Eckert & Ziegler, parent company of radiotherapy and radioisotope developer Eckert & Ziegler Isotope Products, has announced it will not increase or pursue its offer to acquire Theragenics due to resistance from Theragenics' board of directors.
The Theragenics board was opposed to a negotiated transaction, and there is no evidence that the additional effort of a hostile takeover would be justified, according to Eckert & Ziegler.
On 17 March, Eckert & Ziegler announced a proposal to acquire all of Theragenics' outstanding shares for $2.20 per share in cash. The offer was worth $74 million U.S. (52 million euros) and a premium of 38.4% more than Theragenics' closing stock price on 16 March.
On 25 March, Theragenics notified Eckert & Ziegler that its board of directors determined it was not advisable for Theragenics to pursue a sale of the company at this time because the proposal "grossly" undervalued its business and prospects, Eckert & Ziegler said.
A hostile takeover bid is more costly and time-consuming than a consensual transaction, the firm said. Lacking evidence of a substantially increased business value, Eckert & Ziegler decided against pursuing the transaction.
![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)
