Uncomfortable truths and systemic failures underlie results of a recent survey of radiography clinical managers, according to a statement issued on 12 September by the U.K. Society of Radiographers (SoR).
The SoR analyzed responses it received from a survey of more than 200 of its members and highlighted some startling concerns, including the following:
- 45% of managers have not received any manager training from their hospital.
- Almost 40% of respondents are expected to manage over 30 employees, and 52% manage 20 or more employees.
- A lack of human resources support was a concern for a large number of managers.
- Many managers are struggling to balance management and clinical duties.
"This survey has uncovered some uncomfortable truths and highlighted some systemic failures in organizations failing to support their managers. The expectations put on our manager members are higher than ever," the SoR said.
The SoR said it has developed an "Engaging Managers Network" to provide support and training to those who sign up, with the intention of filling the gap in organizations failing to provide training and human resources support.
![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)
