The parent company of computer-aided detection software developer Medicsight reported that it has received a notice that it is out of compliance with listing rules for the New York Stock Exchange (NYSE) Alternext U.S. exchange.
MGT Capital Investments of London said that it received the notice because the company failed to hold an annual shareholder meeting in 2008, as required by the exchange's listing standards.
MGT postponed the meeting because it has been considering "strategic alternatives" that would require shareholder approval. The company said it plans to hold a meeting before June 10, and that it has until March 10 to submit a plan to the exchange demonstrating its ability to regain compliance.
The company also commented on this week's proposal by the U.S. Centers for Medicare and Medicaid Services (CMS) not to establish federal reimbursement for virtual colonoscopy screening. Medicsight is in discussions with its strategic partners and clinical advisers to assess the implications that the ruling will have on the company, the firm said.
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Medicsight submits 510(k) for ColonCAD, November 20, 2008
Road to RSNA, CAD, Medicsight, October 30, 2008
Medicsight touts ESGAR colon CAD data, June 19, 2008
Medicsight parent trims net loss, March 18, 2008
Medicsight, Toshiba ink deal, February 14, 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)
