Meeting Banner
Abstract #3507

Identifying Optimal Indicators of Severe Aortic Regurgitation from 4D Flow MRI with Fully-Automated Hemodynamic Analysis

Ethan Johnson1, Harris Avgousti1, Haben Berhane1, James D Thomas2, Bradley D Allen1, Michael Markl1, and Vinesh Appadurai3
1Northwestern University, Chicago, IL, United States, 2Bluhm Cardiovascular Institute, Chicago, IL, United States, 3The University of Queensland, Queensland, Australia

Synopsis

Keywords: Flow, Cardiovascular, Flow, Aortic Regurgitation

Motivation: Current standards for quantitative evaluation of chronic aortic regurgitation (AR) are confounded by variability in measurement/analysis techniques. Establishing automated assessment methods for AR would help standardize clinical evaluation.

Goal(s): Thus study sought to identify hemodynamic quantifications indicative of AR severity using completely-automated analysis methods.

Approach: A fully-automated 4D flow analysis pipeline, with machine-learning networks replacing manual intervention, was applied to MRI from AR patients to quantify aortic flow. These quantifications were compared to clinical AR grades to evaluate their ability to classify severe vs. non-severe.

Results: Completely-automated reverse flow measurements in standardized descending aorta locations showed strong predictive performance for severe AR (area-under-curve>0.8).

Impact: This study offers a template for completely automated assessment of aortic regurgitation and shows reverse flow in the proximal descending aorta is most predictive of aortic regurgitation severity. This may support standards for clinical evaluation of aortic regurgitation by CMR.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords