Sunday, November 27 | 1:30 p.m.-2:00 p.m. | S4-STCE-2 | Learning Center Theater
Photon-counting CT could be a useful tool for early diagnosis of interstitial lung disease -- although it does impart more radiation than conventional high-resolution CT, according to research results to be shared in a Sunday afternoon poster session.Interstitial lung disease is a dangerous condition in people with rheumatoid arthritis, noted a team led by presenter Dr. Nikolett Marton, PhD, of Semmelweis University in Budapest, Hungary. Early diagnosis -- and antifibrotic therapy -- can improve patient outcomes. Patients typically undergo high-resolution CT for this indication, but Marton's team sought to assess the efficacy of photon-counting detector CT for detecting lung parenchymal involvement in rheumatoid arthritis sufferers.
For their study, the investigators included 37 rheumatoid arthritis patients without a previous interstitial lung disease diagnosis. All underwent both high-resolution CT and photon-counting detector CT exams. Radiologist readers used a five-point scale to score the extent of lung abnormalities in each lung lobe, calculating a total disease score by the sum of these.
The group did find that photon-counting CT imparted more radiation compared to high-resolution CT (410 mGy-cm versus 27.6 mGy-cm). However, photon-counting CT was better at visualizing bronchiectasis and fibrosis, leading the researchers to the conclusion that "ultrahigh resolution photon-counting detector CT provides more detailed information regarding interstitial lung disease in patients with rheumatoid arthritis than high resolution photon-counting detector CT."












![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)








