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Accurate Assessment of LV Function using Automated Border Detection Algorithm

This study by Grune et al. compares LV functional analysis completed using a novel automated 2D-border detection algorithm (referred to as Auto2DE) versus conventional manual 2D echo assessment (2DE).

Article Summary:
• 2D echo analysis based on traditional monoplane Simpson’s method of discs is often the method of choice for evaluating LV function
• Manual tracing of endocardial borders can be time consuming and varies with operator experience
• Aim to test accuracy of Auto2DE compared to standard manual 2D echo analysis
• Evaluated four mouse models and four rat models with different cardiac pathologies
• Seven functional cardiac parameters were investigated, including: ejection fraction (EF), end diastolic volume (EDV) and end systolic volume (ESV), etc.
• Auto2DE was faster than conventional 2DE analysis (6.5–7.5 fold faster than the fastest observer, and 18–46 fold faster than the slowest observer) and independent of operator experience levels
• The accuracy of Auto2DE-assessed data was dependent on cine loop quality
• Excellent agreement between Auto2DE and 2DE was observed in cine loops with adequate quality
• Auto2DE sensitively diagnosed severe cardiac pathologies with pronounced alterations of LV function
•Usefulness for the analysis of early, subclinical cardiac damage is still limited

Conclusion: Novel automated 2D echo analysis software can be a useful tool for rapid assessment of LV function with minimal intra- and interobserver variability.

1. Grune, J. et al. Accurate assessment of LV function using the first automated 2D-border detection algorithm for small animals - evaluation and application to models of LV dysfunction. Cardiovasc. Ultrasound 17, 7 (2019).


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