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利用3D打印技术将磁共振成像(MRI)与组织学相结合:脑切片方案

Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning.

作者信息

Luciano Nicholas J, Sati Pascal, Nair Govind, Guy Joseph R, Ha Seung-Kwon, Absinta Martina, Chiang Wen-Yang, Leibovitch Emily C, Jacobson Steven, Silva Afonso C, Reich Daniel S

机构信息

Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.

Cerebral Microcirculation Section, National Institute of Neurological Disorders and Stroke.

出版信息

J Vis Exp. 2016 Dec 6(118):54780. doi: 10.3791/54780.

Abstract

Magnetic resonance imaging (MRI) allows for the delineation between normal and abnormal tissue on a macroscopic scale, sampling an entire tissue volume three-dimensionally. While MRI is an extremely sensitive tool for detecting tissue abnormalities, association of signal changes with an underlying pathological process is usually not straightforward. In the central nervous system, for example, inflammation, demyelination, axonal damage, gliosis, and neuronal death may all induce similar findings on MRI. As such, interpretation of MRI scans depends on the context, and radiological-histopathological correlation is therefore of the utmost importance. Unfortunately, traditional pathological sectioning of brain tissue is often imprecise and inconsistent, thus complicating the comparison between histology sections and MRI. This article presents novel methodology for accurately sectioning primate brain tissues and thus allowing precise matching between histology and MRI. The detailed protocol described in this article will assist investigators in applying this method, which relies on the creation of 3D printed brain slicers. Slightly modified, it can be easily implemented for brains of other species, including humans.

摘要

磁共振成像(MRI)能够在宏观尺度上区分正常组织和异常组织,对整个组织体积进行三维采样。虽然MRI是检测组织异常的极其敏感的工具,但信号变化与潜在病理过程的关联通常并非一目了然。例如,在中枢神经系统中,炎症、脱髓鞘、轴突损伤、胶质增生和神经元死亡在MRI上都可能产生相似的表现。因此,MRI扫描的解读取决于具体情况,放射学与组织病理学的相关性至关重要。不幸的是,传统的脑组织病理切片往往不准确且不一致,从而使组织学切片与MRI之间的比较变得复杂。本文介绍了一种精确切割灵长类脑组织的新方法,从而实现组织学与MRI之间的精确匹配。本文所述的详细方案将帮助研究人员应用这种依赖于3D打印脑切片器的方法。稍作修改后,它可以很容易地应用于包括人类在内的其他物种的大脑。

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