Evidence map›Paper›PMID 40562844›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2025

Prediction accuracy of cochlear implant electrode insertion using the OTOPLAN software.

Caterina Vazzana, Marten Geisen, Uwe Baumann, Dennis Sakmen, Esther Knörle, Timo Stöver, Silke Helbig

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Caterina VazzanaDepartment of Otorhinolaryngology, Head and Neck Surgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Marten GeisenDepartment of Audiology & Audiological Acoustic, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Uwe BaumannDepartment of Audiology & Audiological Acoustic, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Dennis SakmenDepartment of Otorhinolaryngology, Head and Neck Surgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Esther KnörleDepartment of Otorhinolaryngology, Head and Neck Surgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Timo StöverDepartment of Otorhinolaryngology, Head and Neck Surgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Silke HelbigDepartment of Otorhinolaryngology, Head and Neck Surgery, Goethe University Frankfurt, University Hospital, Frankfurt, Germany. silke.helbig@unimedizin-ffm.de.ORCID http://orcid.org/0000-0001-9666-4028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePreoperative cochlear measurements to determine optimal electrode array length are increasingly used in clinical practice. This study aims to evaluate the predictive accuracy of OTOPLAN software for cochlear implant (CI) electrode array insertion depth, angle, and frequency allocation in a clinical setting.

methodsData from 121 patients implanted with a CI between 2016 and 2020 with both preoperative CT and postoperative CBCT DICOM data were analysed. Parameters measured included cochlear diameter (A), height (H), width (B), cochlear duct length (CDL), insertion angle, insertion depth and frequency. Statistical significance of differences between CT and CBCT measurements was determined using a p-value threshold of < 0.05.

resultsData from 121 patients were analysed. Median measurements for CT vs. CBCT were 9.2 mm vs. 9.5 mm for A, 4.2 mm vs. 4.3 mm for H, and 6.8 mm for B in both modalities. The median CDL was 35.9 mm vs. 36.3 mm. Significant differences were observed for parameters A, B and CDL, while no significant difference was found for H. CDL measurements were significantly shorter in females compared to males. In addition, significant discrepancies were found between CT and CBCT for insertion angles, insertion depths and frequency estimates.

conclusionOTOPLAN is effective for predicting insertion depth with high accuracy. However, significant differences between CT- and CBCT-derived measurements suggest that CT is the more reliable modality for OTOPLAN-assisted evaluation of cochlear parameters, due to CBCT’s susceptibility to motion artefacts.

Indexed as

CochleaCochlear ImplantationCochlear ImplantsSoftwareAdultAgedAged, 80 and overCone-Beam Computed TomographyElectrodes, ImplantedFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedCochlear implantElectrode carrierInsertion angleInsertion depthOTOPLAN

Identifiers

PMID40562844
PMCPMC12680725

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.