
Proton therapy developer Ion Beam Applications (IBA) is teaming up with 19 industry and academic partners on ProtectTrial, a large-scale clinical trial in Europe to assess the use of proton therapy in treating esophageal cancer.
Coordinated by Dr. Cai Grau of Aarhus University in Denmark, ProtectTrial will include 12 proton therapy centers -- six of which are IBA centers -- across eight countries. The research project will test the potential benefits of proton therapy in a trimodality strategy of radiotherapy, chemotherapy, and surgery.
The trial's goal is to produce high-quality data that could contribute toward the formulation of European guidelines for using proton therapy in esophageal cancer, according to IBA. More broadly, the consortium also aims to improve patient selection for proton therapy across cancer indications through evaluation of selection criteria and creation of shared reimbursement guidelines, the company said.
About 400 patients are expected to be included in the randomized trial, which is expected to be completed by 2027, IBA said.










![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)








