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Flow determination using computed tomography: application to aortic dissection. Part II.

D F Guthaner, M Nassi, B Bradley

    Investigative Radiology
    |October 1, 1985
    PubMed
    Summary
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    Dynamic computed tomographic (CT) imaging can assess aortic dissection hemodynamics. Distinct curve parameters derived from CT flow determination differentiate true and false channels, potentially predicting outcomes.

    Area of Science:

    • Medical Imaging
    • Cardiovascular Research
    • Hemodynamics

    Background:

    • Aortic dissection imaging often focuses on anatomy, with less emphasis on hemodynamic significance.
    • Understanding flow dynamics within true and false lumens is crucial for predicting disease progression.

    Purpose of the Study:

    • To apply a validated computed tomographic (CT) method for flow determination in an experimental aortic dissection model.
    • To investigate the hemodynamic differences between true and false lumens in aortic dissection using dynamic CT.
    • To explore the potential of CT-derived parameters in differentiating dissection channels and predicting outcomes.

    Main Methods:

    • Surgically created aortic dissection in an experimental animal model.
    • Application of a validated computed tomographic (CT) method for flow determination.

    Related Experiment Videos

  • Analysis of flow patterns and curve parameters (peak CT number, variance, number of mixers) in true and false lumens.

    • Main Results:

    • High correlation (r = .82) between CT-derived flow estimates and cardiac output for true and false channels.
    • Distinct flow pattern curves observed between the true and false lumens.
    • Significant differences in peak CT number, variance, and number of mixers between the channels (P < .001).

    Conclusions:

    • Dynamic CT-based flow determination effectively differentiates true and false lumens in aortic dissection.
    • CT-derived curve parameters offer insights into hemodynamic significance and may predict long-term outcomes.
    • This method provides valuable information beyond anatomical imaging for managing aortic dissection.