CT laser mammography (CTLM) developer Imaging Diagnostic Systems (IDSI) of Fort Lauderdale, FL, has renewed its distribution contract with Edo Med as its exclusive distributor in Poland.
Edo Med will continue to market and provide technical service support for IDSI's CTLM system throughout Poland, as well as assist with and promote the ongoing research efforts utilizing CTLM technology at the Comprehensive Cancer Centre in Gliwice, Poland, and other institutes and research centers.
Related Reading
IDSI adds new CTLM algorithm, March 24, 2009
IDSI adds new distributor, March 19, 2009
IDSI taps Oman distributor, March 18, 2009
IDSI expands to Middle East, March 12, 2009
CTLM with mammo boosts breast cancer diagnosis, December 4, 2008
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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)
