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.

BMC Medical Imaging
|August 4, 2014
PubMed
Abstract

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.