Diffusion imaging for therapy response assessment of brain tumor.
Diffusion imaging for therapy response assessment of brain tumor.
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DOI：
10.1016/j.nic.2009.08.009
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发表时间：
2009-11
影响因子：
2.3
通讯作者：
Ross, Brian D.
中科院分区：
文献类型：
--
作者：
Chenevert, Thomas L.;Ross, Brian D.
关键词：
先进的成像技术提供了对组织的生物物理、生理、代谢或功能特性的深入了解。由于水的流动性是敏感的细胞内稳态，细胞密度和微观结构的组织，它被认为是一个有价值的工具，在先进的成像武器库。本文简要总结了扩散成像的概念，并强调了扩散MRI在肿瘤成像中的临床应用。水流动性和细胞成分密度之间的反比关系已被用于基于表观扩散系数（ADC）表征和分级脑肿瘤以及区分肿瘤与瘤周水肿。扩散张量成像及其扩散各向异性的衍生图允许评估肿瘤压缩或邻近正常组织各向异性的破坏，因此可能有助于评估肿瘤浸润并有助于术前计划。对治疗的肿瘤模型的各种临床前研究表明，ADC对有效的细胞毒性剂对肿瘤的治疗性改变敏感，并且ADC的变化在病变尺寸缩小之前是可测量的。在相应的临床研究中，在完成分次放化疗方案之前已经检测到这些ADC变化，因此基于扩散的反应生物标志物有可能用于干预和个性化治疗。已经提出了几种将扩散信息提取为定量生物标志物的方法，包括基线ADC/FA值及其随时间的变化的肿瘤汇总统计，以及反映响应肿瘤相对体积的逐体素响应图的生成。基于体素的方法需要图像体积的配准，但这种方法也可能具有指导空间定向治疗的价值。
Advanced imaging provides insight into biophysical, physiologic, metabolic, or functional properties of tissues. Since water mobility is sensitive to cellular homeostasis, cellular density and microstructural organization, it is considered a valuable tool in the advanced imaging arsenal. This article briefly summarizes diffusion imaging concepts and highlights clinical applications of diffusion MRI for oncologic imaging. The inverse relationship between water mobility and density of cellular elements has been exploited in attempts to characterize and grade brain tumor based on apparent diffusion coefficient (ADC), as well as distinguish tumor from peritumoral edema. Diffusion tensor imaging and its derivative maps of diffusion anisotropy allow assessment of tumor compression or destruction of adjacent normal tissue anisotropy thus may aid to assess tumor infiltration and aid pre-surgical planning. A variety of preclinical studies on treated tumor models demonstrate ADC is sensitive to therapeutic alteration of tumor by effective cytotoxic agents, and that ADC changes are measurable before the lesion shrinks in size. In corresponding clinical studies, these ADC changes have been detected before completion of fractionated chemo-radiation schedules thus diffusion-based biomarkers of response have the potential to be used to intervene and individualize therapy delivery. Several methods to distill diffusion information into quantitative biomarkers have been proposed and include tumor summary statistics of baseline ADC/FA values and their change with time, as well as production of voxel-by-voxel response maps that reflect the relative volume of responding tumor. The voxel-based methods require coregistration of image volumes but this approach may also have value to guide spatially-directed therapies.
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影响因子：
19.7
作者：
CHENEVERT, TL;BRUNBERG, JA;PIPE, JG
通讯作者：
PIPE, JG
DOI：
10.1016/s0360-3016(00)00547-2
发表时间：
2000-07-01
影响因子：
7
作者：
Gaspar, LE;Scott, C;Curran, W
通讯作者：
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影响因子：
11.5
作者：
Hall, DE;Moffat, BA;Ross, BD
通讯作者：
Ross, BD
影响因子：
19.7
作者：
Guo, AC;Cummings, TJ;Provenzale, JM
通讯作者：
Provenzale, JM
影响因子：
82.9
作者：
通讯作者：
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