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Tumor size and elasticity estimation using Smartphone-based Compression-Induced scope.

C-H Won, Jesse Goldstein, Vira Oleksyuk

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed
    Summary
    This summary is machine-generated.

    A novel Smartphone-based Compression-Induced (SCI) Scope offers a noninvasive method for tumor identification. This system uses tactile pressure and smartphone imaging to assess tumor mechanical properties, aiding in diagnosis.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Oncology

    Background:

    • Accurate tumor identification is crucial for effective cancer treatment.
    • Current methods for assessing tumor mechanical properties can be invasive or complex.
    • There is a need for accessible, noninvasive diagnostic tools.

    Purpose of the Study:

    • To develop a simple, noninvasive system for identifying malignant tumors using tactile pressure.
    • To enable physicians to rapidly assess tumor mechanical properties via a smartphone platform.
    • To estimate tumor size and elasticity using pressure-induced images.

    Main Methods:

    • Development of the Smartphone-based Compression-Induced (SCI) Scope, utilizing an Apple iPhone 6.
    • Image acquisition through a waveguide, capturing pressure-induced deformation.
    • Wireless transmission of image data and force sensor values to a computer for analysis.
    • Estimation of tumor size and relative elastic modulus from processed data.

    Main Results:

    • The SCI Scope demonstrated a size estimation error of 2.31%.
    • The system achieved an estimated relative elastic modulus error of 23.9%.
    • The device provides a risk-free and accurate method for tumor mechanical property assessment.

    Conclusions:

    • The Smartphone-based Compression-Induced (SCI) Scope is a viable tool for noninvasive tumor mechanical property analysis.
    • This technology offers a convenient and accessible approach for physicians to aid in tumor diagnosis.
    • Further development could enhance the accuracy and expand the applications of this smartphone-based diagnostic system.