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Published in: The International Journal of Cardiovascular Imaging 11/2018

01-11-2018 | Original Paper

Crowdsourcing consensus: proposal of a novel method for assessing accuracy in echocardiography interpretation

Authors: Stephanie Minter, Alicia Armour, Amanda Tinnemore, Karen Strub, Anna Lisa Crowley, Gerald S. Bloomfield, John H. Alexander, Pamela S. Douglas, Joseph A. Kisslo, Eric J. Velazquez, Zainab Samad

Published in: The International Journal of Cardiovascular Imaging | Issue 11/2018

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Abstract

Quality in stress echocardiography interpretation is often gauged against coronary angiography (CA) data but anatomic obstructive coronary disease on CA is an imperfect gold standard for a stress induced wall motion abnormality. We examined the utility of crowd-sourcing a “majority-vote” consensus as an alternative ‘gold standard’ against which to evaluate the accuracy of an individual echocardiographer’s interpretation of stress echocardiography studies. Participants independently interpreted baseline and post-exercise stress echocardiographic images of cases that had undergone follow up CA within 3 months of the stress echo in two surveys, 2 years apart. We examined the agreement of consensus on survey (survey participant response (> 60%) for one decision) with the stress echocardiography clinical read and with CA results. In the first survey, 29 participants reviewed and independently interpreted 14 stress echo cases. Consensus was reached in all 14 cases. There was good agreement between clinical and consensus (kappa = 0.57), survey participant response and consensus (kappa = 0.68) and consensus and CA results (kappa = 0.40). In the validation survey, the agreement between clinical reads and consensus (kappa = 0.75) and survey participant response and consensus (kappa = 0.81) remained excellent. Independent consensus is achievable and offers a fair comparison for stress echocardiographic interpretation. Future validation work, in other laboratories, and against hard outcomes, is necessary to test the feasibility and effectiveness of this approach.
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Metadata
Title
Crowdsourcing consensus: proposal of a novel method for assessing accuracy in echocardiography interpretation
Authors
Stephanie Minter
Alicia Armour
Amanda Tinnemore
Karen Strub
Anna Lisa Crowley
Gerald S. Bloomfield
John H. Alexander
Pamela S. Douglas
Joseph A. Kisslo
Eric J. Velazquez
Zainab Samad
Publication date
01-11-2018
Publisher
Springer Netherlands
Published in
The International Journal of Cardiovascular Imaging / Issue 11/2018
Print ISSN: 1569-5794
Electronic ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-018-1389-y

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