Literature DB >> 26756157

Initial Results With Image-guided Cochlear Implant Programming in Children.

Jack H Noble1, Andrea J Hedley-Williams, Linsey Sunderhaus, Benoit M Dawant, Robert F Labadie, Stephen M Camarata, René H Gifford.   

Abstract

HYPOTHESIS: Image-guided cochlear implant (CI) programming can improve hearing outcomes for pediatric CI recipients.
BACKGROUND: CIs have been highly successful for children with severe-to-profound hearing loss, offering potential for mainstreamed education and auditory-oral communication. Despite this, a significant number of recipients still experience poor speech understanding, language delay, and, even among the best performers, restoration to normal auditory fidelity is rare. Although significant research efforts have been devoted to improving stimulation strategies, few developments have led to significant hearing improvement over the past two decades. Recently introduced techniques for image-guided CI programming (IGCIP) permit creating patient-customized CI programs by making it possible, for the first time, to estimate the position of implanted CI electrodes relative to the nerves they stimulate using CT images. This approach permits identification of electrodes with high levels of stimulation overlap and to deactivate them from a patient's map. Previous studies have shown that IGCIP can significantly improve hearing outcomes for adults with CIs.
METHODS: The IGCIP technique was tested for 21 ears of 18 pediatric CI recipients. Participants had long-term experience with their CI (5 mo to 13 yr) and ranged in age from 5 to 17 years old. Speech understanding was assessed after approximately 4 weeks of experience with the IGCIP map.
RESULTS: Using a two-tailed Wilcoxon signed-rank test, statistically significant improvement (p < 0.05) was observed for word and sentence recognition in quiet and noise, as well as pediatric self-reported quality-of-life (QOL) measures.
CONCLUSION: Our results indicate that image guidance significantly improves hearing and QOL outcomes for pediatric CI recipients.

Entities:  

Mesh:

Year:  2016        PMID: 26756157      PMCID: PMC4849538          DOI: 10.1097/MAO.0000000000000909

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  37 in total

1.  Electrical field interactions in different cochlear implant systems.

Authors:  Colette Boëx; Chloé de Balthasar; Maria-Izabel Kós; Marco Pelizzone
Journal:  J Acoust Soc Am       Date:  2003-10       Impact factor: 1.840

2.  Noise susceptibility of cochlear implant users: the role of spectral resolution and smearing.

Authors:  Qian-Jie Fu; Geraldine Nogaki
Journal:  J Assoc Res Otolaryngol       Date:  2005-04-22

3.  Frequency map for the human cochlear spiral ganglion: implications for cochlear implants.

Authors:  Olga Stakhovskaya; Divya Sridhar; Ben H Bonham; Patricia A Leake
Journal:  J Assoc Res Otolaryngol       Date:  2007-02-21

4.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

5.  Clinical assessment of spectral modulation detection for adult cochlear implant recipients: a non-language based measure of performance outcomes.

Authors:  René H Gifford; Andrea Hedley-Williams; Anthony J Spahr
Journal:  Int J Audiol       Date:  2014-01-23       Impact factor: 2.117

6.  Group amplification in schools for the hearing impaired.

Authors:  F H Bess; J S Sinclair; D E Riggs
Journal:  Ear Hear       Date:  1984 May-Jun       Impact factor: 3.570

7.  Speech-discrimination scores modeled as a binomial variable.

Authors:  A R Thornton; M J Raffin
Journal:  J Speech Hear Res       Date:  1978-09

8.  The age at which young deaf children receive cochlear implants and their vocabulary and speech-production growth: is there an added value for early implantation?

Authors:  Carol McDonald Connor; Holly K Craig; Stephen W Raudenbush; Krista Heavner; Teresa A Zwolan
Journal:  Ear Hear       Date:  2006-12       Impact factor: 3.570

9.  Psychophysical and physiological measures of electrical-field interaction in cochlear implants.

Authors:  Michelle L Hughes; Lisa J Stille
Journal:  J Acoust Soc Am       Date:  2009-01       Impact factor: 1.840

10.  The developing constraints on parsing decisions: the role of lexical-biases and referential scenes in child and adult sentence processing.

Authors:  Jesse Snedeker; John C Trueswell
Journal:  Cogn Psychol       Date:  2004-11       Impact factor: 3.468

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  29 in total

1.  Atlas-based segmentation of cochlear microstructures in cone beam CT.

Authors:  Kimerly A Powell; Gregory J Wiet; Brad Hittle; Grace I Oswald; Jason P Keith; Don Stredney; Steven Arild Wuyts Andersen
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-02-13       Impact factor: 2.924

2.  Automatic localization of landmark sets in head CT images with regression forests for image registration initialization.

Authors:  Dongqing Zhang; Yuan Liu; Jack H Noble; Benoit M Dawant
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-21

3.  Selecting electrode configurations for image-guided cochlear implant programming using template matching.

Authors:  Dongqing Zhang; Yiyuan Zhao; Jack H Noble; Benoit M Dawant
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-11

4.  Localizing landmark sets in head CTs using random forests and a heuristic search algorithm for registration initialization.

Authors:  Dongqing Zhang; Yuan Liu; Jack H Noble; Benoit M Dawant
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-08

5.  Validation of automatic cochlear implant electrode localization techniques using μ CTs.

Authors:  Yiyuan Zhao; Robert F Labadie; Benoit M Dawant; Jack H Noble
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-24

6.  Two-level Training of a 3d U-Net for Accurate Segmentation of the Intra-cochlear Anatomy in Head CTs with Limited Ground Truth Training Data.

Authors:  Dongqing Zhang; Rueben Banalagay; Jianing Wang; Yiyuan Zhao; Jack H Noble; Benoit M Dawant
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-15

7.  Further Evidence of the Relationship Between Cochlear Implant Electrode Positioning and Hearing Outcomes.

Authors:  Srijata Chakravorti; Jack H Noble; René H Gifford; Benoit M Dawant; Brendan P O'Connell; Jianing Wang; Robert F Labadie
Journal:  Otol Neurotol       Date:  2019-06       Impact factor: 2.311

8.  Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models.

Authors:  Ziteng Liu; Ahmet Cakir; Jack H Noble
Journal:  Simul Synth Med Imaging       Date:  2020-09-23

9.  HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs.

Authors:  Dongqing Zhang; Jianing Wang; Jack H Noble; Benoit M Dawant
Journal:  Med Image Anal       Date:  2020-01-28       Impact factor: 8.545

10.  Evaluation of Rigid Cochlear Models for Measuring Cochlear Implant Electrode Position.

Authors:  Ahmet Cakir; Robert F Labadie; M Geraldine Zuniga; Benoit M Dawant; Jack H Noble
Journal:  Otol Neurotol       Date:  2016-12       Impact factor: 2.311

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