Breast Imaging Categorical Course: Enhance Your Skills in Breast Cancer Diagnosis

This Breast Imaging Categorical Course is an excerpt from the Tumor Imaging Categorical Course, focusing exclusively on breast imaging lectures. Note that a book is not included with this purchase.

The course is designed to equip radiologists and radiologists-in-training with the essential knowledge and skills required for providing high-quality breast cancer screening and addressing disparities in care. The comprehensive curriculum covers various aspects of breast cancer imaging, including AI and pathology, adopting a multimodality approach.

Target Audience

This course is tailored for radiologists and radiologists-in-training who have a special interest in breast cancer imaging.

Course Objectives

Upon completing this course, learners will be able to:

• Explain the significance of mammography history and its evolution
• Discuss the importance of randomized controlled trials in breast cancer research
• Describe the advantages of breast cancer screening with ultrasound
• Explain the benefits of Contrast-enhanced mammography (CEM)
• Identify disparities in breast cancer and the implications of screening African American women
• Analyze the economics of breast cancer screening

Course Modules

The course is divided into three comprehensive modules:

Module 1: Breast Cancer Background History, BI-RADS, and Ultrasound

This module, led by Debra Copit, Sarah Friedewald, Melissa Durand, Donna Plecha, and Holly Marshall, provides an in-depth understanding of breast cancer history, BI-RADS, and ultrasound.

Module 2: Breast Cancer: BI-RADS, Tomosynthesis

In this module, Hannah Gilmore, Emily Conant, Regina Hooley, Jordana Phillips, Victoria L. Mango, Lars J. Grimm, Jennifer A. Harvey, Donna M. Plecha, Ana D. French, Reni S. Butler, Alexander K. Rende, and Jasmine Gandhi delve into BI-RADS, tomosynthesis, and other advanced topics in breast cancer imaging.

Module 3: Breast Cancer: MRI, AI, and Pathology

This final module, led by Jessica Leung, Stephanie Patterson, Dana Smetherman, Michael Fishman, Ethan O. Cohen, Carol T. McLaughlin, Annette I. Joe, Clare Poynton, Priscilla J. Slanetz, and Amy K. Patel, explores the role of MRI, AI, and pathology in breast cancer diagnosis and treatment.

By completing this comprehensive course, radiologists and radiologists-in-training will gain the necessary knowledge and skills to provide high-quality breast cancer screening and address disparities in care.

Enroll now and take the first step towards enhancing your skills in breast cancer diagnosis!