Radiopharmaceutical firm Ion Beam Applications (IBA) of Louvain-la-Neuve, Belgium, has received clearance from the U.S. Food and Drug Administration (FDA) for its pencil-beam scanning treatment option for proton therapy.
IBA developed the pencil-beam scanning (PBS) technology in collaboration with Massachusetts General Hospital in Boston to allow for enhanced dose delivery.
The PBS delivery method uses a proton beam that is actively scanned throughout the target tumor volume.
Related Reading
IBA opens Dallas PET facility, December 17, 2008
IBA responds to FDA warning letter, December 11, 2008
IBA opens production center in Dallas, December 2, 2008
IBA signs deal with Biotech Cyclotron, December 1, 2008
IBA's interim Q3 report shows mixed results, November 19, 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)
