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Preoperative Imaging in Cochlear Implants.

Andrew Y Lee1, Diana Y Lee2, James E Saunders

  • 1Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.

Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [And] European Academy of Otology and Neurotology
|March 13, 2024
PubMed
Summary
This summary is machine-generated.

Computed tomography (CT) and magnetic resonance imaging (MRI) rarely reveal significant abnormalities in cochlear implant candidates, and findings seldom alter surgical plans. These imaging techniques show low sensitivity for cochlear occlusion but can inform surgical decisions when positive.

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Area of Science:

  • Radiology
  • Otolaryngology
  • Neurosurgery

Background:

  • Cochlear implantation is a common surgical treatment for severe to profound hearing loss.
  • Pre-operative imaging is crucial for identifying cochlear anomalies that may affect surgical approach and outcomes.

Purpose of the Study:

  • To evaluate the diagnostic utility of computed tomography (CT) and magnetic resonance imaging (MRI) in identifying pre-operative abnormalities in cochlear implant candidates.
  • To assess the impact of imaging findings on surgical management and postoperative outcomes.

Main Methods:

  • Retrospective review of 207 cochlear implant patients who underwent CT and/or MRI.
  • Analysis of correlations between age and imaging findings, imaging abnormalities and postoperative outcomes, and imaging findings and electrode design.
  • Evaluation of the Cambridge Cochlear Implant Protocol (CCIP) for identifying abnormalities.
  • Calculation of sensitivity and specificity for CT and MRI in detecting cochlear occlusion and incomplete partitions.

Main Results:

  • Significant pre-operative radiographic abnormalities were uncommon, affecting 15.5% of CT scans and 5.9% of MRI scans.
  • No significant differences in relevant imaging abnormalities were found between children and adults for either CT or MRI.
  • CCIP status correlated with cochlear abnormalities but identified only 46.2% of CT abnormalities.
  • CT and MRI demonstrated low sensitivity (40% and 33.33%, respectively) but high specificity (95.73% and 96.97%, respectively) for detecting cochlear occlusion requiring surgical intervention.
  • No significant association was observed between imaging abnormalities, electrode design, and postoperative AzBio scores.

Conclusions:

  • Pre-operative CT and MRI reveal significant abnormalities in a minority of cochlear implant candidates, with findings rarely leading to changes in surgical management.
  • The CCIP is not a reliable predictor of cochlear abnormalities.
  • While both CT and MRI have limited sensitivity for detecting cochlear occlusion, positive findings can influence surgical decisions.