Pearls and Pitfalls of Challenging Cases (MMG, US, MRI, CEM) (2024)-W8-CBR03-2024

Video Transcription

Video Summary

The lecture, delivered by Silvia Pereira-Rodrigo and colleagues from MD Anderson Cancer Center, focuses on the complexities of breast imaging and the challenges in screening, particularly with varying global guidelines. Silvia emphasizes the effectiveness of mammography for average-risk patients, noting its significant role in reducing breast cancer mortality rates. However, she highlights its limitations, particularly in dense breasts, and the need for additional screening methods for high-risk groups, such as using MRI and tomosynthesis for more precise detection. The discussion extends to the integration of AI in enhancing imaging accuracy and efficiency. The session also delves into case studies showcasing the difficulty in diagnosing breast anomalies where careful correlation of imaging and pathology is crucial. Beatriz Adrada and Sherry Kuzmiak present cases involving complex imaging diagnostics, emphasizing the importance of distinguishing between benign and malignant anomalies, and ensuring accurate radiologic-pathologic correlation to prevent missed diagnoses. They advocate for thorough sampling and maintaining clear communication with pathologists to ensure accurate diagnosis and treatment planning.

Keywords

breast imaging

mammography

breast cancer

dense breasts

MRI

tomosynthesis

AI in imaging

radiologic-pathologic correlation

diagnosis