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Related Experiment Videos

Automated Left Ventricular Endocardial Border Detection Using Acoustic Quantification in Children.

Azaria J.J.T. Rein1, Megan Tracey, Steven D. Colan

  • 1Division of Pediatric Cardiology, Duke University Medical Center, Box 3090, Durham, NC 27710. sande021@mc.duke.edu

Echocardiography (Mount Kisco, N.Y.)
|February 15, 2001
PubMed
Summary

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Automated border detection using acoustic quantification reliably estimates left ventricular size and function in children. This method shows good agreement for area and fair agreement for function measurements, proving acceptable for pediatric cardiac assessment.

Area of Science:

  • Pediatric cardiology
  • Echocardiography
  • Cardiac imaging analysis

Background:

  • Acoustic quantification (AQ) is a promising method for estimating left ventricular (LV) size and function in adults.
  • Smaller ventricular dimensions in children may amplify measurement errors in AQ.
  • Reliability and accuracy of AQ for pediatric LV assessment require validation.

Purpose of the Study:

  • To assess the reliability and accuracy of automated border detection via AQ in pediatric patients.
  • To compare AQ measurements with traditional off-line manual digitization for LV cross-sectional area and fractional area change.
  • To evaluate the impact of papillary muscle inclusion/exclusion on measurement accuracy.

Main Methods:

  • Comparison of on-line AQ measurements with off-line manual digitization of LV endocardial borders.

Related Experiment Videos

  • Assessment of cross-sectional area and fractional area change.
  • Analysis performed with and without papillary muscles included in the LV cavity during off-line analysis.

    • Main Results:

    • High correlation between AQ and manual digitization for LV area and fractional area change, regardless of papillary muscle inclusion.
    • Closer regression slope to unity when papillary muscles were excluded during off-line manual analysis.
    • Good agreement for area measurements and fair agreement for function measurements between the two methods.
    • Area measurement differences were proportional to ventricular size.

    Conclusions:

    • Automated border detection using acoustic quantification is an acceptable method for estimating LV cross-sectional area and fractional area change in children.
    • The accuracy of AQ is influenced by ventricular size, with larger ventricles showing greater differences compared to manual methods.
    • Excluding papillary muscles during off-line analysis improves agreement with AQ measurements.