Treffer: Estimation method of dynamic range parameters for cochlear implants based on neural response telemetry threshold.

Title:
Estimation method of dynamic range parameters for cochlear implants based on neural response telemetry threshold.
Authors:
Liu Y; Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China.; Institute of Otolaryngology of Tianjin, Tianjin, China.; Key Laboratory of Auditory Speech and Balance Medicine, Tianjin, China.; Key Medical Discipline of Tianjin (Otolaryngology), Tianjin, China.; Otolaryngology Clinical Quality Control Centre, Tianjin, China., Wang Y; Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China.; Institute of Otolaryngology of Tianjin, Tianjin, China.; Key Laboratory of Auditory Speech and Balance Medicine, Tianjin, China.; Key Medical Discipline of Tianjin (Otolaryngology), Tianjin, China.; Otolaryngology Clinical Quality Control Centre, Tianjin, China., Chen Y; Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China.; Institute of Otolaryngology of Tianjin, Tianjin, China.; Key Laboratory of Auditory Speech and Balance Medicine, Tianjin, China.; Key Medical Discipline of Tianjin (Otolaryngology), Tianjin, China.; Otolaryngology Clinical Quality Control Centre, Tianjin, China., Wang W; Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China.; Institute of Otolaryngology of Tianjin, Tianjin, China.; Key Laboratory of Auditory Speech and Balance Medicine, Tianjin, China.; Key Medical Discipline of Tianjin (Otolaryngology), Tianjin, China.; Otolaryngology Clinical Quality Control Centre, Tianjin, China.
Source:
Acta oto-laryngologica [Acta Otolaryngol] 2025 Jul; Vol. 145 (7), pp. 618-626. Date of Electronic Publication: 2025 May 10.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Taylor & Francis Country of Publication: England NLM ID: 0370354 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1651-2251 (Electronic) Linking ISSN: 00016489 NLM ISO Abbreviation: Acta Otolaryngol Subsets: MEDLINE
Imprint Name(s):
Publication: 2015- : Abingdon, Oxford : Taylor & Francis
Original Publication: Stockholm : Scandinavian University Press
MeSH Terms:
Cochlear Implants* , Telemetry* , Cochlear Implantation*, Humans ; Female ; Male ; Adult ; Middle Aged ; Adolescent ; Child ; Auditory Threshold ; Young Adult ; Neural Networks, Computer ; Child, Preschool ; Deep Learning
Contributed Indexing:
Keywords: Cochlear implant; deep learning; neural response telemetry; subjective behavior test
Entry Date(s):
Date Created: 20250510 Date Completed: 20250708 Latest Revision: 20250708
Update Code:
20250708
DOI:
10.1080/00016489.2025.2492359
PMID:
40347195
Database:
MEDLINE

Weitere Informationen

Background: There is a lack of correlation studies between subjective behavioral test threshold and neural response telemetry (NRT) thresholds in cochlear implant (CI) patients. At present, there is no predictive model that can predict the parameters of CI adjustment objectively and reliably.
Objectives: To explore the correlation between the subjective behavior test method threshold and the NRT thresholds in patients with CI with normal cochlear (NC) morphology and inner ear malformation (IEM). To explore the value of using deep learning technology to predict the parameters of machine adjustment and guide the postoperative machine adjustment.
Methods: NRT and subjective behavior tests were conducted on 57 cases of CI patients with NC morphology and 20 cases of IEM using electrodes 1, 6, 11, 16, and 22, respectively. The correlation between the NRT thresholds and T and C values was analyzed. Using deep learning techniques, establish a prediction model based on convolutional neural networks to predict the parameters of machine adjustment of CI.
Results: The average NRT thresholds values of the NC group and the IEM group were both greater than the T values, close to and slightly smaller than the C values. The average values of T values, C values, and NRT thresholds in the IEM group were slightly higher than those in the NC group. The NRT thresholds of the both groups is significantly correlated with the C values and T values. The constructed prediction model has high accuracy between the predicted values and the actual values of each electrode. Moreover, the linear regression equation between the predicted and actual values is highly similar.
Conclusions: The NRT thresholds is significantly related to the subjective behavior test threshold. The correlation between NRT thresholds and T or C values can be used to assist in CI tuning. Especially for patients with IEM, different machine adjustment strategies should be adopted compared to NC patients. Moreover, the constructed neural network prediction model can also guide the postoperative adjustment of patients with cochlear implants.