Product Images Isovue-m

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Product Label Images

The following 3 images provide visual information about the product associated with Isovue-m NDC 0270-1411 by Bracco Diagnostics Inc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

ISOVUE-M 200 10x10mL - isovue m 200 10 ml

ISOVUE-M 200 10x10mL - isovue m 200 10 ml

This is a description for ISOVUE-M 200, a lopamidol injection solution manufactured by Bracco Diagnostics. It comes in a box of ten 10mL vials and has 20% organically bound iodine. This solution is for intrathecal use and each mL contains 408 mg iopamidol, 1 mg tromethamine, and 0.26 mg edetate calcium disodium. It is a sterile, nonpyrogenic, aqueous solution created by BIPSO GmbH in Singen, Germany. The solution should be discarded if not used and should be kept away from exposure to light. This solution is only available with a prescription and the insert should be consulted for indications and dosage information. LOT and EXP numbers are required.*

ISOVUE-M 300 10x15mL - isovue m 300 15 ml

ISOVUE-M 300 10x15mL - isovue m 300 15 ml

This is a description of a medical product called "lopamidol Injection 61%". It comes in a box containing 10 vials, and each vial has a volume of 15 mL. The National Drug Code (NDC) of the product is 0270-1412-15. It contains 30% organically bound iodine, and is meant for intrathecal use only. The solution is sterile, nonpyrogenic, and aqueous. Each mL of the solution includes 612 mg iopamidol along with other compounds. The product is manufactured for Bracco Diagnostics Inc. The product comes with an insert that has information on dosage and indications. The product is for single-use only, and unused portions must be discarded. The product must be stored between 20-25°C.*

Isovue-M structure - isovue m struct

Isovue-M structure - isovue m struct

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.