Dear AuntMinnieEurope Member,
To succeed in the international arena, medical doctors must be fluent in English, but the Maverinck thinks this may change in the future.
Teaching tends to be more effective in the mother tongue of the student and tutor, and meetings conducted mostly in languages other than English continue to thrive. Also, the cultural and financial dominance of the U.S. and U.K. might be reduced in the post-Trump, post-Brexit world. Click here to read more.
Interestingly, a Frenchman will soon be in charge at the English-language jounal European Radiology. Being a former ECR president and editor in chief of the Journal de Radiologie, Dr. Yves Menu is well-qualified for this role, but he'll face a tough task. We've interviewed him about his hopes and plans for the future. Find out more here.
Supporters of postmortem imaging point to its popularity among family members of the deceased, but how do Muslims feel about this topic? A research group asked Libyans for their views, and the findings were presented at the recent U.K. Radiological Congress. Go to AuntMinnie Middle East, or click here.
Current techniques for performing specimen radiography in patients undergoing breast-conserving surgery using full-field digital mammography have low sensitivities compared with final histopathological margin analysis. Digital breast tomosynthesis may be the answer breast imagers are looking for. Visit the Women's Imaging Community, or click here.
Meanwhile, further evidence of the clinical potential and value of carotid plaque evaluation via shear-wave elastography has come from China. For the full details, click here.
Finally, Dr. Philippa Tyler from London, who is a member of our editorial advisory board, has prepared an excellent musculoskeletal case report involving a 23-year-old man with shoulder pain. Test yourself here.
![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)
