Radiologist Prof. Dr. Thomas Vogl has received the German Medical Award in the field of oncology for his outstanding contribution to progressive patient care and for developing a minimally invasive procedure in cancer therapy.
Prof. Dr. Thomas J. Vogl, PhD.Vogl, director of the Institute for Diagnostic and Interventional Radiology at the University Hospital Frankfurt, received first prize in the category "Medical Innovation Practices and Clinics: Oncology" for pioneering a procedure in which a chemotherapeutic agent is introduced into the tumor tissue using a catheter, according to a report posted on 4 December by the German Roentgen Society.
The fourth annual awards were originally due to be presented at the MEDICA medical trade fair on 17 November in Düsseldorf. However, the event was canceled due to the pandemic.
The patron of the German Medical Awards is the North Rhine-Westphalian Minister for Labor, Health, and Social Affairs, Karl-Josef Laumann.
![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)
