Dear AuntMinnieEurope Member,
France was shaken to the core by the recent terrorist attacks in Paris. Details of the medical response to the crisis are starting to emerge, and the city's radiologists and radiographers are being singled out for special praise. Their efforts helped to save lives, and French radiology is right to feel very proud of its swift and courageous response.
We've conducted exclusive interviews with three senior radiologists who were involved in coping with the aftermath of the attacks. To find out what they had to say, click here.
An important new study published in European Radiology indicates that second-opinion review of gynecologic oncologic MRI by subspecialized radiologists can have a substantial impact on patient care, allowing for more informed medical decision-making. Go to our Women's Imaging Community, or click here.
How best to organize and conduct training in hybrid imaging is a highly topical issue at present. Dr. Katrine Riklund, president of ECR 2016, is convinced that Europe needs a new society for this purpose, and plans for its formation are now well underway. Get the story here.
How can you keep referring physicians happy? Clinical competence is a good start, but today physicians are looking for more: They want relationships with professionals they know, like, and trust, according to marketing expert Kyle Bolton. Click here to get his top 10 tips.
Hungarian researchers are famed for their skill and ingenuity, and often they operate on a tight budget. A group from Budapest has tested a digital tomosynthesis system they assembled themselves, along with homegrown computer-aided detection software. To learn more, visit our Digital X-Ray Community, or click here.
Don't forget RSNA 2015 begins in Chicago on Sunday. For in-depth coverage of the congress and industry news, make sure you visit the dedicated RSNA 2015 section of our sister site, AuntMinnie.com.
![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)
