Cardiogen-82 Injection, Solution
Product Images NDC 0270-0091

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Cardiogen-82 (NDC 0270-0091). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bracco Diagnostics 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

Cardiogen-82 Decay Chart (Cardiogen 82 Assay Data Label)

Cardiogen-82 Decay Chart (Cardiogen 82 Assay Data Label)
CARDIOGEN-82® is a Rubidium Rb 82 Generator used for cardiac imaging. The text provides information about the Sr-82 activity of the generator, including its total activity, Sr-85/Sr-82 ratio, and decay chart. It also lists the remaining days for different fractions of the Sr-82 activity. The text suggests to stop the use of the generator once any of the expiration limits are reached. The manufacturer of the CARDIOGEN-82® is Bracco Diagnostics Inc., Monroe Twp., NJ 08831.*
FDA Label Image

Cardiogen 82 (Cardiogen 82 Container Label)

Cardiogen 82 (Cardiogen 82 Container Label)
This is a description for a radioactive diagnostic agent called Rubidium Rb 82 Generator. It should only be handled by qualified personnel and stored at a specific temperature range. The generator contains Strontium Sr 82 adsorbed on hydrous stannic oxide and should not be removed from its lead shield. This generator is used for the elution of sterile nonpyrogenic Rubidium Chioride Rb 82 and proper dosage can be found in the Prescribing Information. It is manufactured for Bracco Diagnostics Inc. by GE Healthcare, Medi-Physics, Inc. and is made in the USA. Refer to the CardioGen-82 Infusion System Operator Manual for proper use. Radiation safety precautions should be maintained at all times.*

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