Asian journal of neurosurgery
May 4, 2026 · via Europe PMC
Erdheim-Chester Disease Mimicking as Multiple Meningioma-A Case Report with Review of Literature.
Mantry KR, Rathore L, Agrawal G, Chandrakar N, Taori M, Sahu RK.
AI summary — for doctors, generated from the abstract only
Erdheim-Chester disease can present with multiple meningeal masses that mimic multiple meningiomas.
What was studied
A case report with literature review of a patient with multiple supra- and infratentorial enhancing meningeal lesions that proved to be Erdheim-Chester disease (ECD).
Key findings
- The mass causing mass effect was excised and histopathology showed histiocytosis
- Multisystemic evaluation and molecular studies confirmed ECD
- The authors note only six previous cases with meningeal involvement and started the patient on systemic vemurafenib
Clinical relevance
Clinicians should consider ECD when multiple meningeal masses look atypical, as tissue and molecular work-up changes treatment.
Who should care
Limitations
Single case; the abstract reports no follow-up or response to vemurafenib.
A rare mimic of meningioma that needs histology and systemic work-up.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Erdheim-Chester disease (ECD) is a rare non-Langerhans cell systemic histiocytosis affecting multiple organs, more commonly long bones, lungs, heart and less commonly brain. Meningeal involvement is extremely rare, and till now only six cases have been detected. Our patient presented with multiple supra- and infratentorial enhancing meningeal mass lesions disguised as multiple meningiomas. The mass lesion causing the mass effect was excised, and its histopathology showed histiocytosis. Multisystemic evaluation and molecular studies confirmed the diagnosis of ECD, and the patient was started on systemic vemurafenib.
DOI
10.1055/s-0046-1819609
PMID
42857873
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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