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Related Experiment Video

Updated: Sep 18, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Spatial Mapping of Glioblastoma Infiltration: Diffusion Tensor Imaging-Based Radiomics and Connectomics in Recurrence

Kevin Jang^1,2, Michael Back^1,2,3,4

¹Department of Radiation Oncology, Royal North Shore Hospital, Sydney, NSW 2065, Australia.

|June 26, 2025

Summary

This summary is machine-generated.

Advanced imaging like diffusion tensor imaging (DTI), radiomics, and connectomics can map brain white matter tracts to predict glioblastoma recurrence risk. These methods enable personalized neuro-oncology and tract-aware treatments for better outcomes.

Keywords:

diffusion tensor imaging glioblastoma infiltration recurrence

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Last Updated: Sep 18, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

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Published on: September 13, 2022

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Area of Science:

Neuro-oncology
Medical Imaging
Computational Neuroscience

Background:

Glioblastoma (GBM) relapse often follows white matter tracts, a pattern missed by conventional imaging.
Subclinical tumor infiltration necessitates advanced imaging biomarkers for precise quantification.
Current imaging struggles to capture the complex tumor-brain interactions driving GBM progression.

Purpose of the Study:

To review the biological basis and clinical uses of advanced imaging techniques in GBM.
To explore diffusion tensor imaging (DTI), radiomics, and connectomics for GBM analysis.
To discuss the integration of these imaging modalities into treatment planning.

Main Methods:

Diffusion tensor imaging (DTI) to map white matter architecture.
Radiomics to identify predictive signatures of recurrence.
Connectomics, informed by tractography, to analyze brain network alterations.
Review of landmark studies and multi-institutional data.

Main Results:

DTI, radiomics, and connectomics offer non-invasive methods to assess GBM infiltration and progression.
These techniques can predict recurrence risk and guide treatment strategies.
Integration with machine learning enhances radiotherapy and surgical planning.

Conclusions:

Advanced imaging modalities represent a paradigm shift in neuro-oncology.
Personalized, risk-adaptive, and tract-aware treatments can improve local control and neurocognitive function in GBM patients.
Future strategies will leverage these biomarkers for tailored GBM management.