Image-guided surgery developer Brainlab has installed its ExacTrac Dynamic radiation therapy patient positioning and monitoring system at Addenbrooke's Hospital in Cambridge, U.K.
The system, which combines 4D thermal-surface camera technology with real-time x-ray tracking, enables delivery of radiotherapy and radiotherapy with submillimeter accuracy for treating cancer and other conditions, according to the institution. Addenbrooke's is the first hospital in the U.K. to receive ExacTrac Dynamic.
The development means the hospital will be able to offer stereotactic radiosurgery and stereotactic ablative radiation treatment to patients not only with non-small cell lung cancer but also those with lung, lymph node, and non-spine bone oligometastatic disease. A further enhancement planned for the future will enable staff to track and treat tumors that move or change size and shape during a course of treatment, according to Brainlab.
![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)
