Dear AuntMinnieEurope Member,
Very little reliable information exists about the error rate in reports by teleradiologists, so a new audit involving nearly 5,000 patients is bound to generate huge interest.
Overall, the teleradiologists did not fare well. Lack of access to patient records, prior imaging, and supporting information from clinicians affected their performance. Also, the teleradiologists often were dealing with complex studies outside their general field of knowledge. For more, go to the CT Community, or click here.
It's very unlikely a new dance movie about x-ray will win an Oscar when the ceremony takes place in late February, but it looks set to boost the profile of radiology on social media. Supported by Birmingham Children's Hospital in the U.K., the movie shows how art can have a valuable role when it comes to understanding technology. Find out more here.
Another creative project has come from Jena University Hospital in Germany. The radiology department's 40-page guide for patients has won awards for its plain language and strong message. Click here for the full details.
Meanwhile, cardiac imaging researchers from Belgium made a big impact at the recent RSNA 2016 meeting. They found that fractional flow reserve CT can reduce unnecessary catheterizations by 80%, while also cutting costs and the risks of morbidity and mortality. They think the new method may become the gateway to the cath lab. Visit the Cardiac Imaging Community, or click here.
At the same congress, a group from Essen, Germany, presented important findings about the ability of PET/MRI to accurately stage tumors of the uterine cervix. Get the full story in the Molecular Imaging Community, or click here.
Finally, don't miss our Case of the Week by Dr. Fatih Seker from Heidelberg University Hospital in Germany. He describes the case of a 7-year-old girl referred for MRI because she has had left-sided, painful, hyperthermic buccal swelling. 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)
