Fueled by sales growth in its Nuclear Imaging segment, radiation therapy and radiopharmaceutical developer Eckert & Ziegler Strahlen-und Medizintechnik set new sales records at the six-month mark of 2009 (end-June 30).
Sales climbed to 52 million euros ($72.8 million U.S.) in the six-month period, compared with 32 million euros ($44.8 million U.S.) for the same period of 2008. The group's profit more than doubled to 4 million euros ($5.6 million U.S.) compared to the same period a year ago.
Six-month sales advanced to 26.3 million euros ($36.8 million U.S.), compared with 14.4 million euros ($20.1 million U.S.) at the midway mark of 2008. The segment's six-month profit increased to 3.2 million euros ($4.5 million U.S.), compared with 2.3 million euros ($3.2 million U.S.) in the same period a year ago. The company's year-to-date numbers were lifted by the acquisition of Nuclitec in January.
Eckert & Ziegler also noted that its Radiopharmaceuticals segment posted a six-month profit of 200,000 euros ($280,000 U.S.), despite launch costs for new products. In addition, revenue in the Therapy Segment unit rose 41%, driven primarily by the doubling of afterloader sales in Eastern Europe, compared to the same period of 2008.
Related Reading
Eckert & Ziegler acquires Nuclitec, January 26, 2009
Eckert & Ziegler, IBt consolidate brachytherapy units, February 19, 2008
Eckert & Ziegler launch new gallium generator, November 13, 2007
Eckert & Ziegler ends deal with RadQual, March 15, 2007
Eckert & Ziegler notch Venezuelan order, January 4, 2007
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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)
