The 104th German Congress of Radiology, RöKo 2023, hosted more than 9,500 attendees. It consisted of both a virtual component and an in-person component spanning nearly four months.
The event was held from March to June and was hosted by the German Radiological Society (DRG) and the German Society for Neuroradiology (DGNR), the German Society for Interventional Radiology and Minimally Invasive Therapy (DeGIR), and the German Society for Medical Technologists for Radiology (DGMTR).
The in-person component was held in Weisbaden from 17 to 19 May at the Rhein Main Congress Center (RMCC) and included 4,500 participants. The digital conference included 5,100 participants, the DRG said.
The meeting set a new attendance record, said congress president Prof. Dr. Christiane Kuhl.
"These are outstanding figures that I would not have expected and that far exceed the figures from before the pandemic," she noted in a statement released by the DRG.
Next year's meeting will take place from 1 March to 22 June as a digital event. The in-person event will be held from 8 to 10 May, again at the RMCC in Wiesbaden.
![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)
