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Validation of a scoring system to evaluate the risk of rapid growth of intracranial meningiomas in neurofibromatosis type 2 patients.
Abi Jaoude, Samiya; Peyre, Matthieu; Degos, Vincent; Goutagny, Stéphane; Parfait, Béatrice; Kalamarides, Michel.
Afiliación
  • Abi Jaoude S; 1Department of Neurosurgery and.
  • Peyre M; 1Department of Neurosurgery and.
  • Degos V; 2Sorbonne Universités, Paris.
  • Goutagny S; 2Sorbonne Universités, Paris.
  • Parfait B; 3Neurosurgical Intensive Care, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris.
  • Kalamarides M; 4Department of Neurosurgery, Beaujon Hospital, Assistance Publique-Hôpitaux de Paris; and.
J Neurosurg ; 134(5): 1377-1385, 2020 May 22.
Article en En | MEDLINE | ID: mdl-32442973
ABSTRACT

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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neurofibromatosis 2 / Neoplasias Meníngeas / Meningioma Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: J Neurosurg Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neurofibromatosis 2 / Neoplasias Meníngeas / Meningioma Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: J Neurosurg Año: 2020 Tipo del documento: Article