RSNA 2013 

Abstract Archives of the RSNA, 2013


LL-INE-SU5B

The Liver Imaging Atlas: A Structured Learning Resource of Liver Imaging

Education Exhibits

Presented on December 1, 2013
Presented as part of LL-INS-SUB: Informatics - Sunday Posters and Exhibits (1:00pm - 1:30pm)

Participants

Orpheus Kolokythas MD, Abstract Co-Author: Research Grant, Koninklijke Philips Electronics NV Consultant, Koninklijke Philips Electronics NV Advisory Board, Koninklijke Philips Electronics NV Research Grant, Bracco Group Equipment support, Supersonic Imagine
David Laughlin Coy MD, PhD, Abstract Co-Author: Nothing to Disclose
Puneet Bhargava MD, Presenter: Nothing to Disclose
Sadaf Fatima Zaidi MD, Abstract Co-Author: Nothing to Disclose
Sherif Osman MD, Abstract Co-Author: Nothing to Disclose
Neeraj Lalwani MD, Abstract Co-Author: Nothing to Disclose
Claudia Theresa Sadro MD, Abstract Co-Author: Nothing to Disclose
Lee M. Mitsumori MD, MS, Abstract Co-Author: Research Grant, Bayer AG Research Grant, General Electric Company Speaker, Bayer AG
Grace S. Phillips MD, Abstract Co-Author: Nothing to Disclose
Alex P. Tornow MD, Abstract Co-Author: Nothing to Disclose
Larissa Amelia Peguero Alemany MD, Abstract Co-Author: Nothing to Disclose
Luana Stanescu MD, Abstract Co-Author: Nothing to Disclose
Adeel Rahim Seyal MD, Abstract Co-Author: Grant, Siemens AG
Sarah Bastawrous DO, Abstract Co-Author: Nothing to Disclose

PURPOSE/AIM

1. To present a structured web-based interactive reference of liver imaging that includes a comprehensive spectrum of liver pathology in CT, MR, and ultrasound imaging. 2. To provide an educational resource for liver imaging targeted to radiologists in training and in practice.

CONTENT ORGANIZATION

The interactive educational website www.liveratlas.org has been designed with a detailed tagging system that allows authors to upload, structure, and categorize cases of liver imaging in CT, MR, and ultasound. The tagging system permits users of the atlas to filter, search, and retrieve cases by their general or modality-specific imaging features, disease category, diagnosis, or through a free text search. A quiz mode feature has been designed to allow the Liver Imaging Atlas to be used as a training tool by educators and residents. Cases in the atlas can be shared with colleagues via email and can be also saved for educational presentations and quizzes.

SUMMARY

The website www.liveratlas.org is an interactive comprehensive reference tool to rapidly and effectively access imaging examples of liver pathology on CT, MR and ultrasound. It allows radiologists to narrow down their differential diagnoses in specific clinical scenarios, test their diagnostic skills, and compile selections of interesting liver imaging cases to save and share.

Cite This Abstract

Kolokythas, O, Coy, D, Bhargava, P, Zaidi, S, Osman, S, Lalwani, N, Sadro, C, Mitsumori, L, Phillips, G, Tornow, A, Alemany, L, Stanescu, L, Seyal, A, Bastawrous, S, The Liver Imaging Atlas: A Structured Learning Resource of Liver Imaging.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13024492.html