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A tidal lung simulation to quantify lung heterogeneity with the Inspired Sinewave Test.

Minh C Tran, Douglas C Crockett, Phi A Phan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
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    Summary

    A new lung simulation quantifies lung heterogeneity using the inspired sinewave test (IST). This non-invasive test accurately identifies lung conditions like emphysema and pulmonary embolism, showing promise for clinical use.

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    Area of Science:

    • Pulmonary Physiology
    • Medical Simulation
    • Diagnostic Tools

    Background:

    • Lung heterogeneity assessment is crucial for diagnosing respiratory diseases.
    • The inspired sinewave test (IST) is a promising non-invasive lung function test.
    • Current methods for quantifying lung heterogeneity from IST are limited.

    Purpose of the Study:

    • To develop and validate a lung simulation for quantifying lung heterogeneity using IST data.
    • To assess the accuracy and reliability of the IST in identifying lung heterogeneity.
    • To differentiate between simulated emphysema and pulmonary embolism using IST.

    Main Methods:

    • Development of a tidal lung simulation model.
    • Application of Morris method and linear regression for sensitivity analysis and validation.
    • Simulation of emphysema and pulmonary embolism conditions.
    • Validation using experimental data from injured and control pigs.

    Main Results:

    • The IST demonstrated high accuracy with ~5% underestimation.
    • Instability in tidal volume and expiratory flow coefficients were identified as sources of error.
    • Ratios of IST results (ELV60/ELV180, Qp60/Qp180) effectively identified lung heterogeneity.
    • Significant dissimilarity was found between simulated emphysema and pulmonary embolism (p < 0.0001).
    • Injured pigs showed significantly lower ELV60/ELV180 ratios compared to controls (0.39 vs 0.58, p < 0.0001).

    Conclusions:

    • The developed lung simulation accurately quantifies lung heterogeneity from IST results.
    • The IST is a reliable tool for assessing lung heterogeneity and differentiating between respiratory conditions.
    • The findings support the clinical utility of the IST for improved respiratory diagnostics.