Hypothesis: Stimulation-Current-Induced Non-Stimulating Electrode Voltage Recordings (SCINSEVs) can help detect extracochlear electrodes for a variety of Cochlear Implant (CI) devices.
Background: Extracochlear electrodes (EEs) occur in 9 to 13% of cochlear implantations and commonly go unnoticed without imaging. Electrodes on the electrode array located extracochlearly are associated with non-auditory stimulation and a decrease in speech outcomes. We have previously shown that SCINSEVs, with hardware and software from one manufacturer, could detect EEs. Here, we test the generalizability to other manufacturers.
Methods: Fresh-frozen human cadaveric heads were implanted with Cochlear Ltd. CI522 (CI-A) and MED-EL's FLEX24 (CI-B) electrodes. Contact impedances and SCIN- SEVs were measured, with Cochlear Ltd. research Custom Sound software (Transimpedance Matrix) and MED-EL's clinical MAESTRO (Impedance Field Telemetry), for full insertion and EEs in air, saline and soft tissue. An automated detection tool was optimized and tested for these implants. Intra-operative SCINSEVs with EEs were collected for clinical purposes for six patients.
Results: The pattern of SCINSEVs changed in the transition zone from intracochlear to extracochlear electrodes, even with low contact impedances on EEs. Automated detection in the cadaveric specimens, with two or more EEs in saline or soft tissue, showed a mean 91% sensitivity and specificity for CI-A and 100% sensitivity and specificity for CI-B. Quantification of EEs showed significant correlations of r = 0.69 between estimated and actual EEs for CI-A and r = 0.76 for CI-B.
Conclusion: The applicability of SCINSEVs to detect extra- cochlear electrodes could be expanded to other cochlear implant companies despite differences in electrode array design and measurement software.
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http://dx.doi.org/10.1097/MAO.0000000000003512 | DOI Listing |
Otol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota.
Objective: To analyze the use of electrical field imaging (EFI) in the detection of extracochlear electrodes in cochlear implants (CI).
Study Design: Retrospective cohort study.
Setting: Tertiary academic medical center.
J Acoust Soc Am
September 2024
Aix Marseille Université, Centre National de la Recherche Scientifique, Centrale Méditerranée, Laboratoire de Mécanique et d'Acoustique, Centre National de la Recherche Scientifique, Aix Marseille Université, Marseille, 13453 Cedex 13, France.
Laryngoscope
January 2025
Department of Otolaryngology - Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, U.S.A.
Objective: To validate electrocochleography (ECochG) between an auditory evoked potential (AEP) machine and an established cochlear implant (CI) manufacturer ECochG system.
Methods: Intraoperative validation study at a tertiary referral center. Patients included adults and children undergoing cochlear implantation.
Clin Otolaryngol
November 2024
Department of Clinical Neurosciences, Cambridge Hearing Group, University of Cambridge, Cambridge, UK.
Phys Med Biol
July 2024
Dept. Signal Theory and Communications, Biomedical Engineering Group, University of Seville, Seville 41092, Spain.
Despite the widespread use and technical improvement of cochlear implant (CI) devices over past decades, further research into the bioelectric bases of CI stimulation is still needed. Various stimulation modes implemented by different CI manufacturers coexist, but their true clinical benefit remains unclear, probably due to the high inter-subject variability reported, which makes the prediction of CI outcomes and the optimal fitting of stimulation parameters challenging. A highly detailed full-head model that includes a cochlea and an electrode array is developed in this study to emulate intracochlear voltages and extracochlear current pathways through the head in CI stimulation.
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