Hyun Joon Shim1, Jong Ho Won, Il Joon Moon, Elizabeth S Anderson, Ward R Drennan, Nancy E McIntosh, Edward M Weaver, Jay T Rubinstein. 1. *Department of Otorhinolaryngology, Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea; †Department of Audiology and Speech Pathology, University of Tennessee Health Science Center, Knoxville, Tennessee, U.S.A.; ‡Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, Korea; §Virginia Merrill Bloedel Hearing Research Center, Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, U.S.A.; ∥Envoy Medical Corporation, St. Paul, Minnesota, U.S.A.; and ¶Comparative Effectiveness, Cost and Outcomes Research Center, Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, U.S.A.
Abstract
OBJECTIVE: To determine if unaided, non-linguistic psychoacoustic measures can be effective in evaluating cochlear implant (CI) candidacy. STUDY DESIGN: Prospective split-cohort study including predictor development subgroup and independent predictor validation subgroup. SETTING: Tertiary referral center. SUBJECTS: Fifteen subjects (28 ears) with hearing loss were recruited from patients visiting the University of Washington Medical Center for CI evaluation. METHODS: Spectral-ripple discrimination (using a 13-dB modulation depth) and temporal modulation detection using 10- and 100-Hz modulation frequencies were assessed with stimuli presented through insert earphones. Correlations between performance for psychoacoustic tasks and speech perception tasks were assessed. Receiver operating characteristic curve analysis was performed to estimate the optimal psychoacoustic score for CI candidacy evaluation in the development subgroup and then tested in an independent sample. RESULTS: Strong correlations were observed between spectral-ripple thresholds and both aided sentence recognition and unaided word recognition. Weaker relationships were found between temporal modulation detection and speech tests. Receiver operating characteristic curve analysis demonstrated that the unaided spectral-ripple discrimination shows a good sensitivity, specificity, positive predictive value, and negative predictive value compared to the current gold standard, aided sentence recognition. CONCLUSION: Results demonstrated that the unaided spectral-ripple discrimination test could be a promising tool for evaluating CI candidacy.
OBJECTIVE: To determine if unaided, non-linguistic psychoacoustic measures can be effective in evaluating cochlear implant (CI) candidacy. STUDY DESIGN: Prospective split-cohort study including predictor development subgroup and independent predictor validation subgroup. SETTING: Tertiary referral center. SUBJECTS: Fifteen subjects (28 ears) with hearing loss were recruited from patients visiting the University of Washington Medical Center for CI evaluation. METHODS: Spectral-ripple discrimination (using a 13-dB modulation depth) and temporal modulation detection using 10- and 100-Hz modulation frequencies were assessed with stimuli presented through insert earphones. Correlations between performance for psychoacoustic tasks and speech perception tasks were assessed. Receiver operating characteristic curve analysis was performed to estimate the optimal psychoacoustic score for CI candidacy evaluation in the development subgroup and then tested in an independent sample. RESULTS: Strong correlations were observed between spectral-ripple thresholds and both aided sentence recognition and unaided word recognition. Weaker relationships were found between temporal modulation detection and speech tests. Receiver operating characteristic curve analysis demonstrated that the unaided spectral-ripple discrimination shows a good sensitivity, specificity, positive predictive value, and negative predictive value compared to the current gold standard, aided sentence recognition. CONCLUSION: Results demonstrated that the unaided spectral-ripple discrimination test could be a promising tool for evaluating CI candidacy.
Authors: David L Horn; Daniel J Dudley; Kavita Dedhia; Kaibao Nie; Ward R Drennan; Jong Ho Won; Jay T Rubinstein; Lynne A Werner Journal: J Acoust Soc Am Date: 2017-01 Impact factor: 1.840
Authors: Ji Eun Choi; Sung Hwa Hong; Jong Ho Won; Hee-Sung Park; Young Sang Cho; Won-Ho Chung; Yang-Sun Cho; Il Joon Moon Journal: Sci Rep Date: 2016-10-12 Impact factor: 4.379
Authors: René H Gifford; Jack H Noble; Stephen M Camarata; Linsey W Sunderhaus; Robert T Dwyer; Benoit M Dawant; Mary S Dietrich; Robert F Labadie Journal: Trends Hear Date: 2018 Jan-Dec Impact factor: 3.496