• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Super-resolution Diffusion Tensor Imaging for Delineating the Facial Nerve in Patients with Vestibular Schwannoma.用于描绘前庭神经鞘瘤患者面神经的超分辨率扩散张量成像
J Neurol Surg B Skull Base. 2019 Dec;80(6):648-654. doi: 10.1055/s-0039-1677864. Epub 2019 Mar 1.
2
Three-dimensional (3D) Printed Vestibular Schwannoma for Facial Nerve Tractography Validation.3D 打印前庭神经鞘瘤用于面神经束轨迹验证。
Otol Neurotol. 2021 Jun 1;42(5):e598-e604. doi: 10.1097/MAO.0000000000003058.
3
Diffusion tensor tractography of normal facial and vestibulocochlear nerves.正常面神经和前庭蜗神经的扩散张量纤维束成像
Int J Comput Assist Radiol Surg. 2015 Apr;10(4):383-92. doi: 10.1007/s11548-014-1129-2. Epub 2014 Nov 20.
4
Preoperative diffusion tensor imaging-fiber tracking for facial nerve identification in vestibular schwannoma: a systematic review on its evolution and current status with a pooled data analysis of surgical concordance rates.术前弥散张量成像-纤维追踪在听神经瘤面神经识别中的应用:手术符合率的荟萃数据分析及其演变和现状的系统评价。
Neurosurg Focus. 2018 Mar;44(3):E5. doi: 10.3171/2017.12.FOCUS17672.
5
Comparison of Diffusion-Weighted MRI Reconstruction Methods for Visualization of Cranial Nerves in Posterior Fossa Surgery.后颅窝手术中用于显示颅神经的扩散加权磁共振成像重建方法的比较
Front Neurosci. 2017 Oct 9;11:554. doi: 10.3389/fnins.2017.00554. eCollection 2017.
6
Combined use of diffusion tensor tractography and multifused contrast-enhanced FIESTA for predicting facial and cochlear nerve positions in relation to vestibular schwannoma.联合使用扩散张量纤维束成像和多融合对比增强快速成像稳态进动序列来预测面神经和蜗神经相对于前庭神经鞘瘤的位置。
J Neurosurg. 2015 Dec;123(6):1480-8. doi: 10.3171/2014.11.JNS14988. Epub 2015 May 22.
7
Clinical Applications for Diffusion MRI and Tractography of Cranial Nerves Within the Posterior Fossa: A Systematic Review.后颅窝内颅神经的扩散磁共振成像和纤维束成像的临床应用:一项系统评价
Front Neurosci. 2019 Feb 7;13:23. doi: 10.3389/fnins.2019.00023. eCollection 2019.
8
Correlation between Cranial Nerve Microstructural Characteristics and Vestibular Schwannoma Tumor Volume.颅神经微观结构特征与前庭神经鞘瘤瘤体体积的相关性。
AJNR Am J Neuroradiol. 2021 Oct;42(10):1853-1858. doi: 10.3174/ajnr.A7257.
9
Diffusion MRI of the facial-vestibulocochlear nerve complex: a prospective clinical validation study.面神经-前庭耳蜗神经复合体的弥散 MRI:一项前瞻性临床验证研究。
Eur Radiol. 2023 Nov;33(11):8067-8076. doi: 10.1007/s00330-023-09736-4. Epub 2023 Jun 17.
10
Facial Nerve Tractography Using Diffusion MRI: A Comparison of Acquisition b -Values and Single- and Multifiber Tracking Strategies.基于弥散磁共振成像的面神经束追踪:采集 b 值及单纤维和多纤维追踪策略的比较。
Otol Neurotol. 2024 Oct 1;45(9):e647-e654. doi: 10.1097/MAO.0000000000004310. Epub 2024 Sep 5.

引用本文的文献

1
Preoperative Vascular and Cranial Nerve Imaging in Skull Base Tumors.颅底肿瘤的术前血管和颅神经成像
Cancers (Basel). 2024 Dec 28;17(1):62. doi: 10.3390/cancers17010062.
2
To explore the pathogenesis of Bell's palsy using diffusion tensor image.运用弥散张量成像技术探索贝尔氏麻痹的发病机制。
Sci Rep. 2023 Sep 15;13(1):15298. doi: 10.1038/s41598-023-42570-8.

