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Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method
Cochlear size and morphology vary greatly and may influence the course of a cochlear implant electrode array during insertion and its final intra-cochlear position. Detailed insight into these variations is valuable for characterizing each cochlea and offers the opportunity to study possible correla...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730551/ https://www.ncbi.nlm.nih.gov/pubmed/29242508 http://dx.doi.org/10.1038/s41598-017-16126-6 |
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author | Jagt, Annerie M. A. van der Kalkman, Randy K. Briaire, Jeroen J. Verbist, Berit M. Frijns, Johan H. M. |
author_facet | Jagt, Annerie M. A. van der Kalkman, Randy K. Briaire, Jeroen J. Verbist, Berit M. Frijns, Johan H. M. |
author_sort | Jagt, Annerie M. A. van der |
collection | PubMed |
description | Cochlear size and morphology vary greatly and may influence the course of a cochlear implant electrode array during insertion and its final intra-cochlear position. Detailed insight into these variations is valuable for characterizing each cochlea and offers the opportunity to study possible correlations with surgical or speech perception outcomes. This study presents an automatic tracing method to assess individual cochlear duct shapes from clinical CT images. On pre-operative CT scans of 479 inner ears the cochlear walls were discriminated by interpolating voxel intensities along radial and perpendicular lines within multiplanar reconstructions at 1 degree intervals from the round window. In all 479 cochleas, the outer wall could be traced automatically up to 720 degrees. The inner wall and floor of the scala tympani in 192 cochleas. The shape of the cochlear walls were modelled using a logarithmic spiral function including an offset value. The vertical trajectories of the scala tympani exhibited a non-monotonous spiral slope with specific regions at risk for CI-related insertion trauma, and three slope categories could be distinguished. This presented automatic tracing method allows the detailed description of cochlear morphology and can be used for both individual and large cohort evaluation of cochlear implant patients. |
format | Online Article Text |
id | pubmed-5730551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57305512017-12-18 Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method Jagt, Annerie M. A. van der Kalkman, Randy K. Briaire, Jeroen J. Verbist, Berit M. Frijns, Johan H. M. Sci Rep Article Cochlear size and morphology vary greatly and may influence the course of a cochlear implant electrode array during insertion and its final intra-cochlear position. Detailed insight into these variations is valuable for characterizing each cochlea and offers the opportunity to study possible correlations with surgical or speech perception outcomes. This study presents an automatic tracing method to assess individual cochlear duct shapes from clinical CT images. On pre-operative CT scans of 479 inner ears the cochlear walls were discriminated by interpolating voxel intensities along radial and perpendicular lines within multiplanar reconstructions at 1 degree intervals from the round window. In all 479 cochleas, the outer wall could be traced automatically up to 720 degrees. The inner wall and floor of the scala tympani in 192 cochleas. The shape of the cochlear walls were modelled using a logarithmic spiral function including an offset value. The vertical trajectories of the scala tympani exhibited a non-monotonous spiral slope with specific regions at risk for CI-related insertion trauma, and three slope categories could be distinguished. This presented automatic tracing method allows the detailed description of cochlear morphology and can be used for both individual and large cohort evaluation of cochlear implant patients. Nature Publishing Group UK 2017-12-14 /pmc/articles/PMC5730551/ /pubmed/29242508 http://dx.doi.org/10.1038/s41598-017-16126-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jagt, Annerie M. A. van der Kalkman, Randy K. Briaire, Jeroen J. Verbist, Berit M. Frijns, Johan H. M. Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method |
title | Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method |
title_full | Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method |
title_fullStr | Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method |
title_full_unstemmed | Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method |
title_short | Variations in cochlear duct shape revealed on clinical CT images with an automatic tracing method |
title_sort | variations in cochlear duct shape revealed on clinical ct images with an automatic tracing method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730551/ https://www.ncbi.nlm.nih.gov/pubmed/29242508 http://dx.doi.org/10.1038/s41598-017-16126-6 |
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