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实现人工耳蜗植入手术结果全面计算机模拟评估。

Towards a Complete In Silico Assessment of the Outcome of Cochlear Implantation Surgery.

机构信息

Department of Information and Communication Technologies, Universitat Pompeu Fabra, C/Roc Boronat 138, 08018, Barcelona, Spain.

Med-EL, Innsbruck, Austria.

出版信息

Mol Neurobiol. 2018 Jan;55(1):173-186. doi: 10.1007/s12035-017-0731-z.

DOI:10.1007/s12035-017-0731-z
PMID:28840488
Abstract

Cochlear implantation (CI) surgery is a very successful technique, performed on more than 300,000 people worldwide. However, since the challenge resides in obtaining an accurate surgical planning, computational models are considered to provide such accurate tools. They allow us to plan and simulate beforehand surgical procedures in order to maximally optimize surgery outcomes, and consequently provide valuable information to guide pre-operative decisions. The aim of this work is to develop and validate computational tools to completely assess the patient-specific functional outcome of the CI surgery. A complete automatic framework was developed to create and assess computationally CI models, focusing on the neural response of the auditory nerve fibers (ANF) induced by the electrical stimulation of the implant. The framework was applied to evaluate the effects of ANF degeneration and electrode intra-cochlear position on nerve activation. Results indicate that the intra-cochlear positioning of the electrode has a strong effect on the global performance of the CI. Lateral insertion provides better neural responses in case of peripheral process degeneration, and it is recommended, together with optimized intensity levels, in order to preserve the internal structures. Overall, the developed automatic framework provides an insight into the global performance of the implant in a patient-specific way. This enables to further optimize the functional performance and helps to select the best CI configuration and treatment strategy for a given patient.

摘要

人工耳蜗植入 (CI) 手术是一项非常成功的技术,已在全球范围内为超过 30 万人实施。然而,由于挑战在于获得准确的手术规划,因此计算模型被认为提供了这种准确的工具。它们允许我们事先规划和模拟手术程序,以最大限度地优化手术结果,并为术前决策提供有价值的信息。本工作的目的是开发和验证计算工具,以全面评估 CI 手术的患者特定功能结果。开发了一个完整的自动框架来创建和评估计算 CI 模型,重点是植入物电刺激引起的听神经纤维 (ANF) 的神经反应。该框架用于评估 ANF 退化和电极在耳蜗内位置对神经激活的影响。结果表明,电极在耳蜗内的位置对 CI 的整体性能有很大影响。在周边过程退化的情况下,侧向插入可提供更好的神经反应,因此建议与优化的强度水平一起使用,以保护内部结构。总的来说,所开发的自动框架以患者特定的方式提供了对植入物整体性能的深入了解。这使得可以进一步优化功能性能,并有助于为特定患者选择最佳的 CI 配置和治疗策略。

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本文引用的文献

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Validation of a Cochlear Implant Patient-Specific Model of the Voltage Distribution in a Clinical Setting.临床环境中人工耳蜗患者特定电压分布模型的验证
Front Bioeng Biotechnol. 2016 Nov 23;4:84. doi: 10.3389/fbioe.2016.00084. eCollection 2016.
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Intracochlear Position of Cochlear Implants Determined Using CT Scanning versus Fitting Levels: Higher Threshold Levels at Basal Turn.使用CT扫描与适配水平确定人工耳蜗的耳蜗内位置:蜗底转处阈值水平更高
Audiol Neurootol. 2016;21(1):54-67. doi: 10.1159/000442513. Epub 2016 Feb 18.
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Automatic Model Generation Framework for Computational Simulation of Cochlear Implantation.
用于临床头部CT和CBCT图像中精确且稳健地分割耳蜗内解剖结构的混合主动形状和深度学习方法。
J Med Imaging (Bellingham). 2021 Nov;8(6):064002. doi: 10.1117/1.JMI.8.6.064002. Epub 2021 Nov 24.
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Neural Tissue Degeneration in Rosenthal's Canal and Its Impact on Electrical Stimulation of the Auditory Nerve by Cochlear Implants: An Image-Based Modeling Study.罗斯恩塔尔氏管中的神经组织退化及其对人工耳蜗听觉神经电刺激的影响:基于图像的建模研究。
Int J Mol Sci. 2020 Nov 12;21(22):8511. doi: 10.3390/ijms21228511.
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High-resolution Imaging of the Human Cochlea through the Round Window by means of Optical Coherence Tomography.通过光相干断层扫描经圆窗对人耳蜗的高分辨率成像。
Sci Rep. 2019 Oct 3;9(1):14271. doi: 10.1038/s41598-019-50727-7.
6
A review of simulation applications in temporal bone surgery.颞骨手术中模拟应用的综述。
Laryngoscope Investig Otolaryngol. 2019 Jun 7;4(4):420-424. doi: 10.1002/lio2.277. eCollection 2019 Aug.
7
Computational Evaluation of Cochlear Implant Surgery Outcomes Accounting for Uncertainty and Parameter Variability.考虑不确定性和参数变异性的人工耳蜗植入手术结果的计算评估
Front Physiol. 2018 May 23;9:498. doi: 10.3389/fphys.2018.00498. eCollection 2018.
用于人工耳蜗植入计算模拟的自动模型生成框架
Ann Biomed Eng. 2016 Aug;44(8):2453-2463. doi: 10.1007/s10439-015-1541-y. Epub 2015 Dec 29.
4
Relationship Between Electrode-to-Modiolus Distance and Current Levels for Adults With Cochlear Implants.成人人工耳蜗植入者电极与蜗轴距离和电流水平之间的关系
Otol Neurotol. 2016 Jan;37(1):31-7. doi: 10.1097/MAO.0000000000000896.
5
Constructing a three-dimensional electrical model of a living cochlear implant user's cochlea.构建活体耳蜗植入患者耳蜗的三维电模型。
Int J Numer Method Biomed Eng. 2016 Jul;32(7). doi: 10.1002/cnm.2751. Epub 2015 Dec 2.
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8
Computational Models for Predicting Outcomes of Neuroprosthesis Implantation: the Case of Cochlear Implants.用于预测神经假体植入物效果的计算模型:以人工耳蜗为例。
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