首页> 外文OA文献 >Estudo anatômico da substância branca do lobo frontal: da técnica de Klingler à dissecção virtual por ressonância magnética (tractografia)
【2h】

Estudo anatômico da substância branca do lobo frontal: da técnica de Klingler à dissecção virtual por ressonância magnética (tractografia)

机译:额叶白质的解剖学研究:从克林格勒技术到磁共振虚拟解剖(影像学)

摘要

The fiber dissection technique is a classical method used by renowned anatomists from the past in order to demonstrate the white matter tracts of the brain. This technique involves layer by layer dissection of the white matter demonstrating the inner anatomic organization of the parenchyma. Due to the contemporary possibility of visualizing the encephalic white matter bundles in vivo by tractography based on diffusion tensor imaging (DTI), old anatomic fundamentals paradoxically have become more relevant currently. This paper has three objectives: to study the main white matter fibers using the classic method of dissection, and the virtual dissection by tractography; to estimate the reconstruction reliability of frontal lobe tracts based on the atlas created by the authors; and finally to determine the structures and variables in this study with the best indicators of reproducibility, with the aim of enabling its use for clinical studies. The anatomic and tractographic information used by the authors for the identification of the white matter tracts in a previous study were compiled and given to two observers with no experience in tractography. Whole-brain DTI scans were performed in 15 healthy subjects and white matter pathways from both hemispheres were reconstructed twice by each observer. Apparent diffusion coefficient (ADC), fractional anisotropy (FA) indices, volume (VOL), number of voxels (NVO), number (NTR) and length (LEN) of tracts were evaluated in six different tracts: arcuate (ARC), uncinate (UNC), inferior fronto-occipital (IFO) and superior longitudinal (SLF) fasciculli, genu of the corpus callosum (GCC) and frontopontine tract (FP). The measures of both reconstruction of each observer were compared to study the intraobserver concordance and the mean results of each observer were used to calculate the interobserver concordance. The quantitative analysis was evaluated by Pearson association coefficient (r) and intraclass correlation coefficient (ICC). The magnitude of this correlation was very high (ICC 0. 7-0. 9) or almost perfect (ICC 0. 9-1) for FA and ADC measures of every tract studied, intraobserver and interobserver. Almost all variables of IFO, GCC, ARC and SLF tracts showed ICC higher than 0. 7 on the interobserver analyses (excluding NTR of GCC and SLF and LEN of ARC). Between observers, the structures with more than high level concordance score were IFO, GCC, ARC and SLF, specifically for FA and ADC. The “virtual dissection” obtained by MRI (tractography) could reproduce and complement the anatomic knowledge of the white matter tracts achieved through the classic method. The atlas created by the authors is a way of understanding the three dimensional intrinsic brain anatomy for clinical purposes and had its reliability estimated.
机译:纤维解剖技术是过去著名解剖学家用来展示大脑白质束的经典方法。该技术涉及白质的逐层解剖,展示了薄壁组织的内部解剖结构。由于当代有可能通过基于弥散张量成像(DTI)的线描术在体内可视化脑白质束,因此,目前矛盾的是旧的解剖学基础变得更为重要。本文的三个目标是:使用经典的解剖方法研究主要的白质纤维,以及通过放射线照相术进行虚拟解剖的方法;根据作者创建的地图集评估额叶重建的可靠性;并最终确定本研究中具有最佳再现性指标的结构和变量,以使其能够用于临床研究。作者在先前的研究中用于鉴定白质束的解剖学信息和肌谱信息已被汇编,并提供给了两名在肌谱学方面没有经验的观察者。在15名健康受试者中进行了全脑DTI扫描,每个观察者两次重建了来自两个半球的白质途径。在六个不同的区域中评估了表观扩散系数(ADC),分数各向异性(FA)指数,体积(VOL),体素数(NVO),数目(NTR)和长度(LEN):弓形(ARC),单结(UNC),额枕下(IFO)和上纵肌(SLF)筋膜,call体属(GCC)和额骨膜束(FP)。比较了每个观察者的两次重建措施,以研究观察者内部的一致性,并使用每个观察者的平均结果来计算观察者之间的一致性。定量分析通过皮尔森关联系数(r)和组内相关系数(ICC)进行评估。对于所研究的每个区域(观察者内部和观察者之间)的FA和ADC度量,这种相关性的强度非常高(ICC 0. 7-0。9)或接近完美(ICC 0. 9-1)。在观察者间分析中,几乎所有IFO,GCC,ARC和SLF域的变量都显示ICC高于0。7(不包括GCC的NTR和ARC的SLF和LEN)。观察者之间,具有较高水平一致性评分的结构是IFO,GCC,ARC和SLF,尤其是FA和ADC。通过MRI(放射线照相术)获得的“虚拟解剖”可以复制和补充通过经典方法获得的白质束的解剖学知识。作者创建的地图集是一种用于临床目的的三维三维大脑解剖结构的估算方法,并对其可靠性进行了估算。

著录项

  • 作者

    Dini Leandro Infantini;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 Português
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号