A Predictive Model for Cochlear Implant Outcome in Children with Cochlear Nerve Deficiency

Jae Joon Han, Myung Whan Suh, Moo Kyun Park, Ja Won Koo, Jun Ho Lee, Seung Ha Oh

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The outcome of cochlear implantation (CI) in patients with cochlear nerve deficiency (CND) is variable, resulting in a wide range of speech perception performance, from degrees of environmental sound perception to conversation without lip-reading. Twenty-five cochlear implantees with CND were enrolled retrospectively to determine the factors correlated with CI outcome in patients with CND and to develop a predictive model for CI outcome. CI outcome was evaluated using the Categories of Auditory Performance (CAP) score at 2 years after CI. Patients with negative auditory brainstem response (ABR) showed a significantly lower CAP score than those with positive ABR (2.5 ± 1.7, 4.8 ± 0.7; p = 0.001). The area ratio of vestibulocochlear nerve (VCN) to facial nerve (FN) at the cerebellopontine angle on magnetic resonance images was positively correlated with CI outcome (p < 0.001). With multiple regression analysis, a predictive equation accounting for 66% of variance of CAP score at 2 years after CI was deduced:CAPscore=0.7+1.9∗(ABR)+1.2∗(VCNFN). We found that preoperative ABR and area ratio of VCN to FN at the cerebellopontine angle could predict CI outcome in patients with CND. Preoperative counselling based on our predictive model might be helpful to determine treatment modality for auditory rehabilitation and which ear to implant.

Original languageEnglish
Article number1154
JournalScientific Reports
Volume9
Issue number1
DOIs
StatePublished - 1 Dec 2019

Fingerprint

Cochlear Implantation
Cochlear Nerve
Cochlear Implants
Brain Stem Auditory Evoked Potentials
Vestibulocochlear Nerve
Cerebellopontine Angle
Facial Nerve
Lipreading
Speech Perception
Cochlea
Ear
Counseling
Magnetic Resonance Spectroscopy
Rehabilitation
Regression Analysis

Cite this

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title = "A Predictive Model for Cochlear Implant Outcome in Children with Cochlear Nerve Deficiency",
abstract = "The outcome of cochlear implantation (CI) in patients with cochlear nerve deficiency (CND) is variable, resulting in a wide range of speech perception performance, from degrees of environmental sound perception to conversation without lip-reading. Twenty-five cochlear implantees with CND were enrolled retrospectively to determine the factors correlated with CI outcome in patients with CND and to develop a predictive model for CI outcome. CI outcome was evaluated using the Categories of Auditory Performance (CAP) score at 2 years after CI. Patients with negative auditory brainstem response (ABR) showed a significantly lower CAP score than those with positive ABR (2.5 ± 1.7, 4.8 ± 0.7; p = 0.001). The area ratio of vestibulocochlear nerve (VCN) to facial nerve (FN) at the cerebellopontine angle on magnetic resonance images was positively correlated with CI outcome (p < 0.001). With multiple regression analysis, a predictive equation accounting for 66{\%} of variance of CAP score at 2 years after CI was deduced:CAPscore=0.7+1.9∗(ABR)+1.2∗(VCNFN). We found that preoperative ABR and area ratio of VCN to FN at the cerebellopontine angle could predict CI outcome in patients with CND. Preoperative counselling based on our predictive model might be helpful to determine treatment modality for auditory rehabilitation and which ear to implant.",
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A Predictive Model for Cochlear Implant Outcome in Children with Cochlear Nerve Deficiency. / Han, Jae Joon; Suh, Myung Whan; Park, Moo Kyun; Koo, Ja Won; Lee, Jun Ho; Oh, Seung Ha.

In: Scientific Reports, Vol. 9, No. 1, 1154, 01.12.2019.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Han, Jae Joon

AU - Suh, Myung Whan

AU - Park, Moo Kyun

AU - Koo, Ja Won

AU - Lee, Jun Ho

AU - Oh, Seung Ha

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