Literature DB >> 16230898

Audiometric predictions using stimulus-frequency otoacoustic emissions and middle ear measurements.

John C Ellison1, Douglas H Keefe.   

Abstract

OBJECTIVE: The goals of the study are to determine how well stimulus-frequency otoacoustic emissions (SFOAEs) identify hearing loss, classify hearing loss as mild or moderate-severe, and correlate with pure-tone thresholds in a population of adults with normal middle ear function. Other goals are to determine if middle ear function as assessed by wideband acoustic transfer function (ATF) measurements in the ear canal account for the variability in normal thresholds, and if the inclusion of ATFs improves the ability of SFOAEs to identify hearing loss and predict pure-tone thresholds.
DESIGN: The total suppressed SFOAE signal and its corresponding noise were recorded in 85 ears (22 normal ears and 63 ears with sensorineural hearing loss) at octave frequencies from 0.5 to 8 kHz, using a nonlinear residual method. SFOAEs were recorded a second time in three impaired ears to assess repeatability. Ambient-pressure ATFs were obtained in all but one of these 85 ears and were also obtained from an additional 31 normal-hearing subjects in whom SFOAE data were not obtained. Pure-tone air and bone conduction thresholds and 226-Hz tympanograms were obtained on all subjects. Normal tympanometry and the absence of air-bone gaps were used to screen subjects for normal middle ear function. Clinical decision theory was used to assess the performance of SFOAE and ATF predictors in classifying ears as normal or impaired, and linear regression analysis was used to test the ability of SFOAE and ATF variables to predict the air conduction audiogram.
RESULTS: The ability of SFOAEs to classify ears as normal or hearing impaired was significant at all test frequencies. The ability of SFOAEs to classify impaired ears as either mild or moderate-severe was significant at test frequencies from 0.5 to 4 kHz. SFOAEs were present in cases of severe hearing loss. SFOAEs were also significantly correlated with air conduction thresholds from 0.5 to 8 kHz. The best performance occurred with the use of the SFOAE signal-to-noise ratio as the predictor, and the overall best performance was at 2 kHz. The SFOAE signal-to-noise measures were repeatable to within 3.5 dB in impaired ears. The ATF measures explained up to 25% of the variance in the normal audiogram; however, ATF measures did not improve SFOAEs predictors of hearing loss except at 4 kHz.
CONCLUSIONS: In common with other OAE types, SFOAEs are capable of identifying the presence of hearing loss. In particular, SFOAEs performed better than distortion-product and click-evoked OAEs in predicting auditory status at 0.5 kHz; SFOAE performance was similar to that of other OAE types at higher frequencies except for a slight performance reduction at 4 kHz. Because SFOAEs were detected in ears with mild to severe cases of hearing loss, they may also provide an estimate of the classification of hearing loss. Although SFOAEs were significantly correlated with hearing threshold, they do not appear to have clinical utility in predicting a specific behavioral threshold. Information on middle ear status as assessed by ATF measures offered minimal improvement in SFOAE predictions of auditory status in a population of normal and impaired ears with normal middle ear function. However, ATF variables did explain a significant fraction of the variability in the audiograms of normal ears, suggesting that audiometric thresholds in normal ears are partially constrained by middle ear function as assessed by ATF tests.

Entities:  

Mesh:

Year:  2005        PMID: 16230898      PMCID: PMC1768344          DOI: 10.1097/01.aud.0000179692.81851.3b

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  51 in total

1.  Distortion product otoacoustic emission test performance when both 2f1-f2 and 2f2-f1 are used to predict auditory status.

Authors:  M P Gorga; K Nelson; T Davis; P A Dorn; S T Neely
Journal:  J Acoust Soc Am       Date:  2000-04       Impact factor: 1.840

2.  Correspondence amongst microstructure patterns observed in otoacoustic emissions and Békésy audiometry.

Authors:  M E Lutman; J Deeks
Journal:  Audiology       Date:  1999 Sep-Oct

3.  Energy transmittance predicts conductive hearing loss in older children and adults.

Authors:  Douglas H Keefe; Jeffrey L Simmons
Journal:  J Acoust Soc Am       Date:  2003-12       Impact factor: 1.840

4.  Otoacoustic emissions without somatic motility: can stereocilia mechanics drive the mammalian cochlea?

Authors:  M C Liberman; Jian Zuo; J J Guinan
Journal:  J Acoust Soc Am       Date:  2004-09       Impact factor: 1.840

5.  Age effects in the human middle ear: wideband acoustical measures.

Authors:  M Patrick Feeney; Chris A Sanford
Journal:  J Acoust Soc Am       Date:  2004-12       Impact factor: 1.840

6.  Sources of DPOAEs revealed by suppression experiments, inverse fast Fourier transforms, and SFOAEs in impaired ears.

Authors:  Dawn Konrad-Martin; Stephen T Neely; Douglas H Keefe; Patricia A Dorn; Emily Cyr; Michael P Gorga
Journal:  J Acoust Soc Am       Date:  2002-04       Impact factor: 1.840

7.  Identification of neonatal hearing impairment: ear-canal measurements of acoustic admittance and reflectance in neonates.

