A Framework for MRI Characterization of Intracranial Metastatic Disease

Arian Lasocki1,2,3, Stefanie Catherine Thust4,5,6,7, Grant A McArthur2,8

  • 1Department of Cancer Imaging, Peter MacCallum Cancer Centre, Grattan St, Melbourne, Victoria 3000, Australia.

Insights

Intracranial metastases (IM) are common, yet understudied. This study proposes MRI criteria to help exclude leptomeningeal metastatic disease (LMD) in IM trials, improving patient classification and data reliability.

Area of Science:

  • Radiology
  • Oncology
  • Neurology

Background:

  • Intracranial metastases (IM) are more prevalent than primary brain tumors but are understudied.
  • Patients with IM are increasingly included in clinical trials, but those with suspected leptomeningeal metastatic disease (LMD) are often excluded due to poor prognosis.
  • Lack of standardized diagnostic guidance for LMD in IM trials leads to variability and misclassification.

Purpose of the Study:

  • To establish MRI-based criteria for classifying intracranial metastasis (IM) appearances concerning leptomeningeal metastatic disease (LMD) suspicion.
  • To provide guidance for excluding LMD in broader IM clinical trials.
  • To reduce variability and misclassification in diagnosing LMD within IM cohorts.

Main Methods:

  • Development of MRI-based criteria for categorizing IM findings related to LMD suspicion.
  • Categorization into three groups: imaging consistent with LMD, equivocal findings, and low suspicion for LMD.
  • Inclusion of patient examples to illustrate MRI findings and classification.

Main Results:

  • Proposed MRI criteria allow for classification of IM findings regarding LMD suspicion.
  • Categorization aids in determining the need for further evaluation (e.g., CSF analysis, spinal MRI) or exclusion of LMD.
  • Discussion of common pitfalls, mimics, and recommended management for equivocal findings.

Conclusions:

  • Standardized MRI criteria can improve the classification and exclusion of LMD in IM trials.
  • This approach addresses an unmet clinical need by enhancing diagnostic accuracy.
  • Facilitates more reliable assessment of intracranial treatment efficacy in patients with IM.