Program Information

Innovations in Clinical Breast Imaging

B Liu

K Yang

M Yaffe

M Keralapura

B Liu¹*, K Yang²*, M Yaffe³*, M Keralapura⁴*, (1) Massachusetts General Hospital, Boston, MA, (2) University of Oklahoma, Oklahomoa City, OK, (3) Univ Toronto, Toronto, ON, (4) GE/U-Systems, Sunnyvale, CA

Presentations

TH-A-18A-1 Thursday 7:30AM - 9:30AM Room: 18A

Several novel modalities have been or are on the verge of being introduced into the breast imaging clinic. These include tomosynthesis imaging, dedicated breast CT, contrast-enhanced digital mammography, and automated breast ultrasound, all of which are covered in this course.

Tomosynthesis and dedicated breast CT address the problem of tissue superimposition that limits mammography screening performance, by improved or full resolution of the 3D breast morphology. Contrast-enhanced digital mammography provides functional information that allows for visualization of tumor angiogenesis. 3D breast ultrasound has high sensitivity for tumor detection in dense breasts, but the imaging exam was traditionally performed by radiologists. In automated breast ultrasound, the scan is performed in an automated fashion, making for a more practical imaging tool, that is now used as an adjunct to digital mammography in breast cancer screening.

This course will provide medical physicists with an in-depth understanding of the imaging physics of each of these four novel imaging techniques, as well as the rationale and implementation of QC procedures. Further, basic clinical applications and work flow issues will be discussed.

Learning Objectives:
1. To be able to describe the underlying physical and physiological principles of each imaging technique, and to understand the corresponding imaging acquisition process.
2. To be able to describe the critical system components and their performance requirements.
3. To understand the rationale and implementation of quality control procedures, as well as regulatory requirements for systems with FDA approval.
4. To learn about clinical applications and understand risks and benefits/ strength and weakness of each modality in terms of clinical breast imaging.

Funding Support, Disclosures, and Conflict of Interest: Bob Liu was partially supported by NIH grant 1R01EB015478-01. Kai Yang was partially supported by NIBIB R01 EB002138. Martin Yaffe has a research collaboration on tomosynthesis and contrast-enhanced mammography with GE Healthcare and is a founder and shareholder of Matakina Technology Limited. Jiayu Chen is an employee of GE/U-systems.

Handouts

• 90-25409-333462-103079.pdf (B Liu)

• 90-25410-333462-103373.pdf (K Yang)

• 90-25411-333462-103367.pdf (M Yaffe)

• 90-25765-333462-108713.pdf (M Keralapura)

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