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Otolaryngol Head Neck Surg · Aug 2020
Facial Schwannoma Management Outcomes: A Systematic Review of the Literature.
- Matthew Bartindale, Jeffrey Heiferman, Cara Joyce, Douglas Anderson, and John Leonetti.
- Department of Otolaryngology-Head and Neck Surgery, Loyola University Medical Center, Maywood, Illinois, USA.
- Otolaryngol Head Neck Surg. 2020 Aug 1; 163 (2): 293-301.
ObjectiveTo evaluate facial nerve outcomes of various management strategies for facial schwannomas by assimilating individualized patient data from the literature to address controversies in management.Data SourcesPubMed-National Center for Biotechnology Information and Scopus databases.Review MethodsA systematic review of the literature was performed for studies regarding facial schwannomas. Studies were included if they presented patient-level data, type of intervention, pre- and postintervention House-Brackmann (HB) grades, and tumor location by facial nerve segment.ResultsIndividualized data from 487 patients were collected from 31 studies. Eighty (16.4%) facial schwannomas were managed with observation, 25 (5.1%) with surgical decompression, 20 (4.1%) with stereotactic radiosurgery, 225 (46.2%) with total resection, and 137 (28.1%) with subtotal resection/stripping surgery. Stripping surgery/subtotal resection with good preoperative facial nerve function maintained HB grade 1 or 2 in 96% of cases. With a total resection of intradural tumors, preoperative HB grade did not significantly affect facial nerve outcome (n = 45, P = .46). However, a lower preoperative HB grade was associated with a better facial nerve outcome with intratemporal tumors (n = 56, P = .009). When stereotactic radiosurgery was performed, 40% of patients had improved, 35% were stable, and 25% had worsened facial function. Facial nerve decompression rarely affected short-term facial nerve status.ConclusionThe data from this study help delineate which treatment strategies are best in which clinical scenarios. The findings can be used to develop a more definitive management algorithm for this complicated pathology.
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