Intraoperative Flow Cytometry for the Evaluation of Meningioma Grade

Autor: 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
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Current Oncology, Vol 30, Iss 1, Pp 832-838 (2023)
Druh dokumentu: article
ISSN: 30010063
1718-7729
1198-0052
DOI: 10.3390/curroncol30010063
Popis: 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.
Databáze: Directory of Open Access Journals
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