French computer-aided detection (CAD) developer Median Technologies has received 510(k) clearance from the U.S. Food and Drug Administration for its LMS-Lung/Track and LMS-Liver applications.
The applications are part of the company's Median LMS (Lesion Management Solutions) portfolio of applications for chest and liver CT scans. The package provides automated tools for image visualization, lesion detection and quantification, temporal evolution assessment, and automatic reporting in lung, liver, and colon CT scans, the company said.
Like other LMS applications, LMS-Lung/Track and LMS-Liver are available from standalone workstations, through a PACS workstation, or on any PC on a computer network.
By AuntMinnie.com staff writers
June 18, 2007
Related Reading
Related Reading, 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 © 2007 AuntMinnie.com
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)