France's national union of private radiologists (Fédération nationale des médecins radiologues, FNMR) has underlined the need to carry on scanning and caring for patients during the country's second lockdown, which began just after midnight on 30 October.
In a statement, the FNMR noted that health safety measures can ensure the protection of patients and staff in radiology departments so that exams and follow-up continue in the best conditions. These measures mean that no diagnosis or subsequent treatment need be delayed. Importantly, the measures will allow radiologists to perform organized and individual breast cancer screening exams, it added.
The FNMR is now waiting for official governmental communication from the regional health agencies that will not dissuade patients from attending appointments and will also actively encourage them not to delay going to medical facilities and undergoing imaging exams. The union also calls on all private radiologists to maintain activity during this second lockdown in the interests of their patients.
During the first lockdown, which began in mid-March, a lack of personal protective equipment forced many centers to reduce their activity, and governmental communication had panicked patients into avoiding attending medical appointments, including imaging, with the result that many diagnoses and follow-up treatments were delayed, according to the FNMR.
![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)
