Validation of a scoring system to evaluate the risk of rapid growth of intracranial meningiomas in neurofibromatosis type 2 patients

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  • 1 Department of Neurosurgery and
  • 3 Neurosurgical Intensive Care, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris;
  • 2 Sorbonne Universités, Paris;
  • 4 Department of Neurosurgery, Beaujon Hospital, Assistance Publique-Hôpitaux de Paris; and
  • 5 Department of Genetics and Molecular Biology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, France
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OBJECTIVE

Intracranial meningiomas occur in about half of neurofibromatosis type 2 (NF2) patients and are very frequently multiple. Thus, estimating individual meningiomas’ growth rates is of great interest to tailor therapeutic interventions. The Asan Intracranial Meningioma Scoring System (AIMSS) has recently been published to estimate the risk of tumor growth in sporadic meningiomas. The current study aimed to determine predictors of rapid meningioma growth in NF2 patients and to evaluate the AIMSS score in a specific NF2 cohort.

METHODS

The authors performed a retrospective analysis of 92 NF2 patients with 358 measured intracranial meningiomas that had been observed prospectively between 2012 and 2018. Tumor volumes were measured at diagnosis and at each follow-up visit. The growth rates were determined and evaluated with respect to the clinicoradiological parameters. Predictors of rapid tumor growth (defined as growth ≥ 2 cm3/yr) were analyzed using univariate followed by multivariate logistic regression to build a dedicated predicting model. Receiver operating characteristic (ROC) curves to predict the risk of rapid tumor growth with the AIMSS versus the authors’ multivariate model were compared.

RESULTS

Sixty tumors (16.76%) showed rapid growth. After multivariate analysis, a larger tumor volume at diagnosis (p < 0.0001), presence of peritumoral edema (p = 0.022), absence of calcifications (p < 0.0001), and hyperintense or isointense signal on T2-weighted MRI (p < 0.005) were statistically significantly associated with rapid tumor growth. It is particularly notable that the genetic severity score did not seem to influence the growth rate of NF2 meningiomas. In comparison with the AIMSS, the authors’ multivariate model’s prediction did not show a statistically significant difference (area under the curve [AUC] 0.82 [95% CI 0.76–0.88] for the AIMSS vs AUC 0.86 [95% CI 0.81–0.91] for the authors’ model, p = 0.1).

CONCLUSIONS

The AIMSS score is valid in the authors’ cohort of NF2-related meningiomas. It adequately predicted risk of rapid meningioma growth and could aid in decision-making in NF2 patients.

ABBREVIATIONS AIMSS = Asan Intracranial Meningioma Scoring System; AUC = area under the curve; GKRS = Gamma Knife radiosurgery; NF2 = neurofibromatosis type 2; ROC = receiver operating characteristic; T2W = T2-weighted.

Supplementary Materials

    • Supplemental Figs 1 through 3 (PDF 732 KB)

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Contributor Notes

Correspondence Michel Kalamarides: Hôpital de la Pitié Salpêtrière, Paris, France. michel.kalamarides@aphp.fr.

INCLUDE WHEN CITING Published online May 22, 2020; DOI: 10.3171/2020.3.JNS192382.

Disclosures The authors report no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper.

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