RSNA 2018

Abstract Archives of the RSNA, 2018


PS31

Tuesday Morning Plenary Session

Tuesday, Nov. 27 10:30AM - 12:00PM Room: E451B

CHCTPHSQ

AMA PRA Category 1 Credits ™: 1.50
ARRT Category A+ Credit: .75

Participants
Vijay M. Rao, MD, Philadelphia, PA (Presenter) Nothing to Disclose
Bruce R. Thomadsen, PhD, Madison, WI (Introduction) Nothing to Disclose

Sub-Events
PS31A

Participants
Paul E. Kinahan, PhD, Seattle, WA (Moderator) Research Grant, General Electric Company; Co-founder, PET/X LLC

PS31B

Participants
Cynthia H. McCollough, PhD, Rochester, MN (Presenter) Research Grant, Siemens AG

For information about this presentation, contact:

McCollough.cynthia@mayo.edu

LEARNING OBJECTIVES

1) Identify key technological advances in x-ray computed tomography. 2) Describe new clinical applications that have been enabled by these technology advances. 3) List important technical advances that have facilitated CT dose reduction. 4) Appreciate the continued decline in CT doses since its inception. 5) Apply caution in reducing CT doses for low-contrast detection tasks.

PS31C

Participants
Denise R. Aberle, MD, Los Angeles, CA (Presenter) Consultant, Siemens AG

LEARNING OBJECTIVES

1) To learn the current role of CT in lung cancer screening and early detection. 2) To examine current approaches to the classification of indeterminate lung nodules. 3) To understand the basis for using an atlas to standardize semantic features of lung nodules. 4) To appreciate the potential of semantic, quantitative, and machine learning approaches in nodule classification.