Imaging software developer AccuImage Diagnostics has received Food and Drug Administration clearance for PrimeLung, a CT lung nodule visualization program.
The program features a set of integrated modules, including one that provides 2-D and 3-D navigation and visualization tools. This module also includes automated analysis of nodules to obtain dimension, volume, and signal characteristics of regions identified by the operator, according to the South San Francisco, CA-based vendor.
Nodules are logged onto a database, and then a second module seeks a prior study to match nodules where appropriate, AccuImage said. Other PrimeLung components include an editable report generator and a work-in-progress module to identify suspicious areas of interest for further examination.
By AuntMinnie.com staff writersMarch 10, 2003
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![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)
