Paper
16 March 2020 Preoperative prediction of insertion depth of lateral wall cochlear implant electrode arrays
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Abstract
Cochlear implants (CI) use an array of electrodes surgically threaded into the cochlea to restore hearing sensation. Techniques for predicting the insertion depth of the array into the cochlea could guide surgeons towards more optimal placement of the array in order to reduce trauma and preserve the residual hearing of the patient. In addition to the electrode array geometry (length and diameter), both the base insertion depth (BID) and the cochlear scale impact the overall array insertion depth. In this paper, we investigated the influence of these parameters on overall insertion depth with the purpose of developing a model which can make preoperative predictions of insertion depth of lateral wall cochlear implant electrode arrays. CT images of 86 lateral wall positioned straight electrode array CI recipients were analyzed. Using previously developed automated algorithms, relative electrode position inside the cochlea as well as the cochlea scale was measured from the CT images. A linear regression model is proposed for insertion depth prediction based on cochlea size, array geometry, and BID. The model is able to accurately predict angular insertion depths with standard deviation of 41 degrees. Surgeons may use this model for patient-customized selection of the electrode array and/or to plan a base insertion depth for a given array that minimizes the likelihood of causing trauma to regions of the cochlea where residual hearing exists.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad M. R. Khan, Robert F. Labadie, and Jack H. Noble "Preoperative prediction of insertion depth of lateral wall cochlear implant electrode arrays", Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113152U (16 March 2020); https://doi.org/10.1117/12.2550577
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KEYWORDS
Electrodes

Surgery

Computed tomography

Data modeling

Nerve

Signal processing

Image segmentation

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