Breast MRI from Basics to Cutting-Edge Advances
Weekend Course
ORGANIZERS: Nandita DeSouza, Mami Iima
Sunday, 05 May 2024
Room 334-336
13:15 -
15:15
Moderators: Min Sun Bae & Ritse Mann
Skill Level: Basic to Advanced
Session Number: WE-30
CME Credit
Session Number: WE-30
Overview
This is an educational program that provides a comprehensive understanding of breast MRI and its clinical applications. The course covers BI-RADS interpretation methods, DWI and DCE-MRI imaging and analyzing techniques, and the evolving role of AI in breast MRI.
Target Audience
MR physicians and physicists interested in fundamental principles, techniques, best practices, and emerging advancements in breast MRI, aiming to enhance knowledge and expertise in this field.
Educational Objectives
As a result of attending this course, participants should be able to:
- Develop expertise in utilizing the BI-RADS system and other interpretation methods for accurate analysis of breast imaging;
- Assess the advantages and drawbacks of DWI, abbreviated, and ultrafast DCE-MRI techniques in the context of breast imaging; and
- Explore the potential applications of AI in breast MRI, such as image analysis and lesion detection, while considering the challenges involved in implementing AI and ethical considerations.
| 13:15 | | BI-RADS & More Maya Honda Keywords: Body: Breast The need for breast MRI is expanding to include its role as a screening method and as an adjunct to personalized and minimally invasive treatment. The next BI-RADS 6th edition will include several additional non-contrast MR methods, which can complement dynamic contrast-enhanced MRI to more accurately evaluate breast lesions and address expanding clinical needs. This talk will focus on the standard dynamic contrast-enhanced MRI as well as non-contrast sequences that will be published in BI-RADS 6 th edition to take advantage of the new edition. |
| 13:40 | | Harnessing AI for Advancements in Breast MRI Sarah Eskreis-Winkler Keywords: Body: Breast In this presentation, we will review applications of artificial intelligence in breast MR, including breast cancer risk prediction, exam triage, lesion detection/classification, image quality/reconstruction, and predicting treatment response. We will discuss the challenges of deep learning for breast MR and future directions. |
| 14:05 | | DWI to Enhance Interpretation of Breast MRI Paola Clauser Keywords: Body: Breast, Contrast mechanisms: Diffusion, Cross-organ: Cancer Breast magnetic resonance imaging (bMRI) plays a central role in breast cancer diagnosis and management. Diffusion weighted imaging (DWI) is a helpful additional tool for the characterization of bMRI enhancing lesions. Apparent diffusion coefficient (ADC) values vary depending on the lesion type, benign or malignant, and the information on ADC can aid in the differential diagnosis. Benign lesions typically present with a high ADC. Thus, the measurement of high ADC values in a lesion can safely rule out malignancy. ADC values also correlate with cancer aggressiveness, with more aggressive cancers presenting with lower ADC value. |
| 14:30 | | Revolution of DCE: Abbreviated MRI & Ultrafast Imaging Yiming Gao Keywords: Body: Breast Future directions in breast MRI aim not only to improve accuracy of breast cancer detection, but also to reduce barriers for wider adoption. Abbreviated breast MRI is gaining acceptance by way of reducing cost and increasing efficiency while maintaining diagnostic performance. Innovative techniques such as ultrafast imaging helps further enhance sensitivity and specificity of the MRI exam. In this session, we will discuss the clinical role and outcomes of abbreviated breast MRI, and explore potential advantages and limitations of ultrafast imaging as a part of the abbreviated protocol. |
| 14:55 | | Break & Meet the Teachers |