Dear AuntMinnie Member,
VIENNA - In hot news from chilly Austria this week, a multicenter Dutch-Belgian group presented results from a CT lung screening study that confirms that the modality can be used to catch cancer at an early stage.
In a Monday presentation, the researchers discussed their work on the NELSON lung cancer screening trial. Most significantly, the group found that CT screening detected four-fifths of participants' lung cancers at stage I -- which makes them better candidates for surgical resection than patients whose cancer is found at a later stage. You'll find the story in our RADCast @ ECR by clicking here.
Other stories in the RADCast that we're featuring this week present studies that compare ultrasound and breast MRI as adjunctive breast imaging modalities, as well as the latest European research on digital breast tomosynthesis.
You'll also find a story about how German researchers used triple reading in a mammography screening program to boost their cancer detection rate, along with an article on how 320-detector-row CT results in lower contrast dose in coronary CT angiography.
Get these stories, as well as photos and videos from this year's meeting, in our RADCast @ ECR, which you can reach by clicking on the stories below or by visiting ecr.auntminnie.com.

















![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)