Agfa-Gevaert of Mortsel, Belgium, reportedly has spoken with Erlangen, Germany-based Siemens about the possibility of selling Agfa HealthCare as part of its strategic review process, according to published reports.
The Financial Times reported that Los Angeles-based equity group Gores Group also has shown interest in acquiring Agfa HealthCare. If Gores were to acquire the division, the story added that Gores is likely to leave management of the healthcare operations in place.
Gores already has holdings in the healthcare market. In July 2007, the group purchased the diagnostic imaging division of HealthSouth of Birmingham, AL. The new company, Diagnostic Health, is one of the larger imaging center chains in the U.S.
The report also noted that an acquisition of Agfa HealthCare by Gores could generate opposition from organized labor in Belgium, adding that the transaction would result in some short-term layoffs.
In 2007, Agfa HealthCare posted net sales of approximately $2.2 billion (U.S.).
Representatives for Agfa and Siemens Healthcare of Malvern, PA, declined to comment to AuntMinnie.com on the report.
Related Reading
Agfa to proceed with Chinese RIS/PACS project, June 10, 2008
Agfa reaches Impax milestone, launches clinical applications package, May 15, 2008
Agfa unveils new Impax product, May 5, 2008
Agfa lands European contracts, March 10, 2008
A new player in imaging services: Diagnostic Health, August 21, 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)
