Visual estimation of ejection fraction by two-dimensional echocardiography: the learning curve

Area of Science:

• Cardiology
• Medical Imaging
• Diagnostic Techniques

Background:

• Ejection fraction (EF) is a critical measure of cardiac function.
• Accurate EF assessment is vital for patient management and treatment decisions.
• Visual estimation via echocardiography offers a rapid alternative to quantitative methods.

Purpose of the Study:

• To determine the learning curve for visual estimation of ejection fraction (EF) using echocardiography.
• To assess the impact of immediate feedback on learning the visual estimation of EF.
• To compare the accuracy of visual EF estimation with radionuclide ventriculography (RVG) over time.

Main Methods:

• Sixty patients with concurrent echocardiography and RVG were analyzed.
• Five standard echocardiographic views were reviewed by three observers with varying experience levels.
• Studies were divided into three groups of 20 to track learning progression.
• Observers received immediate feedback on RVG-derived EF values after each estimation.

Main Results:

• Initial correlation between visual EF estimation and RVG was marginal.
• Significant improvement in correlation was observed with subsequent study groups.
• Correlation plateaued between the second and third study groups, indicating learning stabilization.
• An experienced echocardiographer demonstrated better initial performance.

Conclusions:

• Visual estimation of EF by echocardiography is a learnable skill.
• A learning curve of approximately 20 studies is suggested for achieving proficiency.
• Immediate feedback is a crucial factor in accelerating the learning process for EF visual estimation.