Computer-aided detection (CAD) firm iCAD of Nashua, NH, has launched in Europe a version of its SecondLook software that analyzes images acquired by computed radiography (CR) mammography systems from Agfa HealthCare of Mortsel, Belgium.
iCAD said it has received the CE Mark to sell a customized version of its software with Agfa CR systems, and the first units have been placed at Bundesknappschaftskrankenhaus Püttlingen in Germany.
Related Reading
iCAD expands CAD portfolio, December 1, 2008
Road to RSNA, CAD, iCAD, October 30, 2008
iCAD posts record Q3, October 30, 2008
Agfa signs Antwerp University Hospital, December 10, 2008
Agfa teams with Median, gets U.K. install, December 2, 2008
Agfa shows CR data management software, products at RSNA 2008, November 30, 2008
Copyright © 2008 AuntMinnie.com
![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)
