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Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

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Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
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Related Experiment Video

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Doppler Optical Coherence Tomography of Retinal Circulation
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Estimating Pulsatile Blood Flow Parameters from Digital Subtraction Angiography.

Ko-Kung Chen, Chung-Jung Lin, Wei-Fa Chu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study introduces a physical model to analyze how pulsatile blood flow impacts contrast medium dispersion in vessels. Researchers demonstrated the feasibility of calculating pulsatile flow parameters from routine angiographic data.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Fluid Dynamics

    Background:

    • Digital subtraction angiography (DSA) is the standard for diagnosing vascular diseases.
    • Estimating blood flow velocity from DSA data is crucial for clinical assessment.
    • Existing methods primarily focus on mean flow velocity, neglecting pulsatile dynamics.

    Purpose of the Study:

    • To present a physical model explaining pulsatile flow's effect on contrast medium dispersion.
    • To demonstrate a method for computing pulsatile flow parameters from routine angiographic data.
    • To highlight the potential for real-time diagnostic and therapeutic monitoring during interventions.

    Main Methods:

    • Developed a physical model of pulsatile flow and contrast dispersion.
    • Applied empirical mode decomposition to analyze angiographic data.
    • Utilized data from 4 patients undergoing routine interventional angiography.

    Main Results:

    • The physical model successfully demonstrated the influence of pulsatile flow on contrast dispersion.
    • Empirical mode decomposition enabled the computation of pulsatile flow parameters.
    • Feasibility of extracting pulsatile flow information from standard angiographic acquisitions was confirmed.

    Conclusions:

    • This work presents the first physical model and method for estimating pulsatile flow parameters from routine angiographic acquisitions.
    • The developed method has potential for real-time diagnostic and therapeutic monitoring in interventional procedures.
    • Further research can refine this approach for enhanced clinical application in vascular disease management.