Polterauer, Daniel Hermann Rainer (2024): Präoperativ elektrisch evozierte Hirnstammpotentiale als Prädiktor des postoperativen Verlaufs nach einer Cochleaimplantation. Dissertation, LMU München: Faculty of Medicine |
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Abstract
Objective: Subjective promontory stimulation is used to evaluate cochlear implant (CI) candidacy, but the test reliability is low. Electrically evoked auditory brainstem response (EABR) can verify the function of the auditory system objectively. This study’s procedure uses a trans-tympanic rounded bent-tip electrode to perform pre-operative EABR under local anaesthesia (LA-TT-EABR) using MED-EL Software and Hardware. This study aimed to determine usability and effectiveness for CI candidates. Design: We hypothesised that LA-TT-EABR waveforms of good quality would be related to successful hearing outcomes. We assumed that the duration of hearing loss/deafness was a confounding factor to study outcomes. Study sample: 19 borderline CI candidates. Results: Positive LA-TT-EABR results were confirmed in 14 patients. LA-TT-EABR’s mean latency was 2.05 ± 0.31 ms (eII/eIII) and 4.24 ± 0.39 ms (eIV/eV). Latencies weren’t statistically different from intra-operative EABR elicited by basal CI contacts. All positive LA-TT-EABR patients benefitted from CI and speech performance improved one year after implantation. One patient with negative LA-TT-EABR was cochlearimplanted and had no hearing sensation. Conclusions: LA-TT-EABR is a tool in the frame of pre-operative objective testing the auditory pathway. It seems useful for clinical testing CI candidacy. Based on this study’s outcomes, LA-TT-EABR should be recommended for uncertain CI candidates.
Item Type: | Theses (Dissertation, LMU Munich) |
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Keywords: | auditory implant, hearing, cochlear implant, eabr, aep, abr, alr, ealr, promontory |
Subjects: | 600 Technology, Medicine 600 Technology, Medicine > 610 Medical sciences and medicine |
Faculties: | Faculty of Medicine |
Language: | German |
Date of oral examination: | 16. July 2024 |
1. Referee: | Hempel, John-Martin |
MD5 Checksum of the PDF-file: | 85bac54f1d167ead566b9da1ac7fd4ed |
Signature of the printed copy: | 0700/UMD 21898 |
ID Code: | 33926 |
Deposited On: | 16. Aug 2024 13:16 |
Last Modified: | 16. Aug 2024 13:16 |