The British Institute of Radiology (BIR) is hosting a Christmas imaging quiz. The fun event is to be held on 10 December at the Royal College of Radiologists in London.
The BIR will present an X-mas imaging quiz.The quiz is aimed at all radiologists -- specialist registrars, consultants, and retired radiologists. The sessions are festively themed, and each will consist of six quiz cases with multiple choice answers and an electronic voting system for audience participation. The answers will be discussed after every case.
Examples include "Five gold rings" on ring lesions, presented by Dr. Nicola Strickland, consultant radiologist at Imperial College Healthcare National Health Service (NHS) Trust; "Eight maids a-milking" on merry mammo by Dr. Sam Sudderrudin, specialist registrar at Imperial College Healthcare NHS Trust; and "Santa's little helpers: The elves and dwarves" by Dr. Alistair Calder, consultant radiologist at Great Ormond Street Hospital.
![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)
