Sana Parsian MD, Presenter: Nothing to Disclose

Xue Susan Bai MD, Abstract Co-Author: Nothing to Disclose

Gregory Kicska MD, PhD, Abstract Co-Author: Nothing to Disclose

Jitesh Ahuja MD, MBBS, Abstract Co-Author: Nothing to Disclose

Sudhakar N. Pipavath MD, Abstract Co-Author: Nothing to Disclose

J. David Godwin MD, Abstract Co-Author: Shareholder, Cardiac Insight

1. Introduce a unique algorithm to approach imaging findings of lung disease. 2. This unique algorithm would:    A. Identify imaging findings.    B. Make an anatomic or morphologic diagnosis using the identified findings.    C. Use specific imaging signs or clues, if present, to predict etiology.    D. Use Clinical findings and clinical signs or available additional clinical tools or clues to make a specific etiologic diagnosis. 3. Demonstrate the interplay of the various components of the algorithm using a Venn diagram.  

1. How does the algorithm work? -Identify imaging findings -Make a morphologic or anatomic diagnosis based on the representative imaging findings -Identify radiologic signs or clues when present -Identify clinical findings and signs -Make an etiologic diagnosis -Display the components using a Venn diagram to understand their interplay 2. Demonstrate how this algorithm works using various examples of lung disease. 3. Quiz and interactive self-test using this algorithm with the provided examples.  

http://abstract.rsna.org/uploads/2014/14010059/14010059_vfwb.pdf

Parsian, S, Bai, X, Kicska, G, Ahuja, J, Pipavath, S, Godwin, J, Clinical Decision Making in Radiology- An Algorithmic Approach to Diagnose Lung Disease and Demonstrate its Function Using Venn Diagrams.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14010059.html