Dear AuntMinnieEurope Member,
Should radiologists be generalists or subspecialists? This has been a recurring theme over recent years. There's no easy answer, but columnist Dr. Paul McCoubrie is convinced generalists have a more varied and stimulating working life. Click here to read his entertaining article.
It's well known that PET/CT has clinical applications and can add value, particularly in more complex oncology cases, but the major dilemma is when exactly to make use of it. This can be a big headache.
Help is now on hand. A practical 34-page report from respected U.K. authors provides a comprehensive guide to exactly when you really need PET/CT. And best of all, it can be downloaded free of charge. Go to our Molecular Imaging Community, or click here.
The use of whole-body CT in trauma cases was a hot issue at the 97th German Radiology Congress (Deutscher Röntgenkongress, RöKo 2016), which drew to a close over the weekend in Leipzig. Experts from Berlin described their experiences. Learn more in our CT Community, or click here.
Breast CT's screening potential also came under the microscope at RöKo 2016. Compared with mammography, the method is more comfortable for women, and some promising results are being obtained. Visit the Women's Imaging Community, or click here.
Meanwhile, new risk-based requirements for teleradiology offer much greater potential for avoiding failures and risks, which is good news for patients, physicians, and healthcare institutions, according to Austrian and German researchers. Get the story here.
The popularity of women's football continues to rise. Our editorial advisory board member Dr. Anagha Parkar has developed an interesting case report about a young player who had previously undergone anterior cruciate ligament reconstruction and suffered an injury while playing. 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)
