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Sub-diffuse optical biomarkers characterize localized microstructure and function of cortex and malignant tumor.

Jaime J Bravo, Keith D Paulsen, David W Roberts

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    This study introduces a new optical model to accurately measure tissue biomarkers like blood volume and microstructure. This method aids in distinguishing between normal and cancerous brain tissue during surgery.

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    Area of Science:

    • Biomedical Optics
    • Biophotonics
    • Medical Imaging

    Background:

    • Accurate optical property measurements are crucial for in vivo tissue analysis.
    • Existing methods can be limited by background optical properties and complex light transport.
    • Endogenous biomarkers offer non-invasive insights into tissue physiology and pathology.

    Purpose of the Study:

    • To develop and validate a sub-diffusive light transport model for analyzing fiber-optic reflectance spectra.
    • To accurately recover endogenous tissue biomarkers and correct fluorescence emissions.
    • To differentiate between normal and malignant brain tissue using optical properties.

    Main Methods:

    • Utilized a sub-diffusive light transport model with fiber-optic reflectance spectroscopy.
    • Validated the model using tissue-simulating phantoms to measure scattering and blood volume.
    • Acquired in vivo optical data during clinical neurosurgeries.

    Main Results:

    • Accurate recovery of reduced scattering coefficient (error 10%), blood volume fraction (error 7%), and anisotropic scattering metric γ (error 11%).
    • Demonstrated sensitivity of γ to submillimeter tissue ultrastructure.
    • Characterized differences in microstructure, perfusion, and metabolism between normal cortex and malignant tumor in vivo.

    Conclusions:

    • The sub-diffusive model provides accurate quantification of key optical properties and biomarkers.
    • This technique enables differentiation of tissue types based on microstructure, perfusion, and metabolism.
    • The model has significant potential for real-time surgical guidance and disease diagnosis.