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Image-Guided IMRT for Inter-Fractional Changes

Image-Guided IMRT for Inter-Fractional Changes
用于分次间变化的图像引导 IMRT
批准号:
7030553
负责人:
RADHE MOHAN
金额:
$32.09万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-28 至 2009-07-31

项目摘要

项目成果

RADHE MOHAN的其他基金

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中文摘要
翻译
描述(由申请人提供):本竞争性更新申请的主要目标是研究一系列图像引导调强放射治疗(IG-IMRT)策略的适当性和相对部位特异性临床潜力,以考虑分次间解剖结构变化。我们的假设是,不同的复杂性和复杂性的适当IG-IMRT策略的应用将导致更多的适形剪裁和更高的准确性的输送剂量分布,允许显着减少正常组织暴露于损伤水平的辐射剂量或肿瘤剂量的升级,或两者兼而有之。有许多可能的IG-IMRT策略,包括一些非常先进和复杂的策略,涉及日常CT图像引导设置和在线近实时重新规划。作为本研究提案的一部分,将确定每种策略对给定部位特定临床情况的适当性,并将取决于分次间解剖变异的程度和性质、治疗技术(例如,立体定向、低分割)和成本与临床受益考虑。为了验证我们的假设,我们将(1)在必要时调整、优化、开发和评估图像分割和可变形配准方法的有效性;(2)开发和评估专门针对不同离线和在线自适应和校正IG-IMRT策略设计和实施IMRT的方法和软件;以及(3)进行临床前治疗设计研究,以通过将替代IG-IMRT策略应用于前列腺病例来评估它们相对于当前实践以及彼此的优点,头颈部和视频反馈引导的门控或屏气肺治疗。拟议研究的临床依据是,从长远来看,其结果将导致结果的显着改善,降低正常组织毒性,提高局部控制,或两者兼而有之。此外,准确了解实际输送的剂量分布将提高剂量-反应数据的质量。为了实现我们的目标,我们打算利用我们在前两个资助周期中通过IMRT研究所取得的进展。
英文摘要
DESCRIPTION (provided by applicant): The main goal of this competitive renewal application is to investigate the appropriateness and the relative site- specific clinical potential of a range of image-guided IMRT (IG-IMRT) strategies for taking into account inter-fractional changes in anatomy. Our hypothesis is that the application of appropriate IG-IMRT strategies of varying sophistication and complexity will lead to more conformal tailoring and to higher accuracy of delivered dose distributions, allowing significant reduction of normal tissues exposed to damaging levels of radiation doses or escalation of tumor doses, or both. There are many possible IG-IMRT strategies, including some that are highly advanced and complex ones that involve daily CT-image-guided setup and online near real-time replanning. The appropriateness of each strategy for a given site-specific clinical situation will be determined as a part of this research proposal and will depend upon the magnitude and the nature of the inter-fractional anatomic variations, the treatment technique (e.g., stereotactic, hypo-fractionated) and cost vs. clinical benefit considerations. To test our hypothesis, we will (1) adapt, optimize, develop, where necessary, and evaluate the effectiveness of image segmentation and deformable registration methods; (2) develop and evaluate methods and software for designing and delivering IMRT specifically for different offline and online adaptive and corrective IG-IMRT strategies; and (3) conduct preclinical treatment design studies to assess the merits of alternate IG-IMRT strategies relative to current practices as well as to each other by applying them to cases of prostate, head-and-neck and video-feedback-guided gated or breath-hold lung treatments. The clinical rationale for the proposed research is that its results will, in the long run, lead to significant improvements in outcome in terms of lower normal tissue toxicity, higher local control, or both. In addition, the accurate knowledge of the dose distributions actually delivered will improve the quality of dose-response data. To accomplish our goal, we intend to leverage the advances we made through our IMRT research in the previous two funding cycles.
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Image-Guided IMRT for Inter-Fractional Changes
Image-Guided IMRT for Inter-Fractional Changes
Image-Guided IMRT for Inter-Fractional Changes
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