Author + information
- Received May 7, 2018
- Revision received November 25, 2018
- Accepted November 29, 2018
- Published online June 3, 2019.
- Division of Cardiology, Peter Munk Cardiac Centre, Division of Cardiology and Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada
- ↵∗Address for correspondence:
Dr. Paaladinesh Thavendiranathan, Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, 4N-490, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada.
• Automated quantification is a potential avenue to improve accuracy and reproducibility of routine echocardiography measurements.
• Automation is possible for 2-/3-dimensional left ventricular ejection fraction measurements and valvular disease quantification.
• Automated quantification consistently shows time efficiency of analysis and improves reproducibility.
• Future studies need to assess intervendor agreement and performance in special patient populations.
Echocardiography remains the predominant modality for cardiac imaging. Recent technological advances have led to the availability of new echocardiographic techniques for more accurate quantification of volumes, function, myocardial mechanics, and valvular heart disease. However, in our opinion, the real-world clinical uptake of these techniques has been poor due to limited awareness and familiarity, associated time burden, and issues of variability. Automation represents a potential solution to these issues and has already made routine myocardial strain measurements and 2- and 3-dimensional left ventricular ejection fraction measurements a clinical reality. Further enhancements in automation and data in understudied populations are likely to assist in the uptake of these new quantitative echocardiographic techniques in routine clinical practice. This review discusses current automated quantification techniques in echocardiography and their limitations and describes how these techniques can be incorporated into echocardiography laboratories.
Dr. Thavendiranathan (147814) is supported by the Canadian Institutes of Health Research New Investigator Award. Dr. Nolan has reported that he has no relationships relevant to the contents of this paper to disclose.
- Received May 7, 2018.
- Revision received November 25, 2018.
- Accepted November 29, 2018.
- 2019 American College of Cardiology Foundation
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