An overall session attendance figure of more than 3,300 -- made by 106 onsite and 376 online participants over three days -- has been reported by the European Society of Radiology (ESR) for the ECR 2021 Summer Edition, which was held between 1 and 3 July.
The meeting was a good trial run for ECR 2022, which will also be both onsite and online, the society said in a statement issued on 7 July.
The meeting included a six-episode series called "Vienna Waits for You" with ESR Board of Directors Chair Prof. Dr. Michael Fuchsjäger of the Medical University Graz, Austria.
"It was great to see participants, speakers, and industry representatives all in one place after such a long time," said Dr. Christian Loewe, program director, of the Medical University of Vienna in the ESR statement. "You could really see just how we have all been craving this return to normality."
Image courtesy of ECR.
![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)
