Literature DB >> 24196418

Diversity in cochlear morphology and its influence on cochlear implant electrode position.

Kim S van der Marel1, Jeroen J Briaire, Ron Wolterbeek, Jorien Snel-Bongers, Berit M Verbist, Johan H M Frijns.   

Abstract

OBJECTIVES: To define a minimal set of descriptive parameters for cochlear morphology and study its influence on the cochlear implant electrode position in relation to surgical insertion distance.
DESIGN: Cochlear morphology and electrode position were analyzed using multiplanar reconstructions of the pre- and postoperative CT scans in a population of 336 patients (including 26 bilaterally implanted ones) with a CII HiFocus1 or HiRes90K HiFocus1J implant. Variations in cochlear diameter and cochlear canal size were analyzed. The relationship between the outer and inner walls was investigated. Size differences based on sex, age, and ear side were investigated using linear mixed models. Two new methods, spiral fitting and principal component analysis, were proposed to describe cochlear shape, and the goodness of fit was investigated. The relationship between cochlear shape and electrode position, in terms of modiolus proximity and insertion depth, was analyzed using clustering, one-way analysis of variance (ANOVA) and simple linear regression analysis.
RESULTS: Large variations in cochlear morphology were found, with cochlear canal sizes ranging from 0.98 to 2.96 mm and average cochlear diameters between 8.85 and 5.92 mm (with standard deviations of around 0.4 mm). The outer and inner walls were significantly correlated (p < 0.01), and a size difference of 4% in favor of males was found. Spiral fitting shows good alignment of the true measurements, with residuals having a mean of 0.01 mm and a standard deviation of 0.29 mm. Principal component analysis (PCA) showed that the use of one component, which describes size, is sufficient to explain 93.6% of the cochlear shape variance. A significant sex difference was also found with spiral fitting and PCA. Cochlear size was found to have a significant influence on modiolus proximity and insertion depth of the electrode (p < 0.01). Cochlear size explained around 13% of the variance in electrode position. When cochlear size was combined with surgical insertion, more than 81% of the variance in insertion depth can be explained.
CONCLUSIONS: This study demonstrates a large variety in cochlear morphology, which significantly impacts electrode position in terms of modiolus proximity and insertion depth. The effect size is, however, relatively small compared with surgical insertion distance. PCA is shown to be an accurate reduction method for describing cochlear shape.

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Year:  2014        PMID: 24196418     DOI: 10.1097/01.aud.0000436256.06395.63

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  21 in total

1.  Interaural Pitch-Discrimination Range Effects for Bilateral and Single-Sided-Deafness Cochlear-Implant Users.

Authors:  Matthew J Goupell; Stefano Cosentino; Olga A Stakhovskaya; Joshua G W Bernstein
Journal:  J Assoc Res Otolaryngol       Date:  2019-01-08

2.  A Smartphone Application for Customized Frequency Table Selection in Cochlear Implants.

Authors:  Daniel Jethanamest; Mahan Azadpour; Annette M Zeman; Elad Sagi; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2017-09       Impact factor: 2.311

3.  Visualization of human inner ear anatomy with high-resolution MR imaging at 7T: initial clinical assessment.

Authors:  M A van der Jagt; W M Brink; M J Versluis; S C A Steens; J J Briaire; A G Webb; J H M Frijns; B M Verbist
Journal:  AJNR Am J Neuroradiol       Date:  2014-08-21       Impact factor: 3.825

4.  Visualization, measurement and modelling of the cochlea using rotating midmodiolar slice planes.

Authors:  G Jakob Lexow; Daniel Schurzig; Nils-Claudius Gellrich; Thomas Lenarz; Omid Majdani; Thomas S Rau
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-19       Impact factor: 2.924

5.  The influence of cochlear morphology on the final electrode array position.

Authors:  M C Ketterer; A Aschendorff; S Arndt; F Hassepass; T Wesarg; R Laszig; R Beck
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-12-14       Impact factor: 2.503

6.  Auditory Detection Thresholds and Cochlear Resistivity Differ Between Pediatric Cochlear Implant Listeners With Enlarged Vestibular Aqueduct and Those With Connexin-26 Mutations.

Authors:  Kelly N Jahn; Molly D Bergan; Julie G Arenberg
Journal:  Am J Audiol       Date:  2020-01-14       Impact factor: 1.493

7.  The Relationship Between Insertion Angles, Default Frequency Allocations, and Spiral Ganglion Place Pitch in Cochlear Implants.

Authors:  David M Landsberger; Maja Svrakic; J Thomas Roland; Mario Svirsky
Journal:  Ear Hear       Date:  2015 Sep-Oct       Impact factor: 3.570

8.  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

9.  Factors Influencing Speech Perception in Adults With a Cochlear Implant.

Authors:  Floris Heutink; Berit M Verbist; Willem-Jan van der Woude; Tamara J Meulman; Jeroen J Briaire; Johan H M Frijns; Priya Vart; Emmanuel A M Mylanus; Wendy J Huinck
Journal:  Ear Hear       Date:  2021 July/Aug       Impact factor: 3.562

10.  Insertion Depth for Optimized Positioning of Precurved Cochlear Implant Electrodes.

Authors:  Rueben A Banalagay; Robert F Labadie; Srijata Chakravorti; Jack H Noble
Journal:  Otol Neurotol       Date:  2020-09       Impact factor: 2.619

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