本文引用的文献

1
Preoperative Prediction of Location and Shape of Facial Nerve in Patients with Large Vestibular Schwannomas Using Diffusion Tensor Imaging-Based Fiber Tracking.基于扩散张量成像纤维追踪技术术前预测大型前庭神经鞘瘤患者面神经的位置和形态
World Neurosurg. 2017 Mar;99:70-78. doi: 10.1016/j.wneu.2016.11.110. Epub 2016 Nov 30.
2
Visualization of Cranial Nerves Using High-Definition Fiber Tractography.使用高清纤维束成像技术可视化颅神经
Neurosurgery. 2016 Jul;79(1):146-65. doi: 10.1227/NEU.0000000000001241.
3
Diffusion Tensor Imaging Tractography of the Facial Nerve in Patients With Cerebellopontine Angle Tumors.桥小脑角肿瘤患者面神经的扩散张量成像纤维束示踪术
Otol Neurotol. 2016 Apr;37(4):388-93. doi: 10.1097/MAO.0000000000000984.
4
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging.一种用于超高分辨率扩散成像的联合压缩感知与超分辨率方法。
Neuroimage. 2016 Jan 15;125:386-400. doi: 10.1016/j.neuroimage.2015.10.061. Epub 2015 Oct 23.
5
Feasibility of diffusion tensor tractography for preoperative prediction of the location of the facial and vestibulocochlear nerves in relation to vestibular schwannoma.弥散张量纤维束成像术前预测面神经和前庭蜗神经相对于前庭神经鞘瘤位置的可行性。
Acta Neurochir (Wien). 2015 Jun;157(6):939-46; discussion 946. doi: 10.1007/s00701-015-2411-y. Epub 2015 Apr 12.
6
Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations.基于不同切片方向的扩散加权图像对扩散参数进行超分辨率重建。
Magn Reson Med. 2016 Jan;75(1):181-95. doi: 10.1002/mrm.25597. Epub 2015 Jan 22.
7
Optimal Imaging Parameters for Readout-segmented EPI of the Temporal Bone.颞骨读出分段回波平面成像的最佳成像参数
Magn Reson Med Sci. 2015;14(2):145-52. doi: 10.2463/mrms.2014-0047. Epub 2014 Dec 15.
8
Phase-aligned multiple spin-echo averaging: a simple way to improve signal-to-noise ratio of in vivo mouse spinal cord diffusion tensor image.相位对齐的多次自旋回波平均法:一种提高体内小鼠脊髓扩散张量图像信噪比的简单方法。
Magn Reson Imaging. 2014 Dec;32(10):1335-43. doi: 10.1016/j.mri.2014.07.004. Epub 2014 Aug 1.
9
Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions.超分辨率重建以提高正交各向异性采集的扩散加权图像的空间分辨率。
Med Image Anal. 2012 Oct;16(7):1465-76. doi: 10.1016/j.media.2012.05.003. Epub 2012 Jun 19.
10
Preoperative identification of the facial nerve in patients with large cerebellopontine angle tumors using high-density diffusion tensor imaging.应用高密度弥散张量成像术前识别大型桥小脑角肿瘤患者的面神经。
J Neurosurg. 2012 Apr;116(4):697-702. doi: 10.3171/2011.12.JNS111404. Epub 2012 Jan 27.

用于描绘前庭神经鞘瘤患者面神经的超分辨率扩散张量成像

Super-resolution Diffusion Tensor Imaging for Delineating the Facial Nerve in Patients with Vestibular Schwannoma.

作者信息

Epprecht Lorenz, Kozin Elliott D, Piccirelli Marco, Kanumuri Vivek V, Tarabichi Osama, Remenschneider Aaron, Barker Frederick G, McKenna Michael J, Huber Alexander M, Cunnane Marybeth E, Reinshagen Katherine L, Lee Daniel J

机构信息

Eaton Peabody Laboratories, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States.

Department of Otology and Laryngology, Harvard Medical School, Boston, Massachusetts, United States.

出版信息

J Neurol Surg B Skull Base. 2019 Dec;80(6):648-654. doi: 10.1055/s-0039-1677864. Epub 2019 Mar 1.

DOI:10.1055/s-0039-1677864
PMID:31754597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6864920/
Abstract

Predicting the course of cranial nerves (CNs) VII and VIII in the cerebellopontine angle on preoperative imaging for vestibular schwannoma (VS) may help guide surgical resection and reduce complications. Diffusion magnetic resonance imaging dMRI is commonly used for this purpose, but is limited by its resolution. We investigate the use of super-resolution reconstruction (SRR), where several different dMRIs are combined into one dataset. We hypothesize that SRR improves the visualization of the CN VII and VIII.  Retrospective case review.  Tertiary referral center. SRR was performed on the basis of axial and parasagittal single-shot epiplanar diffusion tensor imaging on a 3.0-tesla MRI scanner.  Seventeen adult patients with suspected neoplasms of the lateral skull base.  We assessed separability of the two distinct nerves on fractional anisotropy (FA) maps, the tractography of the nerves through the cerebrospinal fluid (CSF), and FA in the CSF as a measure of noise.  SRR increases separability of the CN VII and VIII (16/17 vs. 0/17,  = 0.008). Mean FA of CSF surrounding the nerves is significantly lower in SRRs (0.07 ± 0.02 vs. 0.13 ± 0.03 [axial images]/0.14 ± 0.05 [parasagittal images],  = 0.00003/  = 0.00005). Combined scanning times (parasagittal and axial) used for SRR were shorter (8 minute 25 seconds) than a comparable high-resolution scan (15 minute 17 seconds).  SRR improves the resolution of CN VII and VIII. The technique can be readily applied in the clinical setting, improving surgical counseling and planning in patients with VS.

摘要

术前成像预测前庭神经鞘瘤(VS)患者桥小脑角区的Ⅶ、Ⅷ颅神经走行,有助于指导手术切除并减少并发症。扩散磁共振成像(dMRI)常用于此目的,但受分辨率限制。我们研究了超分辨率重建(SRR)的应用,即将多个不同的dMRI合并成一个数据集。我们假设SRR能改善Ⅶ、Ⅷ颅神经的可视化。 回顾性病例分析。 三级转诊中心。在3.0特斯拉MRI扫描仪上,基于轴位和矢状旁位单次激发平面回波扩散张量成像进行SRR。 17例疑似侧颅底肿瘤的成年患者。 我们在分数各向异性(FA)图上评估两条不同神经的可分离性、神经通过脑脊液(CSF)的纤维束成像以及CSF中的FA作为噪声测量指标。 SRR提高了Ⅶ、Ⅷ颅神经的可分离性(16/17 vs. 0/17,P = 0.008)。SRR中神经周围CSF的平均FA显著更低(0.07±0.02 vs. 0.13±0.03[轴位图像]/0.14±0.05[矢状旁位图像],P = 0.00003/P = 0.00005)。用于SRR的联合扫描时间(矢状旁位和轴位)(8分25秒)比类似的高分辨率扫描(15分17秒)更短。 SRR提高了Ⅶ、Ⅷ颅神经的分辨率。该技术可在临床环境中轻松应用,改善VS患者的手术咨询和规划。