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- Title
Intraoperative Flow Cytometry for the Evaluation of Meningioma Grade.
- Authors
Alexiou, George A.; Markopoulos, Georgios S.; Vartholomatos, Evrysthenis; Goussia, Anna C.; Dova, Lefkothea; Dimitriadis, Savvas; Mantziou, Stefania; Zoi, Vasiliki; Nasios, Anastasios; Sioka, Chrissa; Kyritsis, Athanasios P.; Voulgaris, Spyridon; Vartholomatos, George
- 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.
- Subjects
FLOW cytometry; MENINGIOMA; CENTRAL nervous system; HEALTH outcome assessment; CANCER diagnosis
- Publication
Current Oncology, 2023, Vol 30, Issue 1, p832
- ISSN
1198-0052
- Publication type
Article
- DOI
10.3390/curroncol30010063