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Published in: European Radiology 2/2022

Open Access 01-02-2022 | Digital Volume Tomography | Experimental

CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study

Authors: Tabita Breitsprecher, Anandhan Dhanasingh, Marko Schulze, Markus Kipp, Rami Abu Dakah, Tobias Oberhoffner, Michael Dau, Bernhard Frerich, Marc-André Weber, Soenke Langner, Robert Mlynski, Nora M. Weiss

Published in: European Radiology | Issue 2/2022

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Abstract

Objectives

Knowledge about cochlear duct length (CDL) may assist electrode choice in cochlear implantation (CI). However, no gold standard for clinical applicable estimation of CDL exists. The aim of this study is (1) to determine the most reliable radiological imaging method and imaging processing software for measuring CDL from clinical routine imaging and (2) to accurately predict the insertion depth of the CI electrode.

Methods

Twenty human temporal bones were examined using different sectional imaging techniques (high-resolution computed tomography [HRCT] and cone beam computed tomography [CBCT]). CDL was measured using three methods: length estimation using (1) a dedicated preclinical 3D reconstruction software, (2) the established A-value method, and (3) a clinically approved otosurgical planning software. Temporal bones were implanted with a 31.5-mm CI electrode and measurements were compared to a reference based on the CI electrode insertion angle measured by radiographs in Stenvers projection (CDLreference).

Results

A mean cochlear coverage of 74% (SD 7.4%) was found. The CDLreference showed significant differences to each other method (p < 0.001). The strongest correlation to the CDLreference was found for the otosurgical planning software-based method obtained from HRCT (CDLSW-HRCTr = 0.87, p < 0.001) and from CBCT (CDLSW-CBCTr = 0.76, p < 0.001). Overall, CDL was underestimated by each applied method. The inter-rater reliability was fair for the CDL estimation based on 3D reconstruction from CBCT (CDL3D-CBCT; intra-class correlation coefficient [ICC] = 0.43), good for CDL estimation based on 3D reconstruction from HRCT (CDL3D-HRCT; ICC = 0.71), poor for CDL estimation based on the A-value method from HRCT (CDLA-HRCT; ICC = 0.29), and excellent for CDL estimation based on the A-value method from CBCT (CDLA-CBCT; ICC = 0.87) as well as for the CDLSW-HRCT (ICC = 0.94), CDLSW-CBCT (ICC = 0.94) and CDLreference (ICC = 0.87).

Conclusions

All approaches would have led to an electrode choice of rather too short electrodes. Concerning treatment decisions based on CDL measurements, the otosurgical planning software-based method has to be recommended. The best inter-rater reliability was found for CDLA-CBCT, for CDLSW-HRCT, for CDLSW-CBCT, and for CDLreference.

Key Points

Clinically applicable calculations using high-resolution CT and cone beam CT underestimate the cochlear size.
Ten percent of cochlear duct length need to be added to current calculations in order to predict the postoperative CI electrode position.
The clinically approved otosurgical planning software-based method software is the most suitable to estimate the cochlear duct length and shows an excellent inter-rater reliability.
Literature
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go back to reference Weller T, Timm M, Büchner A, Lenarz T (2019) Individualisierte CI-Versorgung: Welchen Einfluss hat die Wahl des Elektrodenträgers?, 21. Jahrestagung der Deutschen Gesellschaft für Audiologie, Heidelberg, Germany (scientific report) Weller T, Timm M, Büchner A, Lenarz T (2019) Individualisierte CI-Versorgung: Welchen Einfluss hat die Wahl des Elektrodenträgers?, 21. Jahrestagung der Deutschen Gesellschaft für Audiologie, Heidelberg, Germany (scientific report)
Metadata
Title
CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study
Authors
Tabita Breitsprecher
Anandhan Dhanasingh
Marko Schulze
Markus Kipp
Rami Abu Dakah
Tobias Oberhoffner
Michael Dau
Bernhard Frerich
Marc-André Weber
Soenke Langner
Robert Mlynski
Nora M. Weiss
Publication date
01-02-2022
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 2/2022
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-021-08189-x

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