Radiation therapy firm Varian Medical Systems has announced the sale of seven radiation therapy machines to the Instituto Português Oncologia in Porto, Portugal.
The project involves the complete reconstruction of an institute that began treating cancer patients in 1974. The order includes the installation of the country's first Novalis Tx device for advanced radiosurgery and two Trilogy medical linear accelerators, in addition to four Clinac DHX linacs and the Aria oncology information software with 64 workstations and 15 treatment planning systems.
Placed in August, the order comprises the largest single radiation therapy order ever installed in Portugal, said the Palo Alto, CA-based firm.
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Varian wins Latvia contract, October 15, 2009
Varian wins Florida radiosurgery contract, September 18, 2009
Varian reports Australian milestone, September 17, 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)
