Product Images Choline C 11
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Choline C 11 NDC 60215-111 by The University Of Texas Md Anderson Cancer Center, 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.
final_product_vial - C 11 Label 1
This is a description of Choline C11 injection, which comes in a 30 mL multiple-dose vial. The vial contains a sterile, non-pyrogenic USP sodium chloride solution with choline [11C] and radioactive material. The contents must be used within 80 minutes of EOS and should not be used if cloudy or contains particulate matter. The product should be handled carefully, and the correct dosage must be calculated from the calibration date and time. The manufacturer is MDACC CRF, and the product should be stored in a shielded container at 20° to 25° C.*
choline_table2 - Table 2
choline_table3 - Table 3
This is a table showing the shield thickness (in millimeters) of lead (Pb) alongside the corresponding coefficient of attenuation for gamma radiation. The coefficients of attenuation represent the degree to which the radiation is absorbed by the shield material.*
choline_table4 - Table 4
This table shows the fraction of minutes remaining at various time intervals. The first column lists the time intervals in minutes, and the second column represents the fraction of minutes remaining as a percentage.*
choline_table5 - Table 5
This appears to be a table showing results of a study on patients, with the number of patients studied in different groups, and the number of true/false positive and negative diagnoses obtained from some sort of test. However, the exact nature and context of the study is not clear from this limited information.*
structure - choline 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.