Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Hospital, Grenoble, France; BrainTech Lab INSERM UMR 2015, Grenoble, France; GeodAIsics, Grenoble, France.
Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Hospital, Grenoble, France; BrainTech Lab INSERM UMR 2015, Grenoble, France.
J Neuroradiol. 2024 Mar;51(2):145-154. doi: 10.1016/j.neurad.2023.10.002. Epub 2023 Oct 6.
Cochlear implants have advanced the management of severe to profound deafness. However, there is a strong disparity in hearing performance after implantation from one patient to another. Moreover, there are several advanced kinds of imaging assessment before cochlear implantation. Microstructural white fiber degeneration can be studied with Diffusion weighted MRI (DWI) or tractography of the central auditory pathways. Functional MRI (fMRI) allows us to evaluate brain function, and CT or MRI segmentation to better detect inner ear anomalies.
This literature review aims to evaluate how helpful pre-implantation anatomic imaging can be to predict hearing rehabilitation outcomes in deaf patients. These techniques include DWI and fMRI of the central auditory pathways, and automated labyrinth segmentation by CT scan, cone beam CT and MRI.
This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were selected by searching in PubMed and by checking the reference lists of relevant articles. Inclusion criteria were adults over 18, with unilateral or bilateral hearing loss, who had DWI acquisition or fMRI or CT/ Cone Beam CT/ MRI image segmentation.
After reviewing 172 articles, we finally included 51. Studies on DWI showed changes in the central auditory pathways affecting the white matter, extending to the primary and non-primary auditory cortices, even in sudden and mild hearing impairment. Hearing loss patients show a reorganization of brain activity in various areas, such as the auditory and visual cortices, as well as regions involved in language and emotions, according to fMRI studies. Deep Learning's automatic segmentation produces the best CT segmentation in just a few seconds. MRI segmentation is mainly used to evaluate fluid space of the inner ear and determine the presence of an endolymphatic hydrops.
Before cochlear implantation, a DWI with tractography can evaluate the central auditory pathways up to the primary and non-primary auditory cortices. This data is then used to generate predictions on the auditory rehabilitation of patients. A CT segmentation with systematic 3D reconstruction allow a better evaluation of cochlear malformations and predictable difficulties during surgery.
人工耳蜗植入术已经极大地改善了重度到极重度耳聋患者的听力状况。然而,每位患者植入后的听力效果却存在显著差异。此外,在人工耳蜗植入术前,还可以进行多种先进的影像学评估。弥散加权磁共振成像(DWI)或中枢听觉通路的示踪技术可用于研究微观结构的白纤维变性。功能磁共振成像(fMRI)可以评估大脑功能,CT 或 MRI 分割可以更好地检测内耳异常。
本文献综述旨在评估术前解剖影像学对预测耳聋患者听力康复结果的帮助。这些技术包括中枢听觉通路的 DWI 和 fMRI,以及 CT、锥形束 CT 和 MRI 对内耳自动分割。
本系统综述按照系统评价和荟萃分析的首选报告项目(PRISMA)指南进行。通过在 PubMed 中搜索并检查相关文章的参考文献列表来选择研究。纳入标准为 18 岁以上、单侧或双侧听力损失的成年人,并且进行了 DWI 采集或 fMRI 或 CT/锥形束 CT/MRI 图像分割。
在回顾了 172 篇文章后,我们最终纳入了 51 篇。DWI 研究显示,中枢听觉通路的变化影响白质,延伸至初级和非初级听觉皮层,即使是在突发性和轻度听力损失中也是如此。根据 fMRI 研究,听力损失患者在听觉和视觉皮层以及涉及语言和情感的区域中表现出大脑活动的重新组织。深度学习的自动分割可以在短短几秒钟内产生最佳的 CT 分割。MRI 分割主要用于评估内耳的液性空间,并确定是否存在内淋巴积水。
在人工耳蜗植入术前,DWI 结合示踪技术可以评估到初级和非初级听觉皮层的中枢听觉通路。这些数据随后用于预测患者的听觉康复效果。CT 分割与系统的 3D 重建相结合,可以更好地评估耳蜗畸形和手术中的可预测困难。