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  11. Imaging Role In Diagnosis, Prognosis, And Treatment Response Prediction Associated With High-grade Glioma

Imaging Role in Diagnosis, Prognosis, and Treatment Response Prediction Associated with High-grade Glioma

Maryam Heidari1, Parvaneh Shokrani1

  • 1Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Journal of Medical Signals and Sensors
|July 12, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Advanced imaging techniques offer new ways to diagnose and predict treatment response in malignant glioma. These methods correlate imaging findings with molecular markers, improving personalized patient care for this challenging brain tumor.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Biomarkers

Background:

  • Malignant glioma is a highly resistant brain tumor with significant heterogeneity.
  • This heterogeneity complicates patient outcomes despite similar treatment protocols.
  • Individualized diagnosis, prognosis, and treatment response prediction are crucial for effective glioma management.

Purpose of the Study:

  • To review potential imaging markers for individual diagnosis in malignant glioma.
  • To explore imaging markers for prognosis and treatment response prediction.
  • To correlate imaging findings with biological and clinical information in glioma patients.

Main Methods:

  • Literature search conducted on PubMed, Scopus, Google Scholar, and Web of Science until 2022.
  • Keywords included Biomarkers, Diagnosis, Prognosis, Imaging techniques, and malignant glioma.
Keywords:
Biomarkersdiagnosisimaging techniquesmalignant glioma

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  • Analysis of studies correlating imaging parameters with molecular and clinical data.

    • Main Results:

    • Key imaging parameters identified include ADC, FA, Ktrans, rCBV, CBF, ve, and lactate/lipid ratios.
    • Specific radiotracers like 18F-FET, 11C-MET, and 18F-FLT show diagnostic and prognostic value.
    • Correlations found between imaging parameters (e.g., rCBV, Ktrans) and molecular markers (e.g., VEGF, MGMT, IDH mutations).

    Conclusions:

    • Diffusion and perfusion imaging parameters (ADC, RD, FA, rCBV, Ktrans, vp) are valuable for glioma diagnosis, prognosis, and treatment prediction.
    • Significant correlations exist between molecular markers (VEGF, MGMT, IDH) and diffusion/perfusion imaging findings.
    • Imaging markers hold promise for personalized medicine in malignant glioma.
    prognosis