CC BY-NC-ND 4.0 · Laryngorhinootologie 2019; 98(S 02): S216
DOI: 10.1055/s-0039-1685676
Poster
Imaging/Sonography

Postoperative position control after CI implantation by 3D volume rendering cochlear implant reconstruction using flat detector computed tomography

L Taha
1   HNO Uniklinik Erlangen, Erlangen
,
J Hornung
1   HNO Uniklinik Erlangen, Erlangen
,
F Eisenhut
2   Neuroradiologie Uniklinik Erlangen, Erlangen
,
H Iro
1   HNO Uniklinik Erlangen, Erlangen
,
T Struffert
2   Neuroradiologie Uniklinik Erlangen, Erlangen
,
A Dörfler
3   Neuroradiologie Uniklink Erlangen, Erlangen
› Author Affiliations
 

Postoperative computed tomography (CT) position control of cochlear implants (CI) is part of the clinical routine. However only two-dimensional reconstruction is used, lacking additional information a third dimension can give.

The 4 patients presented in this study underwent CI surgery at the Department of Otorhinolaryngology, Head and Neck Surgery, Universitätsklinikum Erlangen and a single FD-CT run was performed to confirm the right postoperative location of the CI. The 20 second FD-CT run was performed on a monoplane angiography system. The acquired images were transformed to and the 3D volume rendering reconstruction was performed using a dedicated workstation running InSpace 3D software. Additionally we compared the images with the intraoperative Telemetry Evoked Compound Action Potentials (TECAP) and the postoperativ clinic of the patients. The post- and intraoperative TECAPs and the postoperativ clinic of the patients were unobtrusive and unspecified.

With 3D CI volume rendering reconstruction, we introduce a new method to confirm the right postoperative CI position in vivo precisely without additional radiation exposure by fusing two data sets of a single FD-CT run. Thereby the complex anatomy of the inner ear together with the accurate intracochlear implant is easily comprehensible for medical beginners and non-radiologists and can reasonable be demonstrated to the patients.



Publication History

Publication Date:
23 April 2019 (online)

© 2019. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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