Radiographers often serve as "the last step" when it comes to patient safety and medicine delivery, according to speakers at a webinar hosted on 15 September by the World Health Organization (WHO).
"Radiographers and technologists are often the last step in the chain before a patient receives medication," the U.K. Society of Radiographers (SoR) said in a statement issued on 16 September. "They have an essential role in double-checking that all pre-administration processes are complete, considering how they individualize their approach to medicines and support and advise patients appropriately for the imaging examination."
International Society of Radiographers and Radiological Technologists (ISRRT) President Donna Newman introduced the event. Presenters included representatives from WHO and from SoR who spoke on topics such as collaboration between the WHO and organizations like the ISRRT, the prescribing role of radiographers, considerations for contrast use with CT imaging, the prevention of misadministration of radiopharmaceuticals, and reducing the risk of adverse effects of contrast-enhancing agents using MRI.
![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)
