The European Society of Breast Imaging (EUSOBI) is mourning the loss of Prof. Yves Grumbach, a founder of the society and its first president, who died in late January. He was 85.
Prof. Yves Grumbach. Image courtesy of the EUSOBI.Grumbach served as professor and chief of the department of radiology at Centre Hospitalier Universitaire d'Amiens, France, from 1973 to 2007, and he was a pioneer in breast cancer screening and breast ultrasound, according to Dr. Anne Tardivon of Institut Curie and the Société d'Imagerie de la Femme in Paris.
"Besides his appetite to spread and teach our speciality over the world, Yves was a gentleman and a very kind and tireless companion with the youngest generations," Tardivon noted in her tribute on the EUSOBI 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)
