The addition of local radiotherapy to hormone therapy for prostate cancer halves the risk of death 15 years after diagnosis, according to a study published in the May edition of European Urology.
Researchers compared a common pill-based hormone therapy (antiandrogen), both with and without the addition of local radiotherapy. The results of a long-term follow-up 15 years after diagnosis showed treatments with the addition of radiotherapy halved the risk of patients dying from prostate cancer, from 34% to 17%.
The group from Umeå University in Sweden, along with colleagues in Norway and Denmark, recruited 875 patients treated for locally advanced prostate or aggressive prostate cancer at around 40 clinics in Sweden and Norway from 1996 to 2002, with continual follow-up. In 2009, the team published its first results in the Lancet, which contributed to changing the attitude toward treatment of older people with prostate cancer.
"When we published the first results of this study in the Lancet in 2009, we contributed to changing the attitude toward radiotherapy for older patients with advanced prostate cancer," said Dr. Anders Widmark, lead author and senior physician and professor at Umeå University. "In this follow-up study, we present even more evident results that clearly show how patients who previously were considered incurable, to a large extent can be cured, and that these patients should therefore be offered radiotherapy as an additional treatment."
Widmark and colleagues are also in the process of evaluating the quality of life of patients with prostate cancer who use hormone therapy, which will be published soon.












![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)




