New sales powered Swedish oncology firm Elekta to healthy growth in its year-end fiscal year 2009 results (end-April 30).
The Stockholm-based firm reported an 18% increase in net sales to 6.69 billion kronor ($869.6 million U.S.) in fiscal year 2009 compared to 2008. Net profit advanced to 546 million kronor ($70.9 million U.S) in fiscal year 2009 over fiscal year 2008.
The company also projected that net sales for fiscal year 2010 will increase by more than 8%, with operating profit gaining more than 35%.
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Elekta signs Ottawa Hospital, May 27, 2009
Elekta, Nucletron ink Mosaiq deal, May 19, 2009
Elekta nabs U.S. GPO contract, April 23, 2009
Elekta lands Neuromag install, April 17, 2009
Elekta installs Perfexion in Japan, February 26, 2009
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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)
