Radiation therapy firm Varian Medical Systems of Palo Alto, CA, is expanding the market reach of its RapidArc image-guided intensity-modulated radiotherapy (IMRT) system into Sweden.
Karolinska Hospital in Stockholm will become the first facility in that country to offer RapidArc treatments.
Varian has delivered three RapidArc systems and four replacement Clinac linear accelerators to Karolinska.
Related Reading
Varian's RapidArc radiotherapy used in Europe, May 15, 2008
B-K Medical, Varian collaborate, April 30, 2008
Varian achieves double-digit gains in Q2, April 25, 2008
Varian touts 60-plus orders for RapidArc, April 24, 2008
Varian launches case management software, March 21, 2008
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![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)
