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当使用2f1-f2和2f2-f1来预测听觉状态时畸变产物耳声发射测试的性能。

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

作者信息

Gorga M P, Nelson K, Davis T, Dorn P A, Neely S T

机构信息

Boys Town National Research Hospital, Omaha, Nebraska 68131, USA.

出版信息

J Acoust Soc Am. 2000 Apr;107(4):2128-35. doi: 10.1121/1.428494.

Abstract

The objective of this study was to determine whether distortion product otoacoustic emission (DPOAE) test performance, defined as its ability to distinguish normal-hearing ears from those with hearing loss, can be improved by examining response and noise amplitudes at 2 f1-f2 and 2f2-f1 simultaneously. In addition, there was interest in knowing whether measurements at both DPs and for several primary frequency pairs can be used in a multivariate analysis to further optimize test performance. DPOAE and noise amplitudes were measured at 2f1-f2 and 2 f2-f1 for 12 primary levels (L2 from 10 to 65 dB SPL in 5-dB steps) and 9 pairs of primary frequencies (0.5 to 8 kHz in 1/2-octave steps). All data were collected in a sound-treated room from 70 subjects with normal hearing and 80 subjects with hearing loss. Subjects had normal middle-ear function at the time of the DPOAE test, based on standard tympanometric measurements. Measurement-based stopping rules were used such that the test terminated when the noise floor around the 2 f1-f2 DP was < or = -30 dB SPL or after 32 s of artifact-free averaging, whichever occurred first. Data were analyzed using clinical decision theory in which relative operating characteristics (ROC) curves were constructed and areas under the ROC curves were estimated. In addition, test performance was assessed by selecting the criterion value that resulted in a sensitivity of 90% and determining the specificity at that criterion value. Data were analyzed using traditional univariate comparisons, in which predictions about auditory status were based only on data obtained when f2 = audiometric frequency. In addition, multivariate analysis techniques were used to determine whether test performance can be optimized by using many variables to predict auditory status. As expected, DPOAEs were larger for 2f1-f2 compared to 2 f2-f1 in subjects with normal hearing. However, noise amplitudes were smaller for 2f2-f1, but this effect was restricted to the lowest f2 frequencies. A comparison of signal-to-noise ratios (SNR) within normal-hearing ears showed that the 2f1-f2 DP was more frequently characterized by larger SNRs compared to 2f2-f1. However, there were several subjects in whom 2f2-f1 produced a larger SNR. ROC curve areas and specificities for a fixed sensitivity increased only slightly when data from both DPs were used to predict auditory status. Multivariate analyses, in which the inputs included both DPs for several primary frequency pairs surrounding each audiometric frequency, produced the highest areas and specificities. Thus, DPOAE test performance was improved slightly by examining data at two DP frequencies simultaneously. This improvement was achieved at no additional cost in terms of test time. When measurements at both DPs were combined with data obtained for several primary frequency pairs and then analyzed in a multivariate context, the best test performance was achieved. Excellent test performance (ROC) curve areas >0.95% and specificities >92% at all frequencies, including 500 Hz, were achieved for these conditions. Although the results described should be validated on an independent set of data, they suggest that the accuracy with which DPOAE measurements identify auditory status can be improved with multivariate analyses and measurements at multiple DPs.

摘要

本研究的目的是确定畸变产物耳声发射(DPOAE)测试性能(定义为区分正常听力耳朵与听力损失耳朵的能力)是否可以通过同时检查2f1 - f2和2f2 - f1处的响应和噪声幅度来提高。此外,还想了解在多个DPOAE以及几个主要频率对处的测量是否可用于多变量分析,以进一步优化测试性能。在12个主要声压级(L2从10到65 dB SPL,以5 dB步长)和9对主要频率(从0.5到8 kHz,以1/2倍频程步长)下测量了2f1 - f2和2f2 - f1处的DPOAE和噪声幅度。所有数据均在隔音室内从70名听力正常的受试者和80名听力损失的受试者中收集。根据标准鼓室图测量,受试者在进行DPOAE测试时中耳功能正常。采用基于测量的停止规则,即当2f1 - f2 DPOAE周围的本底噪声≤ - 30 dB SPL或在32秒无伪迹平均后,测试终止,以先发生者为准。使用临床决策理论进行数据分析,构建相对操作特征(ROC)曲线并估计ROC曲线下的面积。此外,通过选择导致灵敏度为90%的标准值并确定该标准值下的特异性来评估测试性能。使用传统的单变量比较进行数据分析,其中关于听觉状态的预测仅基于f2 =听力计频率时获得的数据。此外,使用多变量分析技术来确定是否可以通过使用多个变量预测听觉状态来优化测试性能。正如预期的那样,听力正常的受试者中,2f1 - f2处的DPOAE比2f2 - f1处的更大。然而,2f2 - f1处的噪声幅度较小,但这种效应仅限于最低的f2频率。正常听力耳朵内的信噪比(SNR)比较表明,与2f2 - f1相比,2f1 - f2 DPOAE更常具有更大的SNR。然而,有几个受试者2f2 - f1产生了更大的SNR。当使用两个DPOAE的数据预测听觉状态时,固定灵敏度下的ROC曲线面积和特异性仅略有增加。多变量分析中,输入包括围绕每个听力计频率的几个主要频率对的两个DPOAE,产生了最高的面积和特异性。因此,通过同时检查两个DPOAE频率的数据,DPOAE测试性能略有提高。在测试时间方面没有额外成本的情况下实现了这种改进。当两个DPOAE的测量值与几个主要频率对获得的数据相结合,然后在多变量背景下进行分析时,实现了最佳测试性能。在这些条件下,包括500 Hz在内的所有频率均实现了出色的测试性能(ROC曲线面积>0.95%,特异性>92%)。尽管所描述的结果应在独立数据集上进行验证,但它们表明通过多变量分析和多个DPOAE测量可以提高DPOAE测量识别听觉状态的准确性。

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