Imaging of Brain Tumor Connectivity

Area of Science:

• Neuro-oncology
• Radiology
• Network Neuroscience

Background:

• Glioblastomas have a poor prognosis, with tumor integration and network formation driving progression and therapy resistance.
• Innovative imaging is needed to view brain tumors as systemic diseases within the central nervous system (CNS) network.
• Glioma cells form networks beyond visible boundaries, connect with neurons, and utilize neural signals for growth, impacting tumor behavior.

Purpose of the Study:

• To review current imaging techniques for analyzing functional and structural connectivity in brain tumors.
• To highlight the role of resting-state functional MRI (rs-fMRI) and diffusion tensor imaging (DTI) in understanding tumor-network interactions.
• To explore how imaging of network alterations can improve patient management and therapeutic strategies.

Main Methods:

• Utilizing resting-state functional MRI (rs-fMRI) to detect and quantify functional connectivity changes in glioma patients.
• Employing diffusion tensor imaging (DTI) for quantitative structural connectivity analysis and tractography.
• Correlating imaging findings with tumor biology, prognosis, and cognitive performance.

Main Results:

• Functional connectivity changes detected by fMRI correlate with glioma biology, prognosis, and cognitive function.
• Rs-fMRI parameters show potential for prognostic assessment and guiding new therapeutic strategies.
• DTI-based tractography provides crucial spatial information for neurosurgical planning by mapping tumor-white matter tract relationships.

Conclusions:

• Imaging analysis of tumor-associated network alterations offers deeper insights into brain tumor biology.
• Connectivity-based imaging methods like rs-fMRI and DTI are vital for enhancing preoperative planning, prognostic assessment, and personalized treatment.
• These imaging markers optimize patient management and support the development of novel network-targeted therapeutic approaches for brain tumors.