Diagnostic Accuracy of Cytology Smear and Frozen Section in Glioma


Journal

Asian Pacific journal of cancer prevention : APJCP
ISSN: 2476-762X
Titre abrégé: Asian Pac J Cancer Prev
Pays: Thailand
ID NLM: 101130625

Informations de publication

Date de publication:
26 Feb 2019
Historique:
entrez: 27 2 2019
pubmed: 26 2 2019
medline: 10 7 2019
Statut: epublish

Résumé

Glioma is the commonest primary intracranial tumour and it has been the most predominant tumour in many studies. It accounts for 24.7% of all primary brain tumour and 74.6% of malignant brain tumour. Intraoperative diagnosis plays a crucial role in determining the patient management. Frozen section has been the established technique in providing rapid and accurate intraoperative diagnosis. However due to some disadvantages like ice crystal artefact, high expenditure and requirement of skilled technician, there is increase usage of cytology smear either replacing or supplementing frozen section technique. The aim of this review is to determine the diagnostic accuracy of cytology smear and frozen section in glioma and to see whether there is significant difference between those techniques. The overall diagnostic accuracy for frozen section in glioma ranging from 78.4% to 95% while for cytology smear, the diagnostic accuracy ranging from 50% to 100%. Based on certain literatures, no statistically difference was observed in diagnostic accuracy of cytology smear and frozen section. Thus, cytology smear provides an alternative method in establishing intraoperative diagnosis. Both cytology smear and frozen section are complimentary to each other. It is recommended to use both techniques to improve the diagnostic accuracy in addition with adequate knowledge, clinical history, neuroimaging and intraoperative findings.

Identifiants

pubmed: 30803189
doi: 10.31557/APJCP.2019.20.2.321
pmc: PMC6897032

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

321-325

Informations de copyright

Creative Commons Attribution License

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Auteurs

Anani Aila Mat Zin (AA)

Department of Pathology, School of Medical Science, Health Campus, University Sains Malaysia, Kelantan, Malaysia. Email: ailakb@usm.my

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Classifications MeSH