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Wu X, Li M, Zhang Z, Li X, Di M, Song G, Wang X, Li M, Kong F, Liang J. Reliability of Preoperative Prediction of the Location of the Facial Nerve Using Diffusion Tensor Imaging-Fiber Tracking in Vestibular Schwannoma: A Systematic Review and Meta-Analysis. World Neurosurg 2020; 146:351-361.e3. [PMID: 33130136 DOI: 10.1016/j.wneu.2020.10.136] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/25/2020] [Accepted: 10/26/2020] [Indexed: 11/25/2022]
Abstract
The popularization and application of microscopy, the in-depth study of the microanatomy of the cerebellopontine angle, and the application of intraoperative electrophysiological monitoring technology to preserve facial nerve function have laid a solid foundation for the modern era of neurosurgery. The preoperative prediction of the location of the facial nerve is a long-desired goal of neurosurgeons. The advances in neuroimaging seem to be making this goal a reality. Many studies investigating the reliability of the preoperative prediction of the location of the facial nerve using diffusion tensor imaging-fiber tracking in vestibular schwannoma have been reported in the last 20 years. The PubMed, Embase, and Cochrane databases were searched for articles published before March 30, 2020. A comprehensive review of published studies was carried out in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Authors performed a systematic review and meta-analysis of the reported data to assess the reliability of the preoperative prediction of the location of the facial nerve using diffusion tensor imaging-fiber tracking in vestibular schwannoma. The data were analyzed using a fixed-effects model. The estimated overall intraoperative verification concordance rate was 89.05% (95% confidence interval 85.06%-92.58%). Preoperatively predicting the location of the facial nerve using diffusion tensor imaging-fiber tracking in vestibular schwannoma is reliable, but the extent to which it contributes to long-term facial nerve function is still unclear. To further verify these results, studies with larger sample sizes are needed in the future, especially prospective randomized controlled trials focusing on the long-term functional preservation of the facial nerve.
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Affiliation(s)
- Xiaolong Wu
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Mengjun Li
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China; Department of Neurosurgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Zhiping Zhang
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Xiaotong Li
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Manlin Di
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Gang Song
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Xu Wang
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Mingchu Li
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Feng Kong
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China
| | - Jiantao Liang
- Department of Neurosurgery, XuanWu Hospital, Capital Medical University, Beijing, China; International Neuroscience Institute (China-INI), Beijing, China.
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Dhir SB, Kutten KS, Li M, Faria AV, Younes L, Ratnanather JT. Visualising the topography of the acoustic radiation in clinical diffusion tensor imaging scans. Neuroradiology 2020; 62:1157-1167. [PMID: 32430643 DOI: 10.1007/s00234-020-02436-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 04/13/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE It has long been thought that the acoustic radiation (AR) white matter fibre tract from the medial geniculate body of the thalamus to the Heschl's gyrus cannot be reconstructed via single-fibre analysis of clinical diffusion tensor imaging (DTI) scans. A recently developed single-fibre probabilistic method suggests otherwise. The method uses dynamic programming (DP) to compute the most probable paths between two regions of interest. This study aims to observe the ability of single-fibre probabilistic analysis via DP to visualise the AR in clinical DTI scans from legacy pilot cohorts of subjects with normal hearing (NH) and profound hearing loss (HL). METHODS Single-fibre probabilistic analysis via DP was applied to reconstruct 3D models of the AR in the two cohorts. DTI and T1 data at 1.5 T for subjects with NH (n = 11) and HL (n = 5), as well as 3 T for NH (n = 1) and HL (n = 1), were used. RESULTS The topographical features of AR previously observed in post-mortem and multi-fibre analyses can be visualised in DTI scans of 16 subjects and 2 atlases with a success rate of 100%. Relative to MNI coordinates, there was no significant difference in the varifold distances between the topography of the tracts in the 1.5 T cohort. CONCLUSION The AR can be visualised in clinical 1.5 T and 3 T DTI scans using single-fibre probabilistic analysis via DP, hence, the potential for DP to visualise the AR in medical and pre-surgical applications in pathologies such as vestibular schwannoma, multiple sclerosis, thalamic tumours and stroke as well as hearing loss.
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Affiliation(s)
- S Bryn Dhir
- Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Kwame S Kutten
- Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Muwei Li
- Vanderbilt University, Nashville, TN, 37235, USA
| | - Andreia V Faria
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Laurent Younes
- Center for Imaging Science and Institute for Computational Medicine, Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - J Tilak Ratnanather
- Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
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