Radiation oncology firm Nucletron of Veenendaal, the Netherlands, has signed license agreements with MedCom of Darmstadt, Germany, and Pi Medical in Athens, Greece, for Oncentra Seeds, the next-generation seeds treatment planning module of Oncentra Prostate.
The new seeds-planning functionality will be integrated in Oncentra Prostate, the platform for Nucletron's treatment planning systems for prostate brachytherapy. Oncentra Seeds works with Nucletron's SeedSelectron system but also with other seed delivery systems.
Oncentra Seeds will be released in December following Nucletron's existing SPOT (Sonographic Planning of Oncology Treatment) Pro system for seeds treatment planning, according to the company.
Related Reading
Nucletron partners with Velocity, September 14, 2010
Nucletron debuts Oncentra v4.0, July 20, 2010
Nucletron posts record 2009 earnings, May 26, 2010
Nucletron completes German order, May 24, 2010
Nucletron, ART add AccuBoost customer, May 17, 2010
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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)
