Facial Nerve Tractography Using Diffusion MRI: A Comparison of Acquisition b -Values and Single- and Multifiber Tracking Strategies.

IF 1.9 3区 医学 Q3 CLINICAL NEUROLOGY Otology & Neurotology Pub Date : 2024-10-01 Epub Date: 2024-09-05 DOI:10.1097/MAO.0000000000004310
Lorenz Epprecht, Leo Zekelman, Katherine L Reinshagen, Guoqiang Xie, Isaiah Norton, Ron Kikinis, Nikos Makris, Marco Piccirelli, Alexander Huber, Daniel J Lee, Fan Zhang, Lauren J O'Donnell
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Abstract

Hypothesis: This study investigates the impact of different diffusion magnetic imaging (dMRI) acquisition settings and mathematical fiber models on tractography performance for depicting cranial nerve (CN) VII in healthy young adults.

Background: The aim of this study is to optimize visualization of CN VII for preoperative assessment in surgeries near the nerve in the cerebellopontine angle, reducing surgery-associated complications. The study analyzes 100 CN VII in dMRI images from the Human Connectome Project, using three separate sets with different b values ( b = 1,000 s/mm 2 , b =2,000 s/mm 2 , b =3,000 s/mm 2 ) and four different tractography methods, resulting in 1,200 tractographies analyzed.

Results: The results show that multifiber and free water (FW) compartment models produce significantly more streamlines than single-fiber tractography. The addition of an FW compartment significantly increases the mean streamline fractional anisotropy (FA). Expert quality ratings showed that the highest rated tractography was the 1 tensor (1T) method without FW at b values of 1,000 s/mm2.

Conclusions: In this young and healthy cohort, best tractography results are obtained by using a 1T model without a FW compartment in b =1,000 diffusion MR images. The FW compartment increased the contrast between streamlines and cerebrospinal fluid (higher mean streamline FA). This finding may help ongoing research to improve CN VII tractography results in tumor cases where the nerve is often stretched and thinned by the tumor.

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使用弥散核磁共振成像进行面部神经牵张成像:采集 b 值与单纤维和多纤维追踪策略的比较
假设:本研究探讨了不同的扩散磁成像(dMRI)采集设置和数学纤维模型对描绘健康青壮年颅神经(CN)VII的束成像性能的影响:本研究旨在优化 CN VII 的可视化,以便在靠近小脑角神经的手术中进行术前评估,减少手术相关并发症。研究分析了人类连接组计划中 100 张 dMRI 图像中的 CN VII,使用了三套不同 b 值的独立图像(b = 1,000 s/mm2、b = 2,000 s/mm2、b = 3,000 s/mm2)和四种不同的束描方法,共分析了 1,200 个束描图:结果表明,多纤维和自由水(FW)室模型产生的流线明显多于单纤维束描法。加入自由水室后,平均流线分数各向异性(FA)明显增加。专家质量评分显示,在 b 值为 1,000 s/mm2 时,评分最高的束流成像是不含 FW 的 1 张量 (1T) 方法:结论:在这组年轻健康的人群中,在 b = 1,000 的弥散 MR 图像中使用不含 FW 区段的 1T 模型可获得最佳牵引成像结果。FW区增加了流线与脑脊液之间的对比度(更高的平均流线FA)。在肿瘤病例中,神经经常被肿瘤拉伸变细,这一发现可能有助于正在进行的研究,以改善 CN VII 牵引成像结果。
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来源期刊
Otology & Neurotology
Otology & Neurotology 医学-耳鼻喉科学
CiteScore
3.80
自引率
14.30%
发文量
509
审稿时长
3-6 weeks
期刊介绍: ​​​​​Otology & Neurotology publishes original articles relating to both clinical and basic science aspects of otology, neurotology, and cranial base surgery. As the foremost journal in its field, it has become the favored place for publishing the best of new science relating to the human ear and its diseases. The broadly international character of its contributing authors, editorial board, and readership provides the Journal its decidedly global perspective.
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