | Radiology Business

May 22, 2024 — Medtronic has announced new preliminary data from the VERITAS clinical study using its ILLUMISITE ...

Time May 22, 2024
arrow
News | Artificial Intelligence

May 22, 2024 — Lunit, a provider of Artificial intelligence (AI)-powered solutions for cancer diagnostics and ...

Time May 22, 2024
arrow
Subscribe Now