SBI Webinar: Missed Breast Cancers: Pearls & Pitfalls
Breast imaging radiologists play a central role in the early detection of breast cancer. However, the detection of breast cancer often involves complex perceptual, cognitive, and technical considerations and studies have shown that over 30% of both interval and screen detected cancers can be classified as missed. Therefore, it is important to increase knowledge and awareness of causes of missed breast cancer at imaging to improve patient care and outcomes.
In this case-based webinar, Dr. Greenwood and Dr. Ataya will share cases of missed breast cancers, review common imaging presentations of missed breast cancers, and discuss technical causes and cognitive and unconscious biases that contribute to missed breast cancers. This webinar will help attendees identify and recognize common factors contributing to missed breast cancers and provide strategies to implement in practice to mitigate missed breast cancers. A live question and answer session at the conclusion of the webinar will address attendees’ questions.
Earn up to 1 AMA PRA Category 1 Credit(s)TM
CME Released: 08/31/2023 CME Expires: 8/31/2026
Statement of Accreditation- This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of Michigan State Medical Society and Society of Breast Imaging. The Michigan State Medical Society is accredited by the ACCME to provide continuing medical education for physicians.
AMA Credit Designation Statement- The Michigan State Medical Society designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- Recognize the imaging presentation of the most commonly missed and misinterpreted breast lesions.
- Implement minimization strategies in clinical practice to reduce the number of missed breast cancers.
- Understand the common reasons breast cancers are missed (including technical reasons as well as cognitive and unconscious biases that impact image interpretation) .