Tuesday, December 3 | 3:30 p.m.-3:40 p.m. | SSJ02-04 | Room E450A
High-resolution breast CT produces 3D images that are better than full-field digital mammography (FFDM) and tomosynthesis, and it does so at acceptable dose levels for screening procedures, according to German researchers.CT can provide good soft-tissue discrimination and dynamic contrast-enhanced studies of the breast, but spatial resolution tends to be insufficient and the radiation dose is beyond limits set for screening, according to Dr. Ruediger Schultz-Wendtland, from the University of Erlangen-Nuremberg, and colleagues. The researchers investigated whether the same would be true with a high-resolution breast CT system.
Schultz-Wendtland's group used a breast CT prototype that included a cadmium telluride detector with a 100-µm pixel size and single photon-counting electronics. The team compared the prototype's performance to digital mammography and tomosynthesis devices, using a phantom; tests focused on whether the devices could visualize fibers, masses, and specks embedded in the phantom down to 0.75 mm, 0.50 mm, and 0.24 mm, respectively, as recommended by the American College of Radiology (ACR). The researchers also evaluated image quality and dose for each device.
The high-resolution breast CT system had better than 100-µm spatial resolution at average glandular dose levels below 5 mGy. Digital mammography and tomosynthesis visualized the embedded material as required by ACR, but breast CT went even further, visualizing fibers as small as 0.4 mm, masses of 0.25 mm, and specks of 0.16 mm, the researchers found.




















![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)