The German Radiological Society (DRG) has awarded the Marie Curie Medal to Prof. Philipp Bruners, professor at the Clinic for Diagnostic and Interventional Radiology at RWTH Aachen University Hospital, for his "outstanding academic achievements."
Prof. Philipp Bruners received the award at the 104th German Congress of Radiology in Wiesbaden. Courtesy of DRG / Thomas Ralafzyk.Bruners' research includes developing new ablation techniques, navigated procedures, and vascular interventions. His special focus is on treating patients with liver metastases through local therapy.
His group in Aachen has published research on systematically describing predictors for pretreatment success and criteria for the differential therapeutic approach, as well as studying the long-term patient outcomes. It has also studied hepatobiliary interventions in patients with advanced liver cirrhosis.
Along with the DRG, Bruners is a member of the Cardiovascular and Interventional Society of Europe (CIRSE), the German Society for Interventional Radiology (DeGIR), and the European Society of Radiology (ESR). He is also a reviewer for several journals.
![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)
