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Intraoperative Flow Cytometry for the Evaluation of Meningioma Grade

Authors :
George A. Alexiou
Georgios S. Markopoulos
Evrysthenis Vartholomatos
Anna C. Goussia
Lefkothea Dova
Savvas Dimitriadis
Stefania Mantziou
Vasiliki Zoi
Anastasios Nasios
Chrissa Sioka
Athanasios P. Kyritsis
Spyridon Voulgaris
George Vartholomatos
Source :
Current Oncology, Vol 30, Iss 1, Pp 832-838 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Meningiomas are the most frequent central nervous system tumors in adults. The majority of these tumors are benign. Nevertheless, the intraoperative identification of meningioma grade is important for modifying surgical strategy in order to reduce postoperative complications. Here, we set out to investigate the role of intraoperative flow cytometry for the differentiation of low-grade (grade 1) from high-grade (grade 2–3) meningiomas. The study included 59 patients. Intraoperative flow cytometry analysis was performed using the ‘Ioannina Protocol’ which evaluates the G0/G1 phase, S-phase, mitosis and tumor index (S + mitosis phase fraction) of a tumor sample. The results are available within 5 min of sample receipt. There were 41 grade 1, 15 grade 2 and 3 grade 3 meningiomas. High-grade meningiomas had significantly higher S-phase fraction, mitosis fraction and tumor index compared to low-grade meningiomas. High-grade meningiomas had significantly lower G0/G1 phase fraction compared to low-grade meningiomas. Thirty-eight tumors were diploids and twenty-one were aneuploids. No significant difference was found between ploidy status and meningioma grade. ROC analysis indicated 11.4% of tumor index as the optimal cutoff value thresholding the discrimination between low- and high-grade meningiomas with 90.2% sensitivity and 72.2% specificity. In conclusion, intraoperative flow cytometry permits the detection of high-grade meningiomas within 5 min. Thus, surgeons may modify tumor removal strategy.

Details

Language :
English
ISSN :
30010063, 17187729, and 11980052
Volume :
30
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Current Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.0bb38cb96d574b63897b825f54dab592
Document Type :
article
Full Text :
https://doi.org/10.3390/curroncol30010063