Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas

Area of Science:

• Neuro-oncology
• Medical Imaging
• Radiology

Background:

• Glioma management relies on imaging for diagnosis, surgical planning, and monitoring treatment response.
• Traditional MRI sequences (T1 post-contrast, T2-weighted) are foundational but have limitations in detailed characterization.
• Distinguishing tumor recurrence from pseudoprogression remains a clinical challenge.

Purpose of the Study:

• To review the role of advanced imaging modalities in glioma patient management.
• To highlight the utility of new techniques in pre-operative, post-operative, and surveillance settings.
• To discuss the potential of radiomics for personalized glioma care.

Main Methods:

• Review of advanced Magnetic Resonance (MR) imaging sequences: perfusion, diffusion, and susceptibility weighted imaging.
• Inclusion of Positron Emission Tomography (PET) scans as a complementary diagnostic tool.
• Exploration of radiomics and machine learning for quantitative image analysis.

Main Results:

• Advanced MR sequences and PET scans provide detailed tumor characterization, aiding clinical decision-making.
• These techniques facilitate non-invasive differentiation between tumor recurrence and pseudoprogression.
• Imaging advancements enhance intraoperative guidance, contributing to safer surgical resections.

Conclusions:

• Advanced imaging modalities are crucial for comprehensive glioma management across all stages.
• Radiomics presents a promising avenue for quantitative, personalized interpretation of glioma imaging data.
• Future applications of radiomics aim to optimize patient care and treatment strategies for gliomas.