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Article Dans Une Revue International Journal of Radiation Oncology, Biology, Physics Année : 2016

Predictors of Trigeminal Neuropathy After Radiosurgery for Vestibular Schwannomas

Résumé

Purpose: To analyze the relationship between dosimetric characteristics and symptoms related to trigeminal neuropathy (TN) observed after radiosurgery (RS) for vestibular schwannomas (VS); to propose guidelines to optimize planification in VS RS regarding TN preservation; and to detail the mechanism of TN impairment after VS RS.

Methods and materials: One hundred seventy-nine patients treated between 2011 and 2013 for VS RS and without trigeminal impairment before RS were included in a retrospective study. Univariate and multivariate analyses were performed to determine predictors of TN among characteristics of the patients, the dosimetry, and the VS.

Results: There were 20 Koos grade 1, 99 grade 2, 57 grade 3, and 3 grade 4. Fourteen patients (7.8%) presented a transitory or permanent TN. Between the patients with and without TN after VS RS, there was no significant difference regarding dosimetry or VS volume itself. Significant differences (univariate analysis P<.05, Mann-Whitney test) were found for parameters related to the cisternal portion of the trigeminal nerve: total integrated dose, maximum dose, mean dose, volume of the Vth nerve (Volv), and volume of the Vth nerve receiving at least 11 Gy (VolVcist>11Gy), but also for maximal dose to the Vth nerve nucleus and intra-axial portion (Dose maxVax). After multivariate analysis, the best model predicting TN included VolVcist>11Gy (P=.0045), Dose maxVax (P=.0006), and Volv (P=.0058). The negative predictive value of this model was 97%.

Conclusions: The parameters VolVcist>11Gy, Dose maxVax, and Volv should be checked when designing dosimetry for VS RS.
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Dates et versions

hal-01377875 , version 1 (03-11-2023)

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Suhan Senova, Mourad Aggad, Jean-Louis Golmard, Dominique Hasboun, Ioannis Lamproglou, et al.. Predictors of Trigeminal Neuropathy After Radiosurgery for Vestibular Schwannomas. International Journal of Radiation Oncology, Biology, Physics, 2016, 95 (2), pp.721-728. ⟨10.1016/j.ijrobp.2016.01.012⟩. ⟨hal-01377875⟩
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