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


Journal

Journal of neurosurgery
ISSN: 1933-0693
Titre abrégé: J Neurosurg
Pays: United States
ID NLM: 0253357

Informations de publication

Date de publication:
22 May 2020
Historique:
received: 31 08 2019
accepted: 17 03 2020
pubmed: 23 5 2020
medline: 10 8 2021
entrez: 23 5 2020
Statut: epublish

Résumé

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. 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. 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). 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.

Identifiants

pubmed: 32442973
doi: 10.3171/2020.3.JNS192382
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1377-1385

Auteurs

Samiya Abi Jaoude (S)

1Department of Neurosurgery and.

Matthieu Peyre (M)

1Department of Neurosurgery and.
2Sorbonne Universités, Paris.

Vincent Degos (V)

2Sorbonne Universités, Paris.
3Neurosurgical Intensive Care, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris.

Stéphane Goutagny (S)

4Department of Neurosurgery, Beaujon Hospital, Assistance Publique-Hôpitaux de Paris; and.

Béatrice Parfait (B)

5Department of Genetics and Molecular Biology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, France.

Michel Kalamarides (M)

1Department of Neurosurgery and.
2Sorbonne Universités, Paris.

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