Manuel Don1, Claus Elberling, Erin Maloff. 1. Electrophysiology Department, House Ear Institute, 2100 West Third Street, Fifth Floor, Los Angeles, CA 90057, USA. mdon@hei.org
Abstract
BACKGROUND: The Stacked ABR (auditory brainstem response) attempts at the output of the auditory periphery to compensate for the temporal dispersion of neural activation caused by the cochlear traveling wave in response to click stimulation. Compensation can also be made at the input by using a chirp stimulus. It has been demonstrated that the Stacked ABR is sensitive to small tumors that are often missed by standard ABR latency measures. PURPOSE: Because a chirp stimulus requires only a single data acquisition run whereas the Stacked ABR requires six, we try to evaluate some indirect evidence justifying the use of a chirp for small tumor detection. RESEARCH DESIGN: We compared the sensitivity and specificity of different Stacked ABRs formed by aligning the derived-band ABRs according to (1) the individual's peak latencies, (2) the group mean latencies, and (3) the modeled latencies used to develop a chirp. RESULTS: For tumor detection with a chosen sensitivity of 95%, a relatively high specificity of 85% may be achieved with a chirp. CONCLUSION: It appears worthwhile to explore the actual use of a chirp because significantly shorter test and analysis times might be possible.
BACKGROUND: The Stacked ABR (auditory brainstem response) attempts at the output of the auditory periphery to compensate for the temporal dispersion of neural activation caused by the cochlear traveling wave in response to click stimulation. Compensation can also be made at the input by using a chirp stimulus. It has been demonstrated that the Stacked ABR is sensitive to small tumors that are often missed by standard ABR latency measures. PURPOSE: Because a chirp stimulus requires only a single data acquisition run whereas the Stacked ABR requires six, we try to evaluate some indirect evidence justifying the use of a chirp for small tumor detection. RESEARCH DESIGN: We compared the sensitivity and specificity of different Stacked ABRs formed by aligning the derived-band ABRs according to (1) the individual's peak latencies, (2) the group mean latencies, and (3) the modeled latencies used to develop a chirp. RESULTS: For tumor detection with a chosen sensitivity of 95%, a relatively high specificity of 85% may be achieved with a chirp. CONCLUSION: It appears worthwhile to explore the actual use of a chirp because significantly shorter test and analysis times might be possible.