Dear AuntMinnieEurope Member,
The national lung cancer screening program in Germany is unlikely to hit full stride until mid to late 2025 because reimbursement and training/accreditation issues still need to be resolved, but the launch of the scheme looks certain to encourage other nations to proceed with similar initiatives.
We asked two leading experts, Profs. Marie-Pierre Revel and Thorsten Blum, to assess the new program. Don't miss our report.
Four weeks have passed since news broke of the sudden suspension of seven radiologists at ZNA Cadix in Antwerp. As part of a deal struck with hospital managers, the radiologists have agreed to leave peacefully, and in yet another twist, the hospital has become involved in a merger. Find out the latest news from Belgium.
Meanwhile, the U.K. has published new guidance on the provision of trauma radiology to severely injured patients. The 38-page report is available for free download.
Interest remains high in the applications of ChatGPT. In a recent study, Swiss researchers found that the AI tool can help to convey information about radiation protection.
Radiology's impact on the environment will be a central topic at ECR 2025. As an appetizer, a special session on sustainability was held at the annual meeting of the European Society of musculoSkeletal Radiology (ESSR).
Philip Ward
Editor in Chief
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
