Median Technologies of Biot, France, has signed an agreement with CETIR Grup Mèdic of Barcelona, Spain, to install its LMS-Lung and LMS-Liver computer-aided detection (CAD) software.
The technology will be integrated at Clínica Nuestra Señora del Pilar in Barcelona with the radiology services provider's Impax PACS network from Agfa HealthCare of Mortsel, Belgium.
Median also plans to expand the CAD software implementation to CETIR's other sites.
Related Reading
Road to RSNA, Median Technologies, November 1, 2007
Median gets 510(k) for lung and liver apps, June 18, 2007
Road to RSNA, Median Technologies, November 3, 2006
French CAD firm Median raises 10 million euros, March 8, 2006
Median gets 4 million euro boost, November 24, 2004
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)
