Related Experiment Video
Updated: Sep 14, 2025

06:04
Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
472
Cochlear Implants and the Aided Audiogram: A Retrospective Study Comparing Performance Across Device Manufacturers
Nicole Hope Capach1, Noam Zigdon1, Taylor A Payne1
1Department of Otolaryngology Head and Neck Surgery, New York University Grossman School of Medicine, New York, NY 10016, USA.
Audiology Research
|July 23, 2025
Summary
Cochlear implant manufacturers show differences in hearing thresholds and speech perception. Programming methods, specifically T-level measurement, may influence these outcomes.
Area of Science:
- Audiology
- Biomedical Engineering
- Hearing Science
Background:
- Cochlear implants (CIs) are crucial for hearing restoration.
- Variations in CI performance across manufacturers are not fully understood.
- Understanding these differences can optimize patient outcomes.
Purpose of the Study:
- To compare CI-aided hearing thresholds and speech perception scores across different CI manufacturers.
- To investigate the relationship between CI-aided thresholds and speech perception abilities.
- To explore potential reasons for observed performance differences.
Main Methods:
- Analysis of exploratory data from NYU and confirmatory data from ASAN clinic (120 CI users).
- Comparison of CI-aided soundfield evaluations between Cochlear, Advanced Bionics (AB), and MED-EL manufacturers.
- Assessment using pure-tone averages (PTAs), incidence of elevated thresholds, and speech perception scores.
Main Results:
- MED-EL and AB users exhibited significantly poorer pure-tone averages compared to Cochlear users.
- A higher percentage of MED-EL and AB users had elevated 5- or 6-pure-tone averages (PTAs) above 35 dB HL.
- Cochlear users demonstrated superior word and sentence recognition scores, potentially linked to behaviorally-measured T-levels.
Conclusions:
- Significant disparities in CI-aided thresholds and speech perception exist among manufacturers.
- Brand-specific T-level programming strategies may contribute to these observed performance variations.
- Further research into programming methodologies is warranted to enhance CI efficacy.

