Product Images Lutathera
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Product Label Images
The following 6 images provide visual information about the product associated with Lutathera NDC 69488-003 by Advanced Accelerator Applications Usa, 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.
This is a description of a radioactive material package containing Lutetium Lu 177 dotatate injection. The package is classified as an ADR Type A package and has an activity of 370 MBg/mL (10 mCi/mL). The package includes a manufacturer lot number and expiration date. The manufacturer is Advanced Accelerator Applications and the package is intended for a specified customer. The National Drug Code for the product is 69488-003-70.*
This is a package containing a radioactive material called Lutetium Lu 177 dotatate injection, manufactured by Advanced Accelerator Applications USA, Inc. The package is labeled with information such as the activity level at calibration time, lot number, and expiration date. The contents are listed as Lu-177 with its radioactive activity. The recipient's information is not provided.*
Lutathera is a radioactive drug that is administered intravenously via single-dose vial. The package has instructions for use and should be read before administration. It contains Lutetium Lu 177 dotatate at a measured dose of 370 MBq (10 mCi/mL) of sulfon. The drug is intended for medical purposes and should be disposed of properly after use. The manufacturer's details are provided.*
Lutathera is a single-dose vial of lutetium Lu 177 dotatate injection for intravenous infusion. It is a prescription-only medicine and should be discarded if unused. The product should be stored at 25°C (77°F) and has an activity of 370 MBg/mL (10 mCi/mL) at the time of calibration. The manufacturer, address, and date and time of calibration and infusion are also provided along with the expiry date.*
* 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.