Clinical, radiographic, and audiometric predictors in conservative management of vestibular schwannoma.
Publication/Presentation Date
6-1-2009
Abstract
OBJECTIVE: Vestibular schwannomas (VS) can be managed by observation. The goals were to examine clinical, radiographic, and audiometric variables at presentation and during observation that may predict which patients fail conservative management.
METHODS: A retrospective chart review was performed of 202 patients who elected observation primarily. Data collection included presenting symptoms, symptom progression, tumor size, audiologic measures, and global clinical outcomes. Univariate and multivariate analyses were performed.
RESULTS: Follow-up ranged from 1 month to 16 years (mean, 2.48 yr). Nineteen patients (9.4%) in the study group failed. Disequilibrium as a presenting symptom appeared more often in patients who failed observation (58% versus 32%; p = 0.039), as did new-onset disequilibrium. Presenting tumor size differed for patients who failed conservative management, with a mean of 14.0 versus 8.4 mm (p = 0.0006). Neurotologic complications compared favorably to those treated with primary surgery or radiotherapy.
CONCLUSION: Patients with subjective disequilibrium at presentation and subjective disequilibrium developed during observation may be more likely to fail conservative management. Increased tumor size at presentation also may indicate the same, although no threshold could be achieved.
Volume
30
Issue
4
First Page
507
Last Page
514
ISSN
1537-4505
Published In/Presented At
Malhotra, P. S., Sharma, P., Fishman, M. A., Grumbine, F. L., Tholey, R., Dam, V. Q., Dasgupta, A., Pequignot, E., & Willcox, T. O. (2009). Clinical, radiographic, and audiometric predictors in conservative management of vestibular schwannoma. Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology, 30(4), 507–514. https://doi.org/10.1097/MAO.0b013e31819d3465
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
19373122
Department(s)
Administration and Leadership
Document Type
Article