Entero Vu 24%
Product Images NDC 32909-145

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Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Entero Vu 24% (NDC 32909-145). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by E-z-em Canada Inc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Barium Sulfate Chemical Structure

FDA Label Image

Entero Vu 24 External Label

Entero Vu 24 External Label
ENTERO VU is an oral suspension containing barium sulfate and other inactive ingredients. It is used for small bowel radiographic exams to visualize the gastrointestinal tract in adult patients. The recommended dosage should be obtained from the prescribing information. Each bottle contains 100 mL with 24 g barium sulfate. It is manufactured by E-ZEM Canada Inc. and distributed by Bracco Diagnostics Inc. Store it in a controlled room temperature between 20-25°C and protect from freezing. Lot and expiry encoding area are available.*
FDA Label Image

Entero Vu 24 Internal Label

Entero Vu 24 Internal Label
This is a description of a product called "ENTERO VU™ 24%". The product is intended for oral use only and is used in small bowel radiographic examinations to help visualize the gastrointestinal tract in adult patients. The recommended dosage is available in the prescribing information. The product comes in a single-dose bottle and must be fully shaken prior to use. Any unused portion should be discarded. The product must be stored at a USP controlled room temperature of 20°-25°C (68°F to 77°F) and protected from freezing. The manufacturer is EZ-EM Canada Inc. located in Anjou, Quebec, and the product is distributed by Bracco Diagnostics Inc., located in Monroe Township, NJ.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.