Product Images Lipiodol

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Product Label Images

The following 4 images provide visual information about the product associated with Lipiodol NDC 67684-1901 by Guerbet Llc, 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.

carton 4 8

carton 4 8

This text seems to be a warning label or instruction regarding the administration of a medical product. It indicates that the product is only to be used for certain types of administration, such as intrauterine, intralymphatic, and selective hepatic intra-arterial, and that it should not be used for infrauterine administration. The product is identified by a code, "MT10349AA".*

image of the ampuole label - lipiodol amp

image of the ampuole label - lipiodol amp

Lipiodol is a medication for intrauterine, infralymphatic, and selective hepatic intra-arterial administration only. It contains 4.8 g iodine per 10 mL, and is packaged in 10 mL single-use vials. The manufacturer is Guerbet LLC, and the product is protected from light. Further dosage information can be found in the package insert.*

image of the carton - lipiodol carton

image of the carton - lipiodol carton

Lipiodol (Ethiodized Oil) Injection is a sterile liquid mixture of 4.8 g iodine per 10 mL (480 mg iodine per mL) manufactured for Guerbet LIC by Jubilant HollisterStier General Partnership. The usual dosage is mentioned in the package insert. The drug product must be visually inspected for particulate matter and discoloration before use. The storage temperature must be between 15°C and 30°C (59-86°F), and it must be kept in its original packaging protected from light. The carton must not be opened until it is ready for use. This drug is for single-use only, and it comes in a 10 mL ampoule. It is mainly used for infrauterine and hepatological purposes.*

vial 4 8

vial 4 8

* 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.