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Advanced Breast Imaging 2024 – CMEScience (Videos)
Home / Radiology cousres

Advanced Breast Imaging 2024 – CMEScience (Videos)

  • 2024 Classic Lectures in Pathology: What You Need to Know: Head and Neck/ Endocrine Pathology
  • ASTRO Practical Radiation Oncology Program 2023 (Videos)

$110.00

This Product is shared via google drive download link, So please share your correct Gmail id while placing the order .Please note that there are no CME points or certificate associated with this course Samples for Courses Can be found here : Free Samples Here!

21 videos, size: 4.23 GB

Categories: Obstetrics & Gynecology COURSES, Radiology cousres
  • 2024 Classic Lectures in Pathology: What You Need to Know: Head and Neck/ Endocrine Pathology
  • ASTRO Practical Radiation Oncology Program 2023 (Videos)
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  • Description

 21 videos, size: 4.23 GB

Release date: November 27th, 2023

• Expiration date: November 27th, 2025

• Estimated time to complete activity: 15 hours

 

Educational Objectives

Advanced Breast Imaging 2024 – CMEScience (Videos) Meet all of your MQSA CME requirements, as well as Breast MR CME requirements for ACR accreditation. We will cover digital mammography, breast MRI, breast ultrasound, tomosynthesis, interventional practices, breast cancer, lymph nodes, high risk lesions, BIRADS, implants, screening, risk management and more

At the conclusion of this activity, participants should better be able to:

  • Optimize imaging methods to reduce the number of false-positive mammography interpretations.
  • Describe recent advances and techniques in breast imaging.
  • Integrate information presented in this course into efforts to improve the imaging skills in practice.

Faculty

Ray C. Mayo, M.D.

  • Associate Professor of Radiology
    Department of Breast Imaging
    University of Texas
    The University of Texas M.D. Anderson Cancer Center, Houston, Texas

Tanya W.. Moseley, MD, FSBI, PMP, CMQ/OE, CN-BP

  • Professor, Department of Breast Imaging, Division of Diagnostic Imaging
    Professor, Department of Breast Surgical Oncology, Division of Surgery
    Distinguished Educator
    The University of Texas M.D. Anderson Cancer Center, Houston, Texas

Sunita Pal, M.D.

  • Clinical Associate Professor of Radiology
    Breast Imaging
    Stanford University School of Medicine

Sarah M. Pittman, MD, FRCPC

  • Clinical Associate Professor
    Department of Radiology
    Stanford University School of Medicine

Alfred B. Watson, Jr. MD, MPH, FSBI, FACR, FACPM

  • Distinguished Emeritus Professor of Radiology
    Baylor College of Medicine
    Houston, Texas

Course Curriculum

 

Advanced Breast Imaging 2024

  1. Tomosynthesis Update 2023: What Have We Learned? What’s Next? – Tanya Moseley, MD
  2. Is Contrast Enhanced Mammography a Better Mammogram – Tanya Moseley, MD
  3. Breast Anatomy and Benign Breast Entities with mammogram and Ultrasound Correlation – Sarah Pittman, MD
  4. Calcifications – Cody Mayo, MD
  5. BI-RADS 3 Dilemmas on Digital Mammography & Ultrasound – Sunita Pal, MD
  6. Challenging Calcification Cases on Digital Mammography – Sunita Pal, MD
  7. BI-RADS 3: Probably Benign – Cody Mayo, MD
  8. Tips on Improving Cancer Detection on Digital Mammo & Ultrasound Part 1 – Sunita Pal, MD
  9. Imaging After Breast Conservation Therapy – Sarah Pittman, MD
  10. Tips on Improving Cancer Detection on Digital Mammo & Ultrasound Part 2 – Sunita Pal, MD
  11. Multimodality Radiology-Pathology Correlation Elevated Risk Pathology – Sunita Pal, MD
  12. Simplifying Biopsies with Breast Ultrasound – Tanya Moseley, MD
  13. Breast Cancer Staging with Ultrasound – Cody Mayo, MD
  14. Targeted Axillary Dissection: History and Updates – Cody Mayo, MD
  15. Breast Cancer Localization – No More Wires – Cody Mayo, MD
  16. Breast MRI Approaches and Cases – Cody Mayo, MD
  17. Abbreviated Breast MRI and Novel Breast Imaging Modalities – Tanya Moseley, MD
  18. MR Guided Breast Biopsies: The Moseley Method – Tanya Moseley, MD
  19. Risk Management – Alfred Watson, MD
  20. Biomarkers and Neoadjuvant Imaging – Cody Mayo, MD
  21. Artificial Intelligence in Breast Imaging – Cody Mayo, MD

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