Rare Intracranial Recurrent Meningioma with Unique Coexisting Atypical, Papillary and Lipomatous Component: Case

Niamathullah Sadiya1, Swatee Halbe2, Mitra Ghosh1

  • 1Department of Histopathology, Apollo Speciality Hospital, Vanagaram, Chennai, India.

World Neurosurgery
|October 15, 2019
PubMed
Abstract

Insights

This case report details a rare recurrent meningioma with aggressive features and mixed histopathology. Early identification of papillary components is crucial for predicting meningioma recurrence and aggressive behavior.

Area of Science:

  • Neuro-oncology
  • Pathology
  • Neurosurgery

Background:

  • Meningiomas are common central nervous system tumors with diverse morphologic variants.
  • Heterogeneous histopathology within a single lesion is typical of low-grade meningiomas but less common in recurrent or high-grade variants.

Observation:

  • A 75-year-old male presented with recurrent symptoms due to two dural-based, solid cystic enhancing lesions in the left frontal region.
  • Initial diagnosis was meningioma with aggressive biological behavior, but grading was deferred due to limited tissue and focal small cell formation.
  • Microscopy of the recurrent tumor revealed a hypercellular neoplasm with increased mitosis, pseudopapillary pattern, and lipomatous changes.

Findings:

  • The recurrent meningioma exhibited a rare combination of histopathological features, including papillary and lipomatous changes.
  • The presence of papillary features, even focally, was noted in the recurrent tumor.
  • The tumor demonstrated aggressive characteristics with increased mitosis and infiltration into adjacent brain parenchyma.

Implications:

  • This case highlights the potential for phenotypic transformation in primary meningothelial cells, leading to complex recurrent meningiomas.
  • Quantifying papillary features in meningioma diagnosis is critical due to their association with increased recurrence risk and aggressive behavior.
  • Accurate histopathological grading and recognition of specific features like papillary components are essential for predicting meningioma prognosis and guiding treatment strategies.

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