Therapy response with diffusion MRI: an update.
Therapy response with diffusion MRI: an update.
复制标题
DOI：
10.1102/1470-7330.2012.9047
复制
发表时间：
2012-09-28
期刊：
影响因子：
--
通讯作者：
Thoeny HC
中科院分区：
文献类型：
--
作者：
Bains LJ;Zweifel M;Thoeny HC
肿瘤治疗方案的效率通常通过形态学标准评估，例如通过横截面成像或通过血浆生物标志物的实验室测量评估的肿瘤大小。由于这些类型的测量通常允许在治疗开始后数周甚至数月评估治疗反应，因此需要提供对肿瘤功能的洞察的早期反应评估。这对于评估新的靶向治疗和在数周内提供的分次治疗以允许对无应答患者的治疗进行改变尤为迫切。弥散加权MRI（DW-MRI）是一种非侵入性成像工具，不涉及辐射或造影剂，并且对细胞水平上的组织微观结构和功能敏感。DW-MRI参数在越来越多的肿瘤类型和器官部位中显示出对治疗反应的敏感性，并具有作为治疗结局预测参数的额外潜力。DW-MRI的原则提供了一个简要的概述，其次是最近的文献中，DW-MRI已被用来监测和预测肿瘤反应的各种治疗方案的审查。
The efficiency of an oncological treatment regimen is often assessed by morphological criteria such as tumour size evaluated by cross-sectional imaging, or by laboratory measurements of plasma biomarkers. Because these types of measures typically allow for assessment of treatment response several weeks or even months after the start of therapy, earlier response assessment that provides insight into tumour function is needed. This is particularly urgent for the evaluation of newer targeted therapies and for fractionated therapies that are delivered over a period of weeks to allow for a change of treatment in non-responding patients. Diffusion-weighted MRI (DW-MRI) is a non-invasive imaging tool that does not involve radiation or contrast media, and is sensitive to tissue microstructure and function on a cellular level. DW-MRI parameters have shown sensitivity to treatment response in a growing number of tumour types and organ sites, with additional potential as predictive parameters for treatment outcome. A brief overview of DW-MRI principles is provided here, followed by a review of recent literature in which DW-MRI has been used to monitor and predict tumour response to various therapeutic regimens.
登录
查看更多内容
影响因子：
5.9
作者：
Hayashida, Yoshiko;Yakushiji, Toshitake;Mizuta, Hiroshi
通讯作者：
Mizuta, Hiroshi
影响因子：
2.1
作者：
Gutzeit, Andreas;Doert, Aleksis;Binkert, Christoph A.
通讯作者：
Binkert, Christoph A.
影响因子：
4.4
作者：
Curvo-Semedo, Luis;Lambregts, Doenja M. J.;Beets-Tan, Regina G. H.
通讯作者：
Beets-Tan, Regina G. H.
影响因子：
5.9
作者：
Kim, Seung Ho;Lee, Jae Young;Choi, Byung Ihn
通讯作者：
Choi, Byung Ihn
影响因子：
5
作者：
Galban, Craig J.;Mukherji, Suresh K.;Ross, Brian D.
通讯作者：
Ross, Brian D.