Authors:  D H Keefe; R C Folsom; M P Gorga; B R Vohr; J C Bulen; S J Norton
Journal:  Ear Hear       Date:  2000-10       Impact factor: 3.570

8.  Bone conduction. Studies in experimental animals.

Authors:  J Tonndorf
Journal:  Acta Otolaryngol       Date:  1966       Impact factor: 1.494

9.  Revised estimates of human cochlear tuning from otoacoustic and behavioral measurements.

Authors:  Christopher A Shera; John J Guinan; Andrew J Oxenham
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-26       Impact factor: 11.205

10.  Ear-canal acoustic admittance and reflectance measurements in human neonates. II. Predictions of middle-ear in dysfunction and sensorineural hearing loss.

Authors:  Douglas H Keefe; Michael P Gorga; Stephen T Neely; Fei Zhao; Betty R Vohr
Journal:  J Acoust Soc Am       Date:  2003-01       Impact factor: 1.840

View more
  29 in total

1.  Cochlear Reflectance and Otoacoustic Emission Predictions of Hearing Loss.

Authors:  Stephen T Neely; Sara E Fultz; Judy G Kopun; Natalie M Lenzen; Daniel M Rasetshwane
Journal:  Ear Hear       Date:  2019 Jul/Aug       Impact factor: 3.570

2.  Wideband absorbance tympanometry using pressure sweeps: system development and results on adults with normal hearing.

Authors:  Yi-Wen Liu; Chris A Sanford; John C Ellison; Denis F Fitzpatrick; Michael P Gorga; Douglas H Keefe
Journal:  J Acoust Soc Am       Date:  2008-12       Impact factor: 1.840

3.  Use of stimulus-frequency otoacoustic emissions to investigate efferent and cochlear contributions to temporal overshoot.

Authors:  Douglas H Keefe; Kim S Schairer; John C Ellison; Denis F Fitzpatrick; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2009-03       Impact factor: 1.840

4.  Influence of stimulus parameters on amplitude-modulated stimulus frequency otoacoustic emissions.

Authors:  Tiffany A Johnson; Laura Beshaler
Journal:  J Acoust Soc Am       Date:  2013-08       Impact factor: 1.840

5.  Stimulus-frequency otoacoustic emission suppression tuning in humans: comparison to behavioral tuning.

Authors:  Karolina K Charaziak; Pamela Souza; Jonathan H Siegel
Journal:  J Assoc Res Otolaryngol       Date:  2013-09-07

6.  Detecting high-frequency hearing loss with click-evoked otoacoustic emissions.

Authors:  Douglas H Keefe; Shawn S Goodman; John C Ellison; Denis F Fitzpatrick; Michael P Gorga
Journal:  J Acoust Soc Am       Date:  2011-01       Impact factor: 1.840

7.  Towards a joint reflection-distortion otoacoustic emission profile: Results in normal and impaired ears.

Authors:  Carolina Abdala; Radha Kalluri
Journal:  J Acoust Soc Am       Date:  2017-08       Impact factor: 1.840

8.  Relationship Between Behavioral and Stimulus Frequency Otoacoustic Emissions Delay-Based Tuning Estimates.

Authors:  Uzma Shaheen Wilson; Jenna Browning-Kamins; Sriram Boothalingam; Arturo Moleti; Renata Sisto; Sumitrajit Dhar
Journal:  J Speech Lang Hear Res       Date:  2020-05-28       Impact factor: 2.297

9.  Assessing Sensorineural Hearing Loss Using Various Transient-Evoked Otoacoustic Emission Stimulus Conditions.

Authors:  Daniel B Putterman; Douglas H Keefe; Lisa L Hunter; Angela C Garinis; Denis F Fitzpatrick; Garnett P McMillan; M Patrick Feeney
Journal:  Ear Hear       Date:  2017 Jul/Aug       Impact factor: 3.570

10.  Wideband acoustic-reflex test in a test battery to predict middle-ear dysfunction.

Authors:  Douglas H Keefe; Denis Fitzpatrick; Yi-Wen Liu; Chris A Sanford; Michael P Gorga
Journal:  Hear Res       Date:  2009-09-20       Impact factor: 3.208

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.