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Updated: Feb 6, 2026

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
Published on: October 28, 2020
Decision support for assessment of left ventricular diastolic function
1Department of Cardiothoracic and Vascular Surgery, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Insights
Developing an automated decision support tool for left ventricular diastolic function (LVDF) echocardiography improved accuracy and reduced variability. This algorithm-based approach aids standardized LVDF evaluation, overcoming challenges in manual assessments.
Area of Science:
- Cardiology
- Medical Imaging
- Clinical Decision Support
Background:
- Echocardiographic assessment of left ventricular diastolic function (LVDF) is crucial but challenging.
- Significant inter-rater variability exists in manual LVDF evaluations.
- Existing methods often lack standardization and struggle with age-related variations.
Purpose of the Study:
- To develop and evaluate a guidelines-based automated decision support tool for LVDF assessment.
- To enhance the accuracy and reduce variability in echocardiographic LVDF evaluations.
- To integrate age-adjusted normal ranges for improved diagnostic precision.
Main Methods:
- An algorithm was developed for hierarchical LVDF analysis based on current guidelines.
- Age-adjusted normal ranges were compiled from published studies.
- Twenty echocardiographic examinations were analyzed by four experienced physicians, both manually and with the automated tool.
Main Results:
- Manual assessments showed moderate to fair inter-rater agreement.
- Both manual methods demonstrated poor agreement with the automated algorithm.
- The automated tool, incorporating age dependency, showed improved accuracy and reduced variability.
Conclusions:
- The automated decision support tool, based on current guidelines and age dependency, enhances LVDF evaluation accuracy.
- The tool addresses the significant inter-rater variation observed in manual echocardiographic assessments.
- This approach promotes a standardized and more reliable method for assessing diastolic left ventricular function.
Abstract:
Echocardiographic assessment of the left ventricular diastolic function (LVDF), an integrated part of evaluation of left ventricular function is still a delicate task and is performed with substantial inter-rater variability. Therefore, we aimed to create and evaluate a guidelines-based automated decision support. An algorithm was created for a hierarchical analysis of LVDF based on variables as recommended by the latest guidelines. Age-adjusted normal ranges were pooled from previously published studies into an integrated reference table. For proof-of-concept, 20 echocardiographic examinations were analyzed offline by four experienced physicians with more than 10 years of echocardiographic experience. The first assessments were to be performed as they would be in the clinical practice. Six months later, the assessments were repeated based on the 2017 ASE/EACVI guidelines. The overall inter-rater agreement for the first clinical assessments was moderate, while the guidelines-based assessments had only fair inter-rater agreement. Both kinds of manual assessment had poor agreement with the standardized automated assessment algorithm of LVDF. In conclusion, the presented automated decision support for evaluation of diastolic LV function by Doppler echocardiography is mainly based on current guidelines involving multiple parameters in combination. Incorporating age dependency aspects in our program (available for use at https://liu.se/en/research/left-ventricular-diastolic-function-decision-support) enhances the accuracy of the evaluation and reduces variability in evaluation of LVDF. The large inter-rater variation in classification in this study also underscores the usefulness of tools to support a standardized evaluation.
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