Mammography Assistant 1.4.0

The Mammography Assistant App provides a structured approach to breast cancer assessment and mammogram reporting, facilitating a more efficient workflow for radiologists. It is grounded in the BI-RADS Atlas 5th edition by the American College of Radiology, integrating extensive research on breast cancer classification.

BI-RADS Mode:

• Select relevant descriptors and sub-types for mammograms. The comprehensive algorithm yields a final BI-RADS category upon submission.
• Access sample images and detailed descriptions of each descriptor for enhanced understanding.
• Receive estimates of cancer likelihood along with recommended management strategies for each outcome.

Learning Mode:

• Engage with an intuitive interface to learn about different BI-RADS categories. The app provides detailed descriptions, malignancy likelihood, management options, and context-specific scenarios for each category.
• Explore sample cases associated with each category to reinforce learning.
• Enhance knowledge retention through quizzes that utilize an extensive case bank.

This app serves as a literature-based tool designed to assist radiologists in improving diagnostic accuracy and reporting efficacy in mammography. It synthesizes the findings of the BI-RADS Atlas alongside various peer-reviewed studies, striving to present a robust and comprehensive diagnostic algorithm.

The content adheres strictly to the definitions, terms, measurements, and categories delineated in the ACR BI-RADS 5th edition. While it includes a range of mammogram descriptor combinations leading to final classifications, these are not solely confined to those outlined in the Atlas. A thorough review of relevant scholarly articles participates in enhancing the diagnostic framework offered by the app.

It is important to note that this application is intended solely as an educational resource and does not replace the expert judgment of qualified radiologists. Ongoing efforts will be made to keep the app updated with the latest advancements and research findings in mammography.

This initiative is led by Dr. Akash Tomer, aimed at supporting practicing radiologists and radiology students. Feedback and inquiries can be directed to Dr. Akash Tomer at [email protected].