
Nine candidates are standing in this month's election for the presidency of the U.K. Royal College of Radiologists (RCR). The contest is already causing quite a stir on social media.
"Blimey! 9 candidates for RCR president. Unparalleled," AuntMinnieEurope.com columnist Dr. Paul McCoubrie posted on Twitter on 7 January, when the full list of candidates was revealed.
The nine candidates in alphabetical order. Each candidate must submit a statement about why she or he wants the post, and most of them also post a video of up to two minutes. Image courtesy of the RCR.The three-year term of office begins on 1 September 2022. The president leads the RCR and is its primary spokesperson, but the post is voluntary and unpaid.
"This is a very important period for the College, there is a realisation centrally that both faculties (clinical radiology and oncology) are key to delivering safe, efficient patient centred care," said candidate Prof. Mark Callaway. "We need to lead this work nationally in both radiology and oncology but continuing to support and include all fellows."
The president is elected by the U.K. fellows in good standing of both faculties, and the role rotates such that every third appointment is a clinical oncologist. The current president, Dr. Jeanette Dickson, is an oncologist, meaning that radiologists are set to dominate at the top of the RCR for the next six years.
"Who will work to abolish the pension tax?" Dr. Sapna Puppala, an endovascular specialist from Leeds, asked on Twitter.
"The college is a charity, not a union, but it absolutely has a duty to lobby (both in public and in private) against things which are exacerbating the workforce crisis -- like punitive and complicated pension tax rules," replied candidate Dr. David Little.
Each candidate should give a more detailed summary of their thoughts, what they stand for, and what they hope to achieve, according to radiologist and health IT consultant Dr. Rizwan Malik.
Not every RCR member gets to vote
Another area of concern is that only U.K.-based fellows of the RCR can vote. Some observers would like candidates to consider changing this in future so that younger radiologists and trainees can also participate.
"There are restrictions on overseas fellows as well," Callaway said. "If we are to be truly inclusive, the system of appointment requires review."
The process is being organized by Civica Election Services (formerly Electoral Reform Services), a London-based provider of election services with more than 100 years of experience in managing elections voting.
The nine candidates standing are Prof. Mark Callaway, Dr. Katharine Halliday, Dr. Stephen Harden, Dr. David Little, Dr. Elizabeth Loney, Dr. Robin Proctor, Dr. Ronny Sandhu, Dr. Raman Uberoi, and Dr. Ian Zealley.
The new RCR president for 2022-2025 will be in charge of advancing the science and practice of radiology and oncology, furthering public education, and setting appropriate professional standards of practice.
For full details about the candidates and the voting process, go to the RCR website. You can also learn more about the role and responsibilities of the RCR president.












![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&fit=crop&h=112&q=70&w=112)





