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Updated: Apr 26, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
Published on: June 7, 2020
Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes
Rasheed Zakaria1, Kumar Das, Mark Radon
1Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK. rzakaria@nhs.net.
Background:
Diffusion-weighted MRI (DWI) has been used in neurosurgical practice mainly to distinguish cerebral metastases from abscess and glioma. There is evidence from other solid organ cancers and metastases that DWI may be used as a biomarker of prognosis and treatment response. We therefore investigated DWI characteristics of cerebral metastases and their peritumoral region recorded pre-operatively and related these to patient outcomes.
Methods:
Retrospective analysis of 76 cases operated upon at a single institution with DWI performed pre-operatively at 1.5T. Maps of apparent diffusion coefficient (ADC) were generated using standard protocols. Readings were taken from the tumor, peritumoral region and across the brain-tumor interface. Patient outcomes were overall survival and time to local recurrence.
Results:
A minimum ADC greater than 919.4 × 10(-6) mm(2)/s within a metastasis predicted longer overall survival regardless of adjuvant therapies. This was not simply due to differences between the types of primary cancer because the effect was observed even in a subgroup of 36 patients with the same primary, non-small cell lung cancer. The change in diffusion across the tumor border and into peritumoral brain was measured by the "ADC transition coefficient" or ATC and this was more strongly predictive than ADC readings alone. Metastases with a sharp change in diffusion across their border (ATC >0.279) showed shorter overall survival compared to those with a more diffuse edge. The ATC was the only imaging measurement which independently predicted overall survival in multivariate analysis (hazard ratio 0.54, 95% CI 0.3 - 0.97, p = 0.04).
Conclusions:
DWI demonstrates changes in the tumor, across the tumor edge and in the peritumoral region which may not be visible on conventional MRI and this may be useful in predicting patient outcomes for operated cerebral metastases.
Insights
Diffusion-weighted MRI (DWI) can predict patient outcomes for brain metastases. Higher apparent diffusion coefficient (ADC) values and a less abrupt ADC transition coefficient (ATC) indicate better survival, offering prognostic insights.
Area of Science:
- Neuroimaging
- Oncology
- Radiology
Background:
- Diffusion-weighted MRI (DWI) is used in neurosurgery to differentiate brain tumors.
- DWI shows potential as a prognostic biomarker for cancer treatment response.
Purpose of the Study:
- To investigate DWI characteristics of cerebral metastases and their peritumoral regions.
- To correlate pre-operative DWI findings with patient outcomes, including survival and recurrence.
Main Methods:
- Retrospective analysis of 76 patients with pre-operative DWI at 1.5T.
- Apparent diffusion coefficient (ADC) maps generated; readings taken from tumor, peritumoral region, and brain-tumor interface.
- Patient outcomes analyzed for overall survival and time to local recurrence.
Main Results:
- Minimum ADC > 919.4 × 10(-6) mm(2)/s predicted longer overall survival, even in non-small cell lung cancer.
- ADC Transition Coefficient (ATC) measured diffusion change across the tumor border.
- Sharp diffusion changes (ATC >0.279) correlated with shorter survival; ATC independently predicted overall survival.
Conclusions:
- DWI reveals changes in tumors, their edges, and peritumoral regions not visible on conventional MRI.
- These DWI metrics can aid in predicting outcomes for operated cerebral metastases.
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