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多发性硬化症中的自动与常规轨迹描记术:变异性与残疾的相关性。

Automated vs. conventional tractography in multiple sclerosis: variability and correlation with disability.

机构信息

Department of Radiology, Johns Hopkins University, Baltimore, MD 21287, USA.

出版信息

Neuroimage. 2010 Feb 15;49(4):3047-56. doi: 10.1016/j.neuroimage.2009.11.043. Epub 2009 Nov 26.

DOI:10.1016/j.neuroimage.2009.11.043
PMID:19944769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2843834/
Abstract

Diffusion-tensor-imaging fiber tractography enables interrogation of brain white matter tracts that subserve different functions. However, tract reconstruction can be labor and time intensive and can yield variable results that may reduce the power to link imaging abnormalities with disability. Automated segmentation of these tracts would help make tract-specific imaging clinically useful, but implementation of such segmentation is problematic in the presence of diseases that alter brain structure. In this work, we investigated an automated tract-probability-mapping scheme and applied it to multiple sclerosis, comparing the results to those derived from conventional tractography. We found that the automated method has consistently lower scan-rescan variability (typically 0.7-1.5% vs. up to 3% for conventional tractography) and avoids problems related to tractography failures within and around lesions. In the corpus callosum, optic radiation, and corticospinal tract, tract-specific MRI indices calculated by the two methods were moderately to strongly correlated, though systematic, tract-specific differences were present. In these tracts, the two methods also yielded similar correlation coefficients relating tract-specific MRI indices to clinical disability scores. In the optic tract, the automated method failed. With judicious application, therefore, the automated method may be useful for studies that investigate the relationship between imaging findings and clinical outcomes in disease.

摘要

弥散张量成像纤维束追踪技术可用于研究大脑白质束,这些白质束负责不同的功能。然而,束重建既费时又费力,而且结果可能存在差异,从而降低了将影像学异常与残疾联系起来的能力。这些束的自动分割将有助于使束特异性成像具有临床意义,但在存在改变大脑结构的疾病的情况下,这种分割的实现存在问题。在这项工作中,我们研究了一种自动束概率映射方案,并将其应用于多发性硬化症,将结果与传统束追踪的结果进行比较。我们发现,自动方法的扫描-重扫可变性始终较低(通常为 0.7-1.5%,而传统束追踪方法为 3%),并且避免了与病变内和周围的束追踪失败相关的问题。在胼胝体、视辐射和皮质脊髓束中,两种方法计算的束特异性 MRI 指数具有中度至强相关性,但存在系统的束特异性差异。在这些束中,两种方法还得出了与临床残疾评分相关的束特异性 MRI 指数的相似相关系数。在视束中,自动方法失败了。因此,通过谨慎应用,该自动方法可能有助于研究疾病中影像学发现与临床结果之间的关系。

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本文引用的文献

1
Belief propagation based segmentation of white matter tracts in DTI.基于信念传播的扩散张量成像中白质纤维束分割
Med Image Comput Comput Assist Interv. 2009;12(Pt 1):943-50. doi: 10.1007/978-3-642-04268-3_116.
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Diffusion tensor imaging of the optic tracts in multiple sclerosis: association with retinal thinning and visual disability.多发性硬化症视束的弥散张量成像:与视网膜变薄和视力障碍的相关性。
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Mult Scler. 2010 Feb;16(2):166-77. doi: 10.1177/1352458509353649.
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Damage to the optic radiation in multiple sclerosis is associated with retinal injury and visual disability.多发性硬化症中视辐射的损伤与视网膜损伤和视力残疾有关。
Arch Neurol. 2009 Aug;66(8):998-1006. doi: 10.1001/archneurol.2009.107.
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Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants.基于图谱的全脑白质分析,采用大变形微分同胚度量映射:应用于正常老年人和阿尔茨海默病患者。
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About "axial" and "radial" diffusivities.关于“轴向”和“径向”扩散率。
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Fiber tracking with distinct software tools results in a clear diversity in anatomical fiber tract portrayal.使用不同软件工具进行纤维追踪会在解剖学纤维束描绘方面产生明显差异。
Cent Eur Neurosurg. 2009 Feb;70(1):27-35. doi: 10.1055/s-0028-1087212. Epub 2009 Feb 3.
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Automated white-matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy.使用概率扩散张量图谱的自动白质纤维束成像:在颞叶癫痫中的应用。
Hum Brain Mapp. 2009 May;30(5):1535-47. doi: 10.1002/hbm.20619.
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Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template.基于国际神经成像联盟(ICBM)模板中扩散张量成像的立体定向白质图谱。
Neuroimage. 2008 Apr 1;40(2):570-582. doi: 10.1016/j.neuroimage.2007.12.035. Epub 2008 Jan 3.
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Corticospinal tract abnormalities are associated with weakness in multiple sclerosis.皮质脊髓束异常与多发性硬化症中的肌无力有关。
AJNR Am J Neuroradiol. 2008 Feb;29(2):333-9. doi: 10.3174/ajnr.A0788. Epub 2007 Nov 1.