Clinicopathological Study of Extra-Axial Small Round Cell Tumors of the Cranium.
Cranium
PNET
immunohistochemistry
small round cell tumors
Journal
Neurology India
ISSN: 1998-4022
Titre abrégé: Neurol India
Pays: India
ID NLM: 0042005
Informations de publication
Date de publication:
Historique:
entrez:
28
10
2020
pubmed:
29
10
2020
medline:
22
6
2021
Statut:
ppublish
Résumé
The cranium is a host to a variety of neoplasms and includes small round cell tumors (SRCTs) as an important malignant subset. Although SRCTs are histomorphologically similar, they are histogenetically diverse comprising of malignancies of epithelial, hematolymphoid, neuroectodermal, and mesenchymal origin. The study aimed to review the clinical and pathological profile of cranial SRCTs. Study is a retrospective review (clinical, imaging, and histopathology) of cranial (extra-axial) SRCTs diagnosed on histology (period: 3.5 years). Study included 126 cases constituting 1.5% of all intracranial neoplasms and age ranging from 11 months to 82 years (mean: 34.3 years; M:F = 1.46:1). Peripheral primitive neuroectodermal tumors (pPNET-8.2%) was the commonest neoplasm followed by plasmacytoma (14.2%), poorly differentiated carcinomas (13.5%), lymphomas (9.5%), and sarcomas (8.7%). Rare tumors included glioma (undifferentiated) deposits, germ cell tumors, melanoma, neuroendocrine neoplasms, and embryonal tumor. Children constituted one-third of the total with PNETs, embryonal tumors, and round cell sarcomas being the common neoplasms. Elderly patients constituted 14% with plasmacytomas and epithelial neoplasms being common. Three percent of the tumors remained unclassified. Clinical symptomology was location dependent, headache being the commonest followed by visual symptoms. Radiopathological discordance was high (60%). SRCTs are unusual tumors with a wide spectrum of histogenesis, biology and clinical presentation. Their rarity in cranium, atypical localization, overlapping clinical, and imaging features pose significant difficulty for clinicians, radiologists, and pathologists. A combined algorithmic analysis of the clinical, radiological, and histolopathological findings, supplemented with immunohistochemistry can aid in specific diagnosis which is crucial for optimal management.
Identifiants
pubmed: 33109871
pii: ni_2020_68_5_1175_299158
doi: 10.4103/0028-3886.299158
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1175-1182Déclaration de conflit d'intérêts
None