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[Comparative echocardiographic volume determinations using a dynamic heart model].

K Berwing, M Kindler, M Wöllenstein

    Zeitschrift Fur Kardiologie
    |May 1, 1985
    PubMed
    Summary
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    Comparing echocardiographic models using a cardiac phantom reveals the Simpson 7-slice method offers the best accuracy for calculating ejection fraction (EF) and volumes in dynamic settings. Other methods show reduced correlation, especially for moving cardiac structures.

    Area of Science:

    • Cardiovascular Imaging
    • Echocardiography
    • Medical Physics

    Background:

    • Accurate assessment of cardiac volumes and function is crucial in echocardiography.
    • Various mathematical models exist for calculating these parameters, but their accuracy in dynamic conditions is debated.

    Purpose of the Study:

    • To compare the accuracy of different echocardiographic mathematical models for assessing cardiac volumes and function.
    • To evaluate model performance using both static and dynamic cardiac phantoms.

    Main Methods:

    • Four echocardiographic models were tested: Simpson's 7-slice, area-length, Simpson's 2-slice, and Teichholz.
    • A dynamic and a static cardiac phantom were used, simulating various end-diastolic volumes (EDV), end-systolic volumes (ESV), stroke volumes (SV), and ejection fractions (EF).

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  • Correlation coefficients (r) were calculated to compare model-derived values against known phantom values.
  • Main Results:

    • In static models, most methods showed high accuracy (r=0.97-0.98), except Teichholz (r=0.89).
    • In dynamic models, Simpson's 7-slice method demonstrated the highest correlation for all parameters (EDV: r=0.93, ESV: r=0.94, EF: r=0.87, SV: r=0.81).
    • The biplane area-length and Simpson's 2-slice methods showed comparable results in static models, while Teichholz significantly underestimated EF and SV in dynamic conditions.

    Conclusions:

    • The Simpson's 7-slice method is the most accurate for calculating cardiac volumes and ejection fraction using echocardiography in dynamic simulations.
    • Accuracy of echocardiographic models decreases with dynamic cardiac motion compared to static volumes.
    • The Teichholz method shows significant limitations for dynamic EF and SV assessment.