BIEDX GRAND 2025 Intensive MRI Breast Reading Course

Course Description:

The GRAND Intensive MRI Breast Reading Course (IMBRC) is a comprehensive, practice-driven training experience that empowers radiologists to confidently approach breast MRI studies across a wide range of clinical indications.

This immersive course combines evidence-based learning, AI-assisted interpretation, and faculty-guided practice, enabling participants to sharpen their diagnostic acumen, refine interpretive strategies, and align reporting with current ACR BI-RADS MRI standards.

With focused exposure to both benign and malignant pathologies, post-surgical and post-therapy evaluations, and high-risk screening cases, participants will gain the interpretive confidence required to incorporate MRI effectively into breast imaging workflows.

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Learning Highlights

• MRI Breast Fundamentals:
  Understanding breast MRI physics, sequences, indications, and appropriate protocol selection for various clinical scenarios.

• Dynamic Contrast & DWI Analysis:
  Interpreting enhancement kinetics, time-intensity curves, and diffusion-weighted imaging for lesion characterization.

• BI-RADS MRI Framework:
  Applying standardized assessment and reporting for consistency, clarity, and clinical accuracy.

• Morphological & Kinetic Evaluation:
  Differentiating benign and malignant lesions using shape, margin, internal enhancement patterns, and dynamic analysis.

• Post-Treatment and Post-Surgical Imaging:
  Identifying normal post-operative changes, scar tissue, and recurrence patterns.

• Screening & High-Risk Cases:
  Evaluating breast MRI in high-risk populations and in problem-solving situations where mammography or ultrasound findings are inconclusive.

• AI-Enhanced MRI Reading:
  Demonstrating how artificial intelligence tools assist in lesion detection, segmentation, and workflow optimization.

• Case-Based Learning:
  Hands-on interpretation of diverse MRI breast cases, each with clinical history, correlation imaging, and pathology confirmation.

• Faculty-Led Discussions:
  Live debriefs, expert commentary, and peer-to-peer interaction for real-time learning and knowledge reinforcement.

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