
The Scottish government has paused breast, cervical, and bowel cancer screenings in an effort to free National Health Service (NHS) resources in the midst of the COVID-19 pandemic, according to a report published on 30 March by the Herald Scotland.
The pause in services will be reassessed in 12 weeks, the government said. Results for those who have been recently screened will be processed, and patients with symptoms of these cancers should continue to contact their physicians.
"It is not an easy decision, but the balance of risk supports the approach that we are taking,"
First Minister Nicola Sturgeon said in the Herald report: "If you detect any symptoms of the conditions we would normally screen for -- if you notice a lump on your breast, for example -- then you should contact your GP immediately. We will restart the screening programs that we have paused as soon as we can."










![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)






