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使用全景电刺激听觉脑干反应(ECAP)方法评估人工耳蜗使用者的阵列类型差异。

Assessing Array-Type Differences in Cochlear Implant Users Using the Panoramic ECAP Method.

作者信息

Garcia Charlotte, Carlyon Robert P

机构信息

Cambridge Hearing Group, Medical Research Council Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.

出版信息

Ear Hear. 2025 May 22. doi: 10.1097/AUD.0000000000001673.

DOI:10.1097/AUD.0000000000001673
PMID:40400053
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7617747/
Abstract

OBJECTIVES

Cochlear implant companies manufacture devices with different electrode array types. Some arrays have a straight geometry designed for minimal neuronal trauma, while others are precurved and designed to position the electrodes closer to the cochlear neurons. Due to their differing geometries, it is possible that the arrays are not only positioned differently inside the cochlea but also produce different patterns of the spread of current and of neural excitation. The panoramic electrically evoked compound action potential method (PECAP) provides detailed estimates of peripheral neural responsiveness and current spread for individual patients along the length of the cochlea. These estimates were assessed as a function of electrode position and array type, providing a normative dataset useful for identifying unusual patterns in individual patients.

DESIGN

ECAPs were collected from cochlear implant users using the forward-masking artifact-reduction technique for every combination of masker and probe electrode at the most comfortable level. Data were available for 91 ears using Cochlear devices, and 53 ears using Advanced Bionics devices. The Cochlear users had straight arrays (Slim Straight, CI-22 series, n = 35), or 1 of 2 precurved arrays (Contour Advance, CI-12 series, n = 43, or Slim Modiolar, CI-32 series, n = 13). Computed tomography scans were also available for 41 of them, and electrode-modiolus distances were calculated. The Advanced Bionics users had 1 of 2 straight arrays (1J, n = 9 or SlimJ, n = 20), or precurved arrays (Helix, n = 4 or Mid-Scala, n = 20). The ECAPs were submitted to the PECAP algorithm to estimate current spread and neural responsiveness along the length of the electrode array for each user. A linear mixed-effects model was used to determine whether there were statistically significant differences between different array types and/or for different electrodes, both for the PECAP estimates of current spread and neural responsiveness, as well as for the available electrode-modiolus distances. Correlations were also conducted between PECAP's estimate of current spread and the electrode-modiolus distances.

RESULTS

For Cochlear users, significant effects of array type (p = 0.001) and of electrode (p < 0.001) were found on the PECAP's current-spread estimate, as well as a significant interaction (p = 0.006). Slim Straight arrays had a wider overall current spread than both the precurved arrays (Contour Advance and Slim Modiolar). The interaction revealed the strongest effect at the apex. A significant correlation between PECAP's current-spread estimate and the electrode-modiolus distances was also found across subjects (r = 0.516, p < 0.001). No effect of array type was found on PECAP's estimate of current spread for the Advanced Bionics users (p = 0.979).

CONCLUSIONS

These results suggest that for users of the Cochlear device, precurved electrode arrays show narrower current spread within the cochlea than those with lateral-wall electrode arrays, with the strongest effect present at the apex. No corresponding effects of array type were found in the Advanced Bionics device. This could have implications for device selection in clinical settings, although the authors underscore that this is a post-hoc analysis and does not demonstrate a causal link wherein device selection can be expected to give rise to specific neural excitation patterns.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb45/12352562/0973b50a2ff8/aud-46-1355-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb45/12352562/0973b50a2ff8/aud-46-1355-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb45/12352562/960f8b46815b/aud-46-1355-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb45/12352562/86d35027a0a6/aud-46-1355-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb45/12352562/0973b50a2ff8/aud-46-1355-g007.jpg
摘要

目的

人工耳蜗公司生产的设备具有不同类型的电极阵列。一些阵列具有直线型几何形状,旨在将神经元损伤降至最低,而其他阵列则是预弯曲的,旨在使电极更靠近耳蜗神经元。由于它们的几何形状不同,这些阵列不仅在耳蜗内的位置可能不同,而且还会产生不同的电流传播和神经兴奋模式。全景电诱发复合动作电位方法(PECAP)可详细估计个体患者沿耳蜗长度的外周神经反应性和电流传播情况。这些估计值根据电极位置和阵列类型进行评估,提供了一个规范数据集,有助于识别个体患者的异常模式。

设计

使用前掩蔽伪迹减少技术,在最舒适的水平下,针对每个掩蔽电极和探测电极的组合,从人工耳蜗使用者中收集ECAP。有91只使用科利耳公司设备的耳朵和53只使用先进生物科技公司设备的耳朵的数据可用。使用科利耳设备的使用者有直线阵列(超薄直线型,CI - 22系列,n = 35),或两种预弯曲阵列之一(轮廓进阶型,CI - 12系列,n = 43,或超薄蜗轴型,CI - 32系列,n = 13)。其中41人的计算机断层扫描也可用,并计算了电极与蜗轴的距离。使用先进生物科技公司设备的使用者有两种直线阵列之一(1J,n = 9或超薄J型,n = 20),或预弯曲阵列(螺旋型, n = 4或中阶型, n = 20)。将ECAP提交给PECAP算法,以估计每个使用者沿电极阵列长度的电流传播和神经反应性。使用线性混合效应模型来确定不同阵列类型之间和/或不同电极之间,在PECAP对电流传播和神经反应性的估计以及可用的电极与蜗轴距离方面是否存在统计学上的显著差异。还对PECAP对电流传播的估计与电极与蜗轴距离之间进行了相关性分析。

结果

对于使用科利耳设备的使用者,在PECAP对电流传播的估计中发现了阵列类型(p = 0.001)和电极(p < 0.001)的显著影响,以及显著的交互作用(p = 0.006)。超薄直线型阵列的总体电流传播比两种预弯曲阵列(轮廓进阶型和超薄蜗轴型)都更宽。交互作用在蜗顶处显示出最强的影响。在所有受试者中,还发现PECAP对电流传播的估计与电极与蜗轴距离之间存在显著相关性(r = 0.516,p < 0.001)。对于使用先进生物科技公司设备的使用者,未发现阵列类型对PECAP对电流传播的估计有影响(p = 0.979)。

结论

这些结果表明,对于使用科利耳设备的使用者,预弯曲电极阵列在耳蜗内的电流传播比侧壁电极阵列更窄,在蜗顶处的影响最强。在先进生物科技公司的设备中未发现阵列类型的相应影响。这可能对临床环境中的设备选择有影响,尽管作者强调这是一项事后分析,并未证明存在因果关系,即不能期望设备选择会产生特定的神经兴奋模式。

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