Literature DB >> 31419213

Clinical Applicability of a Preoperative Angular Insertion Depth Prediction Method for Cochlear Implantation.

Christoph Rathgeb1, Marco Demattè2,3, Abraam Yacoub2,4, Lukas Anschuetz2, Franca Wagner5, Georgios Mantokoudis2, Marco Caversaccio1,2, Wilhelm Wimmer1,2.   

Abstract

OBJECTIVE: Evaluation of the accuracy and clinical applicability of a single measure cochlear implant angular insertion depth prediction method.
BACKGROUND: Cochlear implantation outcomes still vary extensively between patients. One of the possible reasons could be variability in intracochlear electrode array placement. For this reason, single measure methods were suggested to preoperatively predict angular insertion depths. Based on a previously performed accuracy study in human temporal bones, we were interested in determining the extent to which the method could be applied in a clinical setting.
METHODS: A retrospective analysis was performed on pre- and postoperative radiographic images of 50 cochlear implant recipients. Preoperatively predicted angular insertion depths were compared with angular insertion depths measured on postoperative ground truth. The theoretical prediction error was computed under the assumption that all achieved insertions were matching the preoperatively assumed linear insertion depth. More importantly, the clinical prediction error was assessed using two different software tools performed by three experienced surgeons.
RESULTS: Using the proposed method we found a theoretical prediction error of 5 degrees (SD = 41 degrees). The clinical prediction error including the cases with extracochlear electrodes was 70 degrees (SD = 96 degrees).
CONCLUSIONS: The presented angular insertion depth prediction method is a first practical approach to support the preoperative selection of cochlear implant electrode arrays. However, the presented procedure is limited in that it is unable to predict the occurrence of insertion results with extracochlear electrodes and requires user training.

Entities:  

Mesh:

Year:  2019        PMID: 31419213     DOI: 10.1097/MAO.0000000000002304

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  4 in total

1.  Preoperative prediction of angular insertion depth of lateral wall cochlear implant electrode arrays.

Authors:  Mohammad M R Khan; Robert F Labadie; Jack H Noble
Journal:  J Med Imaging (Bellingham)       Date:  2020-06-03

2.  Hybrid active shape and deep learning method for the accurate and robust segmentation of the intracochlear anatomy in clinical head CT and CBCT images.

Authors:  Yubo Fan; Dongqing Zhang; Rueben Banalagay; Jianing Wang; Jack H Noble; Benoit M Dawant
Journal:  J Med Imaging (Bellingham)       Date:  2021-11-24

3.  Human bony labyrinth dataset: Co-registered CT and micro-CT images, surface models and anatomical landmarks.

Authors:  Wilhelm Wimmer; Lukas Anschuetz; Stefan Weder; Franca Wagner; Hervé Delingette; Marco Caversaccio
Journal:  Data Brief       Date:  2019-11-09

4.  Implementation of secondary reconstructions of flat-panel volume computed tomography (fpVCT) and otological planning software for anatomically based cochlear implantation.

Authors:  Franz-Tassilo Müller-Graff; Lukas Ilgen; Philipp Schendzielorz; Johannes Voelker; Johannes Taeger; Anja Kurz; Rudolf Hagen; Tilmann Neun; Kristen Rak
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-06-08       Impact factor: 3.236

  4 in total

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