The European Society of Radiology (ESR) and the EuroSafe Imaging Steering Committee have issued a 12-point plan calling for action on radiation safety.
Called the EuroSafe Imaging Call for Action, the plan furthers EuroSafe's objectives of promoting appropriateness in medical imaging, maintaining radiation doses within diagnostic reference levels, using the as low as reasonably achievable (ALARA) principle, promoting the use of up-to-date equipment, empowering patients, and joining forces with various stakeholders, the groups said.
The plan supports the implementation of the Bonn Call for Action, issued in 2012 by the International Atomic Energy Agency (IAEA) and the World Health Organization (WHO) at the International Conference on Radiation Protection in Medicine.
The action plan significantly contributes to achieving the aims in the 10 priority areas of the Bonn Call for Action. Click here to read the full strategy and action plan, or download the EuroSafe Imaging Call for Action as a leaflet or poster.
![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)
