Literature DB >> 30128849

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

Stephanie Minter1, Alicia Armour1, Amanda Tinnemore1, Karen Strub1, Anna Lisa Crowley2,1,3, Gerald S Bloomfield2,1,3, John H Alexander2,1, Pamela S Douglas2,1,3, Joseph A Kisslo2,1, Eric J Velazquez2,1,3, Zainab Samad4,5,6.   

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.

Entities:  

Keywords:  Cardiac catheterization; Continuous quality improvement; Echocardiography; Image acquisition; Stress echocardiography

Mesh:

Year:  2018        PMID: 30128849     DOI: 10.1007/s10554-018-1389-y

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  9 in total

1.  Improvement in the assessment of diastolic function in a clinical echocardiography laboratory following implementation of a quality improvement initiative.

Authors:  Thomas V Johnson; John D Symanski; Sanjay R Patel; Geoffrey A Rose
Journal:  J Am Soc Echocardiogr       Date:  2011-09-29       Impact factor: 5.251

2.  American Society of Echocardiography recommendations for quality echocardiography laboratory operations.

Authors:  Michael H Picard; David Adams; S Michelle Bierig; John M Dent; Pamela S Douglas; Linda D Gillam; Andrew M Keller; David J Malenka; Frederick A Masoudi; Marti McCulloch; Patricia A Pellikka; Priscilla J Peters; Raymond F Stainback; G Monet Strachan; William A Zoghbi
Journal:  J Am Soc Echocardiogr       Date:  2011-01       Impact factor: 5.251

3.  Can a teaching intervention reduce interobserver variability in LVEF assessment: a quality control exercise in the echocardiography lab.

Authors:  Amer M Johri; Michael H Picard; John Newell; Jane E Marshall; Mary Etta E King; Judy Hung
Journal:  JACC Cardiovasc Imaging       Date:  2011-08

Review 4.  Role of real time 3D echocardiography in evaluating the left ventricle.

Authors:  Mark J Monaghan
Journal:  Heart       Date:  2006-01       Impact factor: 5.994

5.  American Society of Echocardiography recommendations for performance, interpretation, and application of stress echocardiography.

Authors:  Patricia A Pellikka; Sherif F Nagueh; Abdou A Elhendy; Cathryn A Kuehl; Stephen G Sawada
Journal:  J Am Soc Echocardiogr       Date:  2007-09       Impact factor: 5.251

6.  Achieving Quality in Cardiovascular Imaging II: proceedings from the Second American College of Cardiology -- Duke University Medical Center Think Tank on Quality in Cardiovascular Imaging.

Authors:  Pamela S Douglas; Jersey Chen; Linda Gillam; Robert Hendel; W Gregory Hundley; Frederick Masoudi; Manesh R Patel; Eric Peterson
Journal:  JACC Cardiovasc Imaging       Date:  2009-02

7.  Quality Improvement Implementation: Improving Reproducibility in the Echocardiography Laboratory.

Authors:  Melissa A Daubert; Eric Yow; Huiman X Barnhart; Dawn Rabineau; Anna Lisa Crowley; Pamela S Douglas
Journal:  J Am Soc Echocardiogr       Date:  2015-04-11       Impact factor: 5.251

8.  ACC/AHA/ASE/ASNC/HRS/IAC/Mended Hearts/NASCI/RSNA/SAIP/SCAI/SCCT/SCMR/SNMMI 2014 health policy statement on use of noninvasive cardiovascular imaging: a report of the American College of Cardiology Clinical Quality Committee.

Authors:  Daniel B Mark; Jeffrey L Anderson; Jeffrey A Brinker; James A Brophy; Donald E Casey; Russell R Cross; Daniel Edmundowicz; Rory Hachamovitch; Mark A Hlatky; Jill E Jacobs; Suzette Jaskie; Kevin G Kett; Vinay Malhotra; Frederick A Masoudi; Michael V McConnell; Geoffrey D Rubin; Leslee J Shaw; M Eugene Sherman; Steve Stanko; R Parker Ward
Journal:  J Am Coll Cardiol       Date:  2014-02-25       Impact factor: 24.094

9.  Implementing a Continuous Quality Improvement Program in a High-Volume Clinical Echocardiography Laboratory: Improving Care for Patients With Aortic Stenosis.

Authors:  Zainab Samad; Stephanie Minter; Alicia Armour; Amanda Tinnemore; Joseph A Sivak; Brenda Sedberry; Karen Strub; Seanna M Horan; J Kevin Harrison; Joseph Kisslo; Pamela S Douglas; Eric J Velazquez
Journal:  Circ Cardiovasc Imaging       Date:  2016-03       Impact factor: 7.792

  9 in total
  1 in total

Review 1.  Applications of artificial intelligence in cardiovascular imaging.

Authors:  Maxime Sermesant; Hervé Delingette; Hubert Cochet; Pierre Jaïs; Nicholas Ayache
Journal:  Nat Rev Cardiol       Date:  2021-03-12       Impact factor: 32.419

  1 in total

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