Suppr超能文献

扩散磁共振成像轨迹法在前视路定位中的应用:验证方法的系统评价。

Methods of diffusion MRI tractography for localization of the anterior optic pathway: A systematic review of validated methods.

机构信息

Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.

Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy; IRCCS Istituto delle Scienze Neurologiche di Bologna, Functional and Molecular Neuroimaging Unit, Bologna, Italy.

出版信息

Neuroimage Clin. 2023;39:103494. doi: 10.1016/j.nicl.2023.103494. Epub 2023 Aug 10.

Abstract

The anterior optic pathway (AOP) is a system of three structures (optic nerves, optic chiasma, and optic tracts) that convey visual stimuli from the retina to the lateral geniculate nuclei. A successful reconstruction of the AOP using tractography could be helpful in several clinical scenarios, from presurgical planning and neuronavigation of sellar and parasellar surgery to monitoring the stage of fiber degeneration both in acute (e.g., traumatic optic neuropathy) or chronic conditions that affect AOP structures (e.g., amblyopia, glaucoma, demyelinating disorders or genetic optic nerve atrophies). However, its peculiar anatomy and course, as well as its surroundings, pose a serious challenge to obtaining successful tractographic reconstructions. Several AOP tractography strategies have been adopted but no standard procedure has been agreed upon. We performed a systematic review of the literature according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 guidelines in order to find the combinations of acquisition and reconstruction parameters that have been performed previously and have provided the highest rate of successful reconstruction of the AOP, in order to promote their routine implementation in clinical practice. For this purpose, we reviewed data regarding how the process of anatomical validation of the tractographies was performed. The Cochrane Handbook for Systematic Reviews of Interventions was used to assess the risk of bias and thus the study quality We identified thirty-nine studies that met our inclusion criteria, and only five were considered at low risk of bias and achieved over 80% of successful reconstructions. We found a high degree of heterogeneity in the acquisition and analysis parameters used to perform AOP tractography and different combinations of them can achieve satisfactory levels of anterior optic tractographic reconstruction both in real-life research and clinical scenarios. One thousand s/mm was the most frequently used b value, while both deterministic and probabilistic tractography algorithms performed morphological reconstruction of the tract satisfactorily, although probabilistic algorithms estimated a more realistic percentage of crossing fibers (45.6%) in healthy subjects. A wide heterogeneity was also found regarding the method used to assess the anatomical fidelity of the AOP reconstructions. Three main strategies can be found: direct visual direct visual assessment of the tractography superimposed to a conventional MR image, surgical evaluation, and computational methods. Because the latter is less dependent on a priori knowledge of the anatomy by the operator, computational methods of validation of the anatomy should be considered whenever possible.

摘要

前视神经通路(AOP)是由三个结构(视神经、视交叉和视束)组成的系统,它将视网膜的视觉刺激传递到外侧膝状体核。使用轨迹法成功重建 AOP 可有助于多种临床情况,包括鞍区和鞍旁手术的术前规划和神经导航、监测急性(例如创伤性视神经病变)或影响 AOP 结构的慢性疾病(例如弱视、青光眼、脱髓鞘疾病或遗传性视神经萎缩)中纤维变性的阶段。然而,其特殊的解剖结构和走行以及周围环境对获得成功的轨迹重建构成了严重挑战。已经采用了几种 AOP 轨迹重建策略,但尚未达成标准程序。我们根据 2020 年《系统评价和荟萃分析首选报告项目》(PRISMA)的指南对文献进行了系统回顾,以找到之前已进行并提供 AOP 最高重建成功率的采集和重建参数组合,以促进其在临床实践中的常规实施。为此,我们回顾了关于如何对轨迹进行解剖验证的过程的数据。使用《干预措施系统评价手册》评估偏倚风险,从而评估研究质量。我们确定了符合纳入标准的 39 项研究,只有 5 项被认为是低偏倚风险,且达到了 80%以上的成功重建率。我们发现,在用于执行 AOP 轨迹重建的采集和分析参数方面存在高度异质性,并且不同的组合可以在真实研究和临床场景中达到令人满意的前视神经束重建水平。1000 s/mm 是最常用的 b 值,尽管概率性轨迹算法估计了健康受试者中交叉纤维的更现实的百分比(45.6%),但确定性和概率性轨迹算法都可以对轨迹进行形态重建。在用于评估 AOP 重建解剖学准确性的方法方面也发现了很大的异质性。有三种主要的策略:直接观察、将轨迹叠加到常规磁共振图像上的直接视觉评估、手术评估和计算方法。由于后一种方法较少依赖于操作者对解剖结构的先验知识,因此只要可能,就应考虑使用解剖验证的计算方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2060/10477810/df769fbdd481/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验