Product Images Fluorodopa F18

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Fluorodopa F18 NDC 13267-346 by The Feinstein Institutes For Medical Research, 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.

FDOPA Lead Pig Label - FDOPA Lead Pig Label 40mCi per mL

FDOPA Lead Pig Label - FDOPA Lead Pig Label 40mCi per mL

This is a label for a carton containing Atiple Dose Vil Fluorodopa F 18 Injection used for intravenous diagnostic purposes, containing 37 MBq/L or 1450 MBq/L. The recommended dosage is available in the prescribing information. It is advised not to use it if it contains a contradiction, may cause radioactive activity, and has an expiration date. The text mentions a certain dose containing specific milligrams of substances and certain restrictions on handling it. However, the text is not fully readable, making some parts of the text incomprehensible.*

FDOPA Vial Label - FDOPA Vial Label 40mCi per mL

FDOPA Vial Label - FDOPA Vial Label 40mCi per mL

This is a label for a final printed container of Fluorodopa F 18 injection with a recommended dosage to be determined by Prescription Information. The container has a caution for being a radioactive material and should not be used if cloudy or contains any foreign particle. The label includes information about the manufacturer, the concentration, and storage instructions. The last section provides details on the use of the drug or calculation for dosages.*

FDOPA Negative Scan - fdopa negative scan

FDOPA Negative Scan - fdopa negative scan

FDOPA Positive Scan - fdopa positive scans

FDOPA Positive Scan - fdopa positive scans

FDOPA Structure - fdopa structure

FDOPA Structure - fdopa structure

* 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.