Radiopharmaceutical firm Ion Beam Applications (IBA) has won the right to reapply for a contract with a proton therapy center in Sweden, after a Swedish court ruled that the contract had been granted wrongly to Varian Medical Systems of Palo Alto, CA.
In August, Varian was named to supply an estimated $60 million in products for Skandionkliniken, a new national proton therapy center owned by a consortium of seven of Sweden's counties.
However, IBA filed a complaint with the administrative court of Uppsala, Sweden, asserting violations of the application process, including that offers were wrongly evaluated, according to the Louvain-la-Neuve, Belgium-based company.
The contract, which included a five-year service agreement valued at approximately $25 million, called for Varian to supply a superconducting cyclotron, a beam line, and treatment room gantries, along with its Aria information management software and Eclipse treatment planning software.
On December 3, the court ruled there was a basis for IBA's complaint and ordered the cancellation of the contract grant. Subject to an appeal of that decision by the Joint Authority of County Council for Advanced Radiation Therapy, the tendering procedure for a new contract is scheduled to proceed, the company said.
Related Reading
IBA lands Italian install, December 3, 2009
IBA launches Proteus Nano, November 3, 2009
IBA launches proton rental program, October 30, 2009
Varian wins Swedish contract, August 20, 2009
Varian completes first Turkish order, August 11, 2009
Varian lands U.K. order, August 6, 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)
