Radiation oncology firm Elekta of Stockholm has completed its first-ever order in New Zealand.
Auckland Radiation Oncology (ARO) has purchased a new Elekta Synergy system with Mosaiq electronic medical record and Elekta volumetric modulated arc therapy (VMAT). The intensity-modulated radiation therapy device is scheduled for delivery this month.
VMAT's cancer treatment technology is designed to simultaneously control the position and speed of the linear accelerator gantry, the multileaf collimator, and the dose rate, enabling highly conformal radiation doses to be delivered to a tumor target site and sparing surrounding healthy tissue.
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Elekta completes CMS purchase, March 5, 2008
Elekta receives French MEG contract, February 22, 2008
Elekta to buy CMS, February 19, 2008
Elekta lands Nebraska MEG installation, February 11, 2008
Elekta repurchases own shares, January 24, 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)
