The U.K. Royal College of Radiologists (RCR) exams team is modifying its remaining 2022 exam sittings after becoming aware of a level of bookings that is "not satisfactory."
In a statement released on 23 June, the team said that a new exam application system is under development and that candidates will still apply for exam sittings online. The team also said the dates for exam priority windows remain the same.
Candidates will need to complete an online webform. The team said candidates who complete the web form will receive an onscreen confirmation message and a link to make payment will be sent out via email.
Priority window 1 applicants (U.K. trainees; Singapore, Malta, and Hong Kong trainees; and National Health Service contributors) will be guaranteed a place at their first- or second-choice venues. They will receive confirmation of their booked place within 48 hours of submitting their application.
Priority window 2 applicants (other global candidates) will be allocated places on a first-come, first-served basis. They will be notified of their place in the exam and sent a link to make payment within 24 hours of making their online submission.
![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)
