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MRM Microcoil Performance Calibration and Usage Demonstrated on Medicago truncatula Roots at 22 T
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    Thermography aids early tumor detection by analyzing spatial thermal patterns. This non-invasive technique identifies significant temperature differences in nodules, facilitating earlier diagnosis of neoplasms.

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    Area of Science:

    • Medical Imaging
    • Biophysics
    • Oncology

    Background:

    • Thermography offers a non-invasive method for early tumor diagnosis.
    • Identifying suspicious nodules is crucial for timely medical evaluation.
    • Early detection of neoplasms can prevent metastasis and improve patient outcomes.

    Purpose of the Study:

    • To investigate semivariogram curves for analyzing spatial thermal behavior around nodules.
    • To capture thermal information surrounding potential tumor sites.
    • To assess the utility of thermography in differentiating tumorous and healthy tissues.

    Main Methods:

    • Utilized R-Studio software for data analysis.
    • Applied theoretical semivariogram models to thermal data.
    • Analyzed spatial patterns and thermal averages in both healthy and tumorous regions.

    Main Results:

    • Semivariogram analysis revealed Gaussian spatial behavior in both healthy and tumor areas.
    • Significant differences in thermal averages were observed between healthy and tumorous regions.
    • All evaluated tumors showed distinct thermal signatures compared to healthy tissue, irrespective of spatial model similarity.

    Conclusions:

    • Thermography, analyzed with semivariogram models, can effectively differentiate tumorous tissue from healthy tissue.
    • The technique aids in the early identification of nodules requiring further analysis.
    • This approach supports the non-invasive, early diagnosis of neoplasms, potentially reducing metastasis risk.