Siemens Healthcare of Erlangen, Germany, has begun commercial shipments in Europe of a full-field digital mammography (FFDM) system with 3D digital breast tomosynthesis (DBT) capability.
Siemens reported this month that it has integrated 3D tomosynthesis into its Mammomat Inspiration system, with the first units installed in Germany and Belgium. Digital breast tomosynthesis units use a panning gantry head to produce multiple projections of the breast that can be reconstructed into 3D images. This can help mammographers see around tissue structures that might obstruct tumors.
Basic versions of Mammomat Inspiration without the 3D tomo capability have been shipping since 2007, and Siemens said that these users will soon be able to upgrade to the new DBT capability.
DBT technology is not yet available in the U.S., pending the finalization of U.S. Food and Drug Administration (FDA) rules on how to review digital mammography systems.
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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)
