Foramen magnum meningiomas: surgical results and risks predicting poor outcomes based on a modified classification

Da Li1,2,3,4, Zhen Wu1,2,3,4, Cong Ren1,2,3,4

  • 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.

Insights

A modified classification for foramen magnum meningioma (FMM) effectively predicts surgical outcomes and recurrence. Type C2 FMMs and non-total resection are linked to poorer prognosis, emphasizing individualized management strategies.

Area of Science:

  • Neurosurgery
  • Oncology
  • Neurology

Background:

  • Foramen magnum meningiomas (FMMs) pose surgical challenges due to their location.
  • Accurate classification is crucial for predicting surgical outcomes and recurrence.
  • Previous classifications may not fully capture the complexity of FMMs.

Purpose of the Study:

  • To evaluate neurological function and progression/recurrence (P/R) outcomes of FMMs using a modified classification system.
  • To identify predictors of poor surgical outcomes and tumor P/R.

Main Methods:

  • Retrospective analysis of 185 consecutive patients with FMMs.
  • Classification into four types (A, B, C1, C2) based on the relationship with the vertebral artery (VA).
  • Multivariate Cox and logistic regression analyses to identify adverse predictors for P/R and poor outcome.

Main Results:

  • Type C2 FMMs were associated with larger size, ventrolateral location, VA encasement, lower gross-total resection (GTR) rates, longer surgical duration, higher morbidity, and increased P/R rates.
  • Independent predictors for tumor P/R included Type C2 classification, non-total resection, and pathological mitosis.
  • Independent risk factors for poor outcome (Karnofsky Performance Scale [KPS] score < 80) were non-total resection and pathological mitosis.

Conclusions:

  • The modified classification system effectively predicts surgical outcomes and P/R for FMMs.
  • Type C2 FMMs, non-total resection, and pathological mitosis are significant adverse predictors.
  • Individualized management strategies based on preoperative imaging and neurological status are essential for improving long-term outcomes.

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