Radiopharmaceutical firm Ion Beam Applications (IBA) of Louvain-la-Neuve, Belgium, has signed a deal to build a proton therapy center in Trento, Italy.
The company inked the contract with Agenzia Provinciale Per la Protonterapia for the first gantry-equipped proton therapy center in the country.
IBA plans to include its newest pencil-beam scanning system at the facility, which is scheduled to open in 2013.
Related Reading
IBA inks pact with BV Cyclotron, June 1, 2009
IBA posts Q1 numbers, inks proton deal, May 11, 2009
FDA clears proton positioning system, April 29, 2009
IBA sells Cyclone 30 in Germany, March 25, 2009
IBA inks pact with Eczacıbaşı-Monrol, February 9, 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&fit=crop&h=112&q=70&w=112)





