Meetings By Mail Penn Radiology Breast Imaging Immersion Vol.2 2026

Release Date: 5/12/26

This second volume of the Penn Radiology Breast Imaging Immersion is a focused analysis of multimodality innovations impacting the practice. Beyond traditional breast imaging and interventional tools, Penn Radiology’s renowned faculty examines rapidly developing techniques, including supplemental screening, contrast-enhanced mammography and abbreviated breast MRI. Additionally, the growing role of artificial intelligence is explored and debated.
Topics include: Abbreviated Breast MRI, contrast enhanced mammography, whole breast ultrasound, AI in breast imaging, breast cancer biology and risk prediction, DCIS, PET-CT, axillary lymph node management, multimodality options for guided biopsy and much more.
The Meetings By Mail – Penn Radiology Breast Imaging Immersion Vol. 2 (2026) is best for radiologists, breast imaging specialists, and trainees who want an intensive, case‑based, evidence‑driven update in breast imaging. It emphasizes practical interpretation skills, advanced modalities, and diagnostic accuracy in complex breast cases.
Who Should Use It

Breast radiologists seeking deeper immersion in advanced imaging.
General radiologists who interpret breast imaging in mixed practice settings.
Residents & fellows in radiology preparing for board exams or subspecialty training.
Breast surgeons & oncologists collaborating with radiology for patient care.
Technologists & allied health professionals involved in breast imaging workflows.

What You’ll Learn

Advanced mammography techniques: digital breast tomosynthesis, contrast‑enhanced mammography.
MRI applications: abbreviated breast MRI, problem‑solving MRI, and high‑risk screening.
Ultrasound pearls: whole‑breast screening and targeted diagnostic use.
Case‑based immersion: real patient scenarios to sharpen diagnostic accuracy.
Pitfalls & pearls: strategies to avoid misinterpretation and improve confidence.
Multidisciplinary integration: linking imaging findings to surgical and oncologic management.

Why It’s Valuable

Evidence‑based: reflects Penn Radiology’s expertise and current breast imaging guidelines.
Immersive format: intensive case‑based learning for skill reinforcement.
Practical focus: directly applicable to daily breast imaging practice.
Professional development: supports and continuing education requirements.
Patient‑centered: enhances early detection and accurate diagnosis of breast disease.

+ Topics:
Session 1: AI, Abbreviated MRI and More

Clinical Implementation of AI
Habib Rahbar, MD

Abbreviated Breast MRI: The Why and How of Clinical Implementation
Emily Conant, MD

AI for Breast Cancer Detection: Where Do We Stand?
Emily Conant, MD

Case Series: Challenging Multimodality Cases
Cindy Lee, MD, CMQ

Questions and Answers
Multiple Faculty

Session 2: Contrast Enhanced Mammography

Screening and Diagnostic Contrast Enhanced Mammography
Margarita L. Zuley, MD

So, You Want to Start CEM?
Margarita L. Zuley, MD

Case Series: CEM
Margarita L. Zuley, MD

Supplemental Screening: Ab-MRI vs. CEM
Habib Rahbar, MD

Questions and Answers
Multiple Faculty

Session 3: DCIS and Breast Cancer Updates

Breast Cancer Risk Prediction: Breast Density & Beyond…
Emily Conant, MD

Basics of Breast Cancer Biology for the Imager
Emily Conant, MD

PET-CT for Breast Cancer: Fluorodeoxyglucose and Fluoroestradiol
Sophia O’Brien, MD, MSEd

Imaging of DCIS: Controversies and Opportunities
Habib Rahbar, MD

Questions and Answers
Multiple Faculty

Session 4: Diagnosis and Management Challenges

Overdiagnosis or Underdiagnosis
Peter R. Eby, MD

Updates in Axillary Lymph Node Management
Habib Rahbar, MD

The Audit is Your Friend
Peter R. Eby, MD

Unknown Cases
Peter R. Eby, MD

Questions and Answers
Multiple Faculty

Session 5: Biopsy and Multimodality Perspectives

MR-Guided Biopsy: How I Do It
Peter R. Eby, MD

CEM-Guided Breast Biopsy
Margarita L. Zuley, MD

Case Review: Symptomatic Patients and Special Clinical or Challenging Scenarios
Habib Rahbar, MD

Questions and Answers
Multiple Faculty

End