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Updated: Feb 17, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
Published on: June 7, 2020
T-Cell Densities in Brain Metastases Are Associated with Patient Survival Times and Diffusion Tensor MRI Changes
Rasheed Zakaria1,2, Angela Platt-Higgins2, Nitika Rathi3
1Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom. rzakaria@nhs.net.
Abstract:
Brain metastases are common and are usually detected by MRI. Diffusion tensor imaging (DTI) is a derivative MRI technique that can detect disruption of white matter tracts in the brain. We have matched preoperative DTI with image-guided sampling of the brain-tumor interface in 26 patients during resection of a brain metastasis and assessed mean diffusivity and fractional anisotropy (FA). The tissue samples were analyzed for vascularity, inflammatory cell infiltration, growth pattern, and tumor expression of proteins associated with growth or local invasion such as Ki67, S100A4, and MMP2, 9, and 13. A lower FA in the peritumoral region indicated more white matter tract disruption and independently predicted longer overall survival times (HR for death = 0.21; 95% confidence interval, 0.06-0.82; P = 0.024). Of all the biological markers studied, only increased density of CD3+ lymphocytes in the same region correlated with decreased FA (Mann-Whitney U, P = 0.037) as well as confounding completely the effect of FA on multivariate survival analyses. We conclude that the T-cell response to brain metastases is not a surrogate of local tumor invasion, primary cancer type, or aggressive phenotype and is associated with patient survival time regardless of these biological factors. Furthermore, it can be assayed by DTI, potentially offering a quick, noninvasive, clinically available method to detect an active immune microenvironment and, in principle, to measure susceptibility to immunotherapy.Significance: These findings show that white matter tract integrity is degraded in areas where T-cell infiltration is highest, providing a noninvasive method to identify immunologically active microenvironments in secondary brain tumors. Cancer Res; 78(3); 610-6. ©2017 AACR.
Insights
Diffusion tensor imaging (DTI) reveals white matter tract disruption near brain metastases. Lower fractional anisotropy (FA) independently predicts longer survival, correlating with T-cell infiltration, offering a noninvasive immune microenvironment assessment.
Area of Science:
- Neuroimaging
- Oncology
- Immunology
Background:
- Brain metastases are frequent and typically diagnosed via MRI.
- Diffusion tensor imaging (DTI) is an advanced MRI technique sensitive to white matter tract integrity.
- Understanding the brain-tumor interface is crucial for predicting patient outcomes.
Purpose of the Study:
- To investigate the relationship between white matter tract integrity, measured by DTI, and the biological characteristics of the brain-tumor interface.
- To determine if DTI metrics can predict survival in patients with brain metastases.
- To assess the correlation between T-cell infiltration and DTI parameters.
Main Methods:
- Preoperative DTI was performed on 26 patients undergoing brain metastasis resection.
- Image-guided sampling of the brain-tumor interface assessed mean diffusivity and fractional anisotropy (FA).
- Tissue samples were analyzed for vascularity, inflammatory cells (CD3+ lymphocytes), and tumor markers (Ki67, S100A4, MMPs).
Main Results:
- Lower FA in the peritumoral region indicated greater white matter tract disruption.
- Reduced FA independently predicted longer overall survival (HR=0.21, P=0.024).
- Increased CD3+ lymphocyte density correlated with decreased FA (P=0.037) and confounded FA's survival effect.
Conclusions:
- White matter tract integrity, assessed by DTI, is compromised by T-cell infiltration at the brain-tumor interface.
- DTI provides a noninvasive method to identify an active immune microenvironment in brain metastases.
- This approach may help assess immunotherapy susceptibility and patient prognosis.

