Siemens Healthcare's Artiste Solution accelerator for adaptive radiation therapy has been installed in three institutions, according to the Malvern, PA-based company.
Artiste is being used to treat patients in the Maastro Clinic in the Netherlands, the German Cancer Research Center in Heidelberg, and Baton Rouge General's Pennington Cancer Center in Louisiana.
Artiste is an integrated imaging and workflow device with image-guided and treatment delivery protocols, including in-room CT imaging capabilities and a new multileaf collimator.
Related Reading
Siemens lands first U.K. order for P50, June 23, 2008
Siemens shows IQ-SPECT, June 16, 2008
Siemens to debut new echo system, June 10, 2008
Siemens donates to China earthquake relief, May 28, 2008
Siemens takes U.K. order for Artis zee, May 21, 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&fit=crop&h=112&q=70&w=112)




