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Main objective:
Compare the recognition of environmental sounds with an anatomy-based fitting and with a default fitting adult patients newly implanted with a MED-EL cochlear implant.
Secondary objectives:
Compare speech recognition in quiet with an anatomy-based fitting and with a default fitting in adult patients newly implanted with a MED-EL cochlear implant.
Compare speech recognition in noise with an anatomy-based fitting and with a default fitting in adult patients newly implanted with a MED-EL cochlear implant.
Full description
Introduction: Cochlear implantation allows the rehabilitation of profound bilateral deafness, restoring speech perception and verbal communication when the traditional hearing aid no longer provides satisfactory hearing gain. A cochlear implant includes an electrode array and its functioning is based on the principle of cochlear tonotopy: each electrode encodes a frequency spectrum according to its position in the cochlea (high frequencies are assigned to the basal electrodes and low frequencies to the apical electrodes). The cochlear implant thus breaks down the frequency spectrum into a number of frequency bands via bandpass filters corresponding to the number of electrodes in the implant. During the fitting these bands can be modified by the audiologist. The fitting software developed by the manufacturers proposed a default fitting with a lower limit between 100 and 250 Hz according to the brands and an upper limit of about 8500 Hz. The frequency bands assigned to each electrode follow a logarithmic scale with the high frequencies for the basal electrodes and the low frequencies for the apical electrodes. This distribution takes into account the number of active electrodes but does not take into account the anatomy and the natural cochlear tonotopy specific to each patient. Several studies have analyzed the anatomical variations of the cochlear dimensions: size of the cochlea and the ratio between the contact surfaces of the electrodes with the cochlea are variable from one patient to another. The insertion depth during surgery is also variable due to parameters related to the patients as well as to the operator, which seems to impact the understanding of speech in noise. Mathematical algorithms have recently been developed to estimate the cochlear tonotopy of each patient from a CT scan assessment. CT imaging of the implanted ear combined with 3D reconstruction software, provides cochlear length measurements Using this approach it is possible to measure the position of each electrode relative to the cochlear apex. Recently, MED-EL (Austria) has developed a new approach based on CT-scan and tuning of the frequencies associated with each electrode using anatomical information of position of the electrodes in the cochlea: this fitting is called anatomy-based fitting.
Main objective:
Compare the recognition of environmental sounds with an anatomy-based fitting and with a default fitting adult patients newly implanted with a MED-EL cochlear implant.
Secondary objectives:
Compare speech recognition in quiet with an anatomy-based fitting and with a default fitting in adult patients newly implanted with a MED-EL cochlear implant.
Compare speech recognition in noise with an anatomy-based fitting and with a default fitting in adult patients newly implanted with a MED-EL cochlear implant.
Plan of the study:
It is a prospective open monocentric randomized crossover study: measures will be done on the patient at 6 weeks and 12 weeks post-activation.
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17 participants in 2 patient groups
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Vincent Péan, PhD
Data sourced from clinicaltrials.gov
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