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Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears

Today, the standard method to predict output levels of active middle ear implants (AMEIs) before clinical data are available is stapes vibration measurement in human cadaveric ears, according to ASTM standard F2504-05. Although this procedure is well established, the validity of the predicted output...

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Autores principales: Grossöhmichen, Martin, Waldmann, Bernd, Salcher, Rolf, Prenzler, Nils, Lenarz, Thomas, Maier, Hannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696479/
https://www.ncbi.nlm.nih.gov/pubmed/29158536
http://dx.doi.org/10.1038/s41598-017-16107-9
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author Grossöhmichen, Martin
Waldmann, Bernd
Salcher, Rolf
Prenzler, Nils
Lenarz, Thomas
Maier, Hannes
author_facet Grossöhmichen, Martin
Waldmann, Bernd
Salcher, Rolf
Prenzler, Nils
Lenarz, Thomas
Maier, Hannes
author_sort Grossöhmichen, Martin
collection PubMed
description Today, the standard method to predict output levels of active middle ear implants (AMEIs) before clinical data are available is stapes vibration measurement in human cadaveric ears, according to ASTM standard F2504-05. Although this procedure is well established, the validity of the predicted output levels has never been demonstrated clinically. Furthermore, this procedure requires a mobile and visually accessible stapes and an AMEI stimulating the ossicular chain. Thus, an alternative method is needed to quantify the output level of AMEIs in all other stimulation modes, e.g. reverse stimulation of the round window. Intracochlear pressure difference (ICPD) is a good candidate for such a method as it correlates with evoked potentials in animals and it is measurable in cadaveric ears. To validate this method we correlated AMEI output levels calculated from ICPD and from stapes vibration in cadaveric ears with outputs levels determined from clinical data. Output levels calculated from ICPD were similar to output levels calculated from stapes vibration and almost identical to clinical data. Our results demonstrate that both ICPD and stapes vibration can be used as a measure to predict AMEI clinical output levels in cadaveric ears and that ICPD as reference provided even more accurate results.
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spelling pubmed-56964792017-11-29 Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears Grossöhmichen, Martin Waldmann, Bernd Salcher, Rolf Prenzler, Nils Lenarz, Thomas Maier, Hannes Sci Rep Article Today, the standard method to predict output levels of active middle ear implants (AMEIs) before clinical data are available is stapes vibration measurement in human cadaveric ears, according to ASTM standard F2504-05. Although this procedure is well established, the validity of the predicted output levels has never been demonstrated clinically. Furthermore, this procedure requires a mobile and visually accessible stapes and an AMEI stimulating the ossicular chain. Thus, an alternative method is needed to quantify the output level of AMEIs in all other stimulation modes, e.g. reverse stimulation of the round window. Intracochlear pressure difference (ICPD) is a good candidate for such a method as it correlates with evoked potentials in animals and it is measurable in cadaveric ears. To validate this method we correlated AMEI output levels calculated from ICPD and from stapes vibration in cadaveric ears with outputs levels determined from clinical data. Output levels calculated from ICPD were similar to output levels calculated from stapes vibration and almost identical to clinical data. Our results demonstrate that both ICPD and stapes vibration can be used as a measure to predict AMEI clinical output levels in cadaveric ears and that ICPD as reference provided even more accurate results. Nature Publishing Group UK 2017-11-20 /pmc/articles/PMC5696479/ /pubmed/29158536 http://dx.doi.org/10.1038/s41598-017-16107-9 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
Grossöhmichen, Martin
Waldmann, Bernd
Salcher, Rolf
Prenzler, Nils
Lenarz, Thomas
Maier, Hannes
Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
title Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
title_full Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
title_fullStr Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
title_full_unstemmed Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
title_short Validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
title_sort validation of methods for prediction of clinical output levels of active middle ear implants from measurements in human cadaveric ears
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696479/
https://www.ncbi.nlm.nih.gov/pubmed/29158536
http://dx.doi.org/10.1038/s41598-017-16107-9
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