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Faculty of Medical Sciences

Audiometry and Vestibular Schwannoma

Priem, C.M. (Laura) (2016) Audiometry and Vestibular Schwannoma. thesis, Medicine.

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Abstract

Introduction: Asymmetrical sensorineural hearing loss is the major symptom of vestibular schwannoma (95%). The golden standard with 100% sensitivity and a high specificity is the Magnetic Resonance Imaging. In approximately 1% of the MRI-scans a vestibular schwannoom has been noticed. Aim: This study investigates the association between audiometry and a vestibular schwannoma. Can the principle component analysis be a better predictor in finding a vestibular schwannoma and will this reduce the amount of MRI-scans? Methods: A retrospective chart survey was performed, involving the analysis of 79 patients with vestibular schwannoom (patient group) which were discussed in the schedelbasiswerkgroep in the University Medical Center Groningen during the years 2012-2014 and 141 patients with asymmetrical sensorineural hearing loss (control group) from the University Medical Center Groningen and without tumor in the year 2012. All patients already received audiometry and a MRI-scan. The principle component analysis was performed on the entire patient cohort of 217 patients. Individual principle component scores were compared between tumor and non- tumor patients. The analysis was performed twice: 1) including pure- tone and speech audiometry, and 2) including anamnestic parameters in addition to pure- tone and speech audiometry Results: The principle component scores of 32 patients without tumor differed substantially frome those in the tumor group. When the anamnestic parameters were included in the principle component analysis, the scores of 13 patients differed from the rest. There were 56 patients with 1 symptom only 9 patients had a vestibular schwannoma. Conclusion: This study concluded that when the non- suspected ear has a huge hearing loss at the non- suspected ear a MRI-scan is unnecessary. Using the principle component scores on new patients could be useful as a selection criterion. This would reduce the amount of MRI scans.

Item Type: Thesis (Thesis)
Supervisor name: Begeleiders: and Dijk Prof. P. van and en and Hofman, Drs. R. and Afdeling: Keel- Neus- en Oorheelkunde UMCG
Faculty: Medical Sciences
Date Deposited: 25 Jun 2020 10:56
Last Modified: 25 Jun 2020 10:56
URI: https://umcg.studenttheses.ub.rug.nl/id/eprint/1700

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