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Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

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Subjective Benefit of Cochlear Implantation for Different Degrees of Hearing Asymmetry.

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Precision Audiometry and Ecological Validity: Exploring the Link Between Patient-Reported Outcome Measures and Speech Testing in CI Users.

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Related Experiment Video

Updated: Jul 14, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

416

Evaluative audiometry after cochlear implant provision.

Oliver C Dziemba1, Stephan Merz2, Thomas Hocke3

  • 1Klinik und Poliklinik für Hals‑, Nasen‑, Ohrenkrankheiten, Kopf- und Halschirurgie, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany. oliver.dziemba@med.uni-greifswald.de.

HNO
|October 9, 2023
PubMed
Summary
This summary is machine-generated.

Postoperative audiometric checks, including loudness scaling and hearing loss, help explain variability in cochlear implant (CI) patient speech perception. These systematic checks offer insights for CI fitting adjustments.

Keywords:
Computer simulationLoudness scalingPatient-specific modelingProstheses and implantsSpeech audiometry

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Area of Science:

  • Audiology
  • Neurosurgery
  • Speech-Language Pathology

Background:

  • Cochlear implants (CI) aim to improve speech perception, particularly speech intelligibility in quiet.
  • Significant variability exists in CI patient outcomes, with causes not fully understood.
  • This study focuses on a selected CI patient group without expected negative etiological impact on speech intelligibility.

Purpose of the Study:

  • To investigate the sources of variability in postoperative speech intelligibility among cochlear implant (CI) patients.
  • To identify key audiometric parameters that predict speech perception outcomes after cochlear implantation.

Main Methods:

  • Retrospective analysis of audiometric data from 28 adult CI patients after 6 months of use.
  • Evaluation of preoperative and postoperative audiometric findings.
  • Application of a predictive model for postoperative monosyllabic scores.

Main Results:

  • Incorporating postoperative categorical loudness scaling and hearing loss data explained 55% of the variability in monosyllabic word recognition.
  • Specific audiometric measures significantly correlate with speech perception outcomes.

Conclusions:

  • Systematic postoperative audiometric assessments are crucial for understanding variability in CI fitting outcomes.
  • Findings suggest immediate adjustments to CI system fitting based on these audiometric checks.
  • Further prospective studies are needed to confirm the impact of these adjustments on patient outcomes.