The European Society of Radiology (ESR) intends to highlight and support young residents in radiology at its annual meeting, to be held in Vienna in March 2022.
The society has invited more than 11,000 radiology residents to ECR over the past two decades for its Invest in the Youth program, contributing more than 6.8 million euros to this effort, it said. For ECR 2022, the ESR will offer free meeting attendance for 1,000 residents. It will also offer free registration to 100 radiographers as part of its "Shape Your Skills" program.
Both programs are open for application until 10 October. Interested participants must submit a research abstract and be ESR members. The scholarships will also include free lodging.
ECR 2022 will also feature the launch of the ESR's SMART (Scientific, Multidisciplinary, Advanced, Responsible, Tailored) initiative, which is designed to offer improved technological features for the gathering, the society said.
Further details are available on the ESR website.
![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)
