RSNA 2014 

Abstract Archives of the RSNA, 2014


GIE225

Multimodality Pictorial Review of Organ Procurement and Transplantation Network (OPTN) and Liver Imaging-Reporting and Data System (LI-RADS) Classification of Liver Lesions

Education Exhibits

Presented on December 3, 2014
Presented as part of GIS-WEB: Gastrointestinal Wednesday Poster Discussions

Participants

David Christopher Irwin MD, Abstract Co-Author: Nothing to Disclose
Sean D. Raj MD, Abstract Co-Author: Nothing to Disclose
Muzammil Hanif MD, Abstract Co-Author: Nothing to Disclose
Khozema Hussain MD, Abstract Co-Author: Nothing to Disclose
Daniel Anaya MD, Abstract Co-Author: Nothing to Disclose
Mark Alfred Sultenfuss MD, Presenter: Nothing to Disclose
David Sada MD, Abstract Co-Author: Nothing to Disclose

TEACHING POINTS

The Purpose of this exhibit is to: 1.  Understand the Organ Procurement and Transplantation Network (OPTN) and Liver Imaging-Reporting and Data System (LI-RADS) classification systems. 2.  Review the CT and MRI imaging characteristics of liver lesions classified by both the OPTN and LI-RADS classification systems. 3.  Correlate the CT and MRI features of OPTN and LIRADS category 3, 4, and 5 lesions with their transcatheter angiographic and contrast-enhanced cone-beam CT appearance.

TABLE OF CONTENTS/OUTLINE

Why use LIRADS and OPTN for liver lesion interpretation. United Network for Organ Sharing (UNOS) requirements for image acquisition. Applying the LIRADS and OPTN categories to liver lesions. Common features of both LIRADS and OPTN categories, with examples. Distinguishing features between LIRADS and OPTN categories, with examples. Examples of LIRADS and OPTN category 0-5 lesions based on CT, MRI, transcatheter angiography, and contrast-enhanced cone-beam CT.    

PDF UPLOAD

http://abstract1.rsna.org/uploads/2014/14007401/14007401_8qnm.pdf

Cite This Abstract

Irwin, D, Raj, S, Hanif, M, Hussain, K, Anaya, D, Sultenfuss, M, Sada, D, Multimodality Pictorial Review of Organ Procurement and Transplantation Network (OPTN) and Liver Imaging-Reporting and Data System (LI-RADS) Classification of Liver Lesions.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14007401.html