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PLoS One. 2012;7(4):e35857. doi: 10.1371/journal.pone.0035857. Epub 2012 Apr 20.
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Cancer Imaging. 2012 Apr 5;12(1):89-99. doi: 10.1102/1470-7330.2012.0010.
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Neuro Oncol. 2011 Oct;13(10):1151-61. doi: 10.1093/neuonc/nor079. Epub 2011 Aug 19.
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Isolated diffusion restriction precedes the development of enhancing tumor in a subset of patients with glioblastoma.在一部分胶质母细胞瘤患者中,孤立性弥散受限先于增强肿瘤的发展。
AJNR Am J Neuroradiol. 2011 Aug;32(7):1301-1306. doi: 10.3174/ajnr.A2479. Epub 2011 May 19.
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Magn Reson Imaging. 2011 Jul;29(6):766-76. doi: 10.1016/j.mri.2011.03.004. Epub 2011 May 5.
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Cell invasion, motility, and proliferation level estimate (CIMPLE) maps derived from serial diffusion MR images in recurrent glioblastoma treated with bevacizumab.基于贝伐珠单抗治疗复发性胶质母细胞瘤的序列弥散 MR 图像得出的细胞侵袭、运动和增殖水平估计(CIMPLE)图谱。
J Neurooncol. 2011 Oct;105(1):91-101. doi: 10.1007/s11060-011-0567-8. Epub 2011 Mar 26.
7
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Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons.标准化相对脑血容量(rCBV)图像图,以方便患者间和患者内的比较。
Magn Reson Med. 2010 Sep;64(3):907-13. doi: 10.1002/mrm.22445.
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Volumetric analysis of functional diffusion maps is a predictive imaging biomarker for cytotoxic and anti-angiogenic treatments in malignant gliomas.功能扩散图的容积分析是恶性胶质瘤细胞毒性和抗血管生成治疗的预测性成像生物标志物。
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10
Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.高级别胶质瘤更新后的反应评估标准:神经肿瘤学工作组的反应评估。
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扩散加权磁共振成像作为胶质瘤治疗反应的生物标志物

Diffusion-weighted MRI as a biomarker for treatment response in glioma.

作者信息

Schmainda Kathleen M

出版信息

CNS Oncol. 2012 Nov;1(2):169-80. doi: 10.2217/cns.12.25.

DOI:10.2217/cns.12.25
PMID:23936625
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3734866/
Abstract

Diffusion-weighted imaging (DWI) is a powerful MRI method, which probes abnormalities of tissue structure by detecting microscopic changes in water mobility at a cellular level beyond what is available with other imaging techniques. Accordingly, DWI has the potential to identify pathology before gross anatomic changes are evident on standard anatomical brain images. These features of tissue characterization and earlier detection are what make DWI particularly appealing for the evaluation of gliomas and the newer therapies where standard anatomical imaging is proving insufficient. This article focuses on the basic principles and applications of DWI, and its derived parameter, the apparent diffusion coefficient, for the purposes of diagnosis and evaluation of glioma, especially in the context of monitoring response to therapy.

摘要

扩散加权成像(DWI)是一种强大的磁共振成像(MRI)方法,它通过检测细胞水平上水分子运动的微观变化来探测组织结构异常,这是其他成像技术所无法做到的。因此,在标准解剖学脑图像上明显的大体解剖学变化出现之前,DWI有潜力识别病变。组织特征化和早期检测的这些特性使得DWI在评估胶质瘤以及标准解剖学成像已证明不足的新型治疗方法中特别具有吸引力。本文重点介绍DWI及其衍生参数表观扩散系数的基本原理和应用,用于胶质瘤的诊断和评估,特别是在监测治疗反应的背景下。