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1000 Titel
  • A method for accurate and reproducible specimen alignment for insertion tests of cochlear implant electrode arrays
1000 Autor/in
  1. Cramer, Jakob |
  2. Böttcher-Rebmann, Georg |
  3. Lenarz, Thomas |
  4. Rau, Thomas Stephan |
1000 Verlag
  • Springer International Publishing
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-05-19
1000 Erschienen in
1000 Quellenangabe
  • 19(9):1883-1893
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s11548-023-02930-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11582122/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>The trajectory along which the cochlear implant electrode array is inserted influences the insertion forces and the probability for intracochlear trauma. Controlling the trajectory is especially relevant for reproducible conditions in electrode insertion tests. Using ex vivo cochlear specimens, manual alignment of the invisibly embedded cochlea is imprecise and hardly reproducible. The aim of this study was to develop a method for creating a 3D printable pose setting adapter to align a specimen along a desired trajectory toward an insertion axis.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Planning points of the desired trajectory into the cochlea were set using CBCT images. A new custom-made algorithm processed these points for automated calculation of a pose setting adapter. Its shape ensures coaxial positioning of the planned trajectory to both the force sensor measuring direction and the insertion axis. The performance of the approach was evaluated by dissecting and aligning 15 porcine cochlear specimens of which four were subsequently used for automated electrode insertions.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The pose setting adapter could easily be integrated into an insertion force test setup. Its calculation and 3D printing was possible in all 15 cases. Compared to planning data, a mean positioning accuracy of 0.21 ± 0.10 mm at the level of the round window and a mean angular accuracy of 0.43° ± 0.21° were measured. After alignment, four specimens were used for electrode insertions, demonstrating the practical applicability of our method.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>In this work, we present a new method, which enables automated calculation and creation of a ready-to-print pose setting adapter for alignment of cochlear specimens in insertion test setups. The approach is characterized by a high level of accuracy and reproducibility in controlling the insertion trajectory. Therefore, it enables a higher degree of standardization in force measurement when performing ex vivo insertion tests and thereby improves reliability in electrode testing.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Algorithms [MeSH]
lokal Swine [MeSH]
lokal Electrode insertion tests
lokal Cone-Beam Computed Tomography/methods [MeSH]
lokal Electrodes, Implanted [MeSH]
lokal 3D printing
lokal Pose setting adapter
lokal Cochlea/surgery [MeSH]
lokal Animals [MeSH]
lokal Original Article
lokal Porcine cochlea
lokal Cochlear Implantation/methods [MeSH]
lokal Reproducibility of Results [MeSH]
lokal Printing, Three-Dimensional [MeSH]
lokal Cochlear Implants [MeSH]
lokal Specimen alignment
lokal Cochlea/diagnostic imaging [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3921-7963|https://orcid.org/0000-0002-3821-2194|https://orcid.org/0000-0002-9307-5989|https://orcid.org/0000-0002-7223-3618
1000 Hinweis
  • DeepGreen-ID: 9643c8e17068402da29e0f1bd51abe7e ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Deutsche Forschungsgemeinschaft |
  3. Medizinische Hochschule Hannover (MHH) |
1000 Fördernummer
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  2. -
  3. -
1000 Förderprogramm
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1000 Dateien
1000 Förderung
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    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Medizinische Hochschule Hannover (MHH) |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6499477.rdf
1000 Erstellt am 2025-02-05T02:47:43.864+0100
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