Italian women's imaging vendor Internazional Medica Scientifica (IMS) has released a new flagship mammography system, called Giotto Class. The new system supports digital breast tomosynthesis (DBT) and has begun shipping.
Giotto Class on display at ECR 2015.IMS plans to position Giotto Class as a versatile system that can support 2D mammography, DBT, and biopsy procedures, including tomo-based biopsy. The firm sees biopsy in particular as a niche, with Giotto Class supporting both tomo or stereotactic biopsies, and with patients positioned in either the prone or supine position.
IMS currently addresses the tomosynthesis market niche in Europe with its Giotto Tomo unit, but the company wanted to develop a system that was more optimized for breast biopsy. Giotto in particular has a reputation for its prone biopsy technology, according to the firm, and Giotto Class is compatible with all biopsy systems currently on the market, providing 360° biopsy access with both lateral and craniocaudal approaches.
Giotto Class builds on the same amorphous selenium-based digital detector technology found on Giotto Tomo, with a pixel pitch of 85 microns. In tomosynthesis mode, it acquires images in a step-and-shoot mode with a 30° angle with only 11 exposures required.
The system will also support synthetic 2D mammography, in which 2D images are created from 3D tomosynthesis datasets. This approach obviates the requirement for some clinical applications such as screening that a conventional mammogram be acquired along with a tomo image.
IMS began shipping the system after receiving the CE Mark. The company would like to also market the system in the U.S., but must complete a clinical trial to support an application with the U.S. Food and Drug Administration.
![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)
