Virtual colonoscopy and contrast developer E-Z-EM of Lake Success, NY, has inked a deal to market Sutter, CA-based 3CPM’s Electrogastrogram Analyzer, a device that aids in the diagnosis of dysrhythmia associated with gastric motility disorders.
The Electrogastrogram Analyzer is a noninvasive test that can identify and analyze the presence of gastric dysrhythmia -- a disturbance in the stomach’s natural myoelectrical activities. Dysrhythmia is associated with gastric motility disorders such as dyspepsia, unexplained nausea, vomiting, GERD+, and gastroparesis.
Under the terms of the agreement, E-Z-EM will have exclusive manufacturing, sales, marketing, and distribution rights to the device in the U.S., Europe, Africa, and certain Asian markets, the firm said.
By AuntMinnie.com staff writersApril 17, 2003
Related Reading
E-Z-EM shows sales growth in Q3, April 15, 2003
E-Z-EM and JPC ink multiyear deal, April 10, 2003
E-Z-EM closes deal with MAGNET, March 19, 2003
E-Z-EM to repurchase stock, March 7, 2003
E-Z-EM inks deal with SourceOne, February 17, 2003
Copyright © 2003 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&fit=crop&h=100&q=70&w=100)
![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)
