Dear AuntMinnieEurope Member,
CT radiation doses have decreased significantly over the past decade, but more work needs to be done to manage radiation dose in children, adolescents and young adults, according to Spanish-led research.
The authors studied the radiology records of 276 hospitals linked to population-based cancer registries and looked at nearly 950,000 patients who underwent a CT scan before the age of 22. Their new data and analysis on radiation dose deserve a close look. Find out more in our CT content area.
Often it falls to junior doctors to refer patients for a CT scan, so it's important for them to have a sound knowledge of the modality. A survey from Australia has shown there are gaps in the understanding of junior medical officers about contrast phases. On the plus side, respondents displayed a willingness to learn more about this topic.
Most cases of severe gastrointestinal complications due to eating undercooked or raw fish and seafood occur in Japan, but the number of cases is rising in Europe and North America. Imaging is proving valuable in these patients. Clinical radiologists from Bilbao in Spain have shared their experiences.
Meanwhile, Swiss researchers have reported that around three-quarters of female patients aren't concerned if the radiologist performing their breast ultrasound examination is a man or a woman. Don't miss our news report in the Women's Imaging content area.
For many years now, the U.K. Royal College of Radiologists (RCR) has produced high-quality guidelines on a wide range of important topics. The RCR's latest offering is on how to deal with frail and vulnerable patients, and you download a copy today for free.
![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)