Product Images Imatinib Mesylate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Imatinib Mesylate NDC 72485-202 by Armas Pharmaceuticals 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.
image description - fig1
This appears to be a figure related to a study or clinical trial, showing data on the progression-free survival of patients using two different treatments (Imatinib Mesylate and IFN+Arc-C). The figure includes a graph indicating the progression-free survival of the treatments over time, with the number of patients and hazard ratios also provided. The data is presented as months since randomization.*
image description - fig2
This is a report of a study with results regarding the time taken for the progression of a disease. The graph in Figure 2 shows the percentage of patients without progression over time, and the numbers of patients with or without progression in each treatment group. The study involved imatinib mesylate and IFN+Arc-C treatments. The hazard ratio was 0.474 [95% CI: 0.312,0.722] with a statistically significant p-value (less than 0.001) based on the log-rank test. The time in months since randomization is shown on the x-axis.*
image description - imatinib struc1.1
image description - label1.3
Each tablet contains 100mg of imatinib free base for the treatment of certain types of cancer. The usual dosage information is provided in the package insert. It is important to store the tablets in a light container at a temperature of 15-30°C (56-86°F) and keep them out of reach of children. The manufacturer is Shilpa Medicare Limited in India and the product is distributed by Mas Pharmaceutcl in the US. This is a prescription drug and the code is T?/DRUGS/013.*
* 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.