Dose Uncertainty Management and Probabilistic Planning

剂量不确定性管理和概率规划

• 批准号: 7806512
• 负责人: JEFFREY Vincent SIEBERS
• 金额: $ 31.48万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-16 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7806512
• 关键词: Acceleration; Accounting; Algorithms; Anatomy; Breathing; Cervix Uteri; Classification; Clinical; Collaborations; Complex; Complication; Coupled; Development; Dose; Ensure; Evaluation; Evaluation Indexes; Evaluation Methodology; Evolution; Goals; Image; Image Analysis; Individual; Intensity-Modulated Radiotherapy; Lung; Maps; Methods; Morphologic artifacts; Names; Normal tissue morphology; Organ; Outcome; Patients; Phase; Positioning Attribute; Probability; Process; Prostate; Public Health; Radiation; Radiation therapy; Research Personnel; Residual state; Structure; Techniques; Testing; Therapeutic; Time; Treatment Effectiveness; Treatment outcome; Uncertainty; Variant; base; direct application; image guided therapy; image registration; improved; indexing; novel; population based; process optimization; programs; response; treatment planning; tumor

The evolution of radiation therapy treatment techniques coupled with improved targeting by 3D onboard imaging and real-time adaptive IMRT replanning makes possible the delivery of more conformal dose distributions to targets with substantially reduced margins in comparison with historical radiation therapy practice. A key component of image guided adaptive radiation therapy (IGART) is planning and tracking of dose distributions on multiple deforming presentations of the patient anatomy. Performing such complex dose calculations in the context of rapid IMRT optimization presents a number of scientific challenges. First dose computation on deforming anatomies may add dose uncertainties, which results in decreased treatment effectiveness. Secondly, optimal IGART application will require that accurate dose calculations be performed much more rapidly than is possible with present algorithms. Finally, even when onboard 3D imaging-based setup adjustments are applied, residual systematic and random uncertainties will remain and need to be considered during planning. The goals of this Project are: (1) To develop methods to evaluate and minimize dose errors and dose uncertainty introduced by adding dose distributions acquired at different presentations of the patient's anatomy so as to accurately quantify and ensure effective dose delivery for IGART. (2) To develop and validate efficient, accurate dose algorithms for use with deformed image sets so as to enable rapid plan re- optimization and plan re-evaluation for IGART. (3) To develop and compare methods to account for residual dosimetric and targeting uncertainties and errors during plan IMRT optimization for IGART treatment delivery. The long term objectives of this Program are to develop and implement optimal IGART methods, to use these methods to enable dose-per-fraction escalation, and to improve patient outcomes through delivery of highly conformal dose distributions with minimal dose uncertainty. This project will benefit public health by developing techniques that will improve quantification of radiation therapy doses delivered to patients throughout their course of radiation therapy as their anatomy changes due to responses to the treatment or other processes. The project will develop techniques to reduce the amount of normal tissues irradiated, thereby enabling a reduction in complication rates and improvement in control rates for patients treated with radiationtherapy.

辐射疗法治疗技术的演变以及3D板上的改进靶向的进化 成像和实时自适应IMRT重新植物使得可以提供更相形的剂量 与历史放射疗法相比，向具有大幅降低边缘的目标分布 实践。图像指导自适应放射疗法（IGART）的关键组成部分是计划和跟踪 剂量分布在患者解剖学的多个变形表现上。执行如此复杂 在快速IMRT优化的背景下，剂量计算提出了许多科学挑战。第一的 关于变形解剖的剂量计算可能会增加剂量不确定性，从而减少 治疗效率。其次，最佳IGART应用将需要准确的剂量计算 与当前算法相比，执行速度要快得多。最后，即使在3D上 采用基于成像的设置调整，残留系统和随机不确定性将保留，并且 在计划期间需要考虑。 该项目的目标是：（1）开发评估和最小化剂量错误和剂量的方法 通过在患者的不同演示中添加剂量分布引入的不确定性 解剖学以准确量化并确保IGART有效剂量递送。 （2）发展和 验证有效，准确的剂量算法，可与变形的图像集一起使用，以便快速计划重新计划 IGART的优化和计划重新评估。 （3）开发和比较方法以说明残留 计划在IMRT优化IGART治疗过程中的剂量学和靶向不确定性和错误 送货。 该程序的长期目标是开发和实施最佳的IGART方法，使用 这些方法可以使每分量升级剂量升级，并通过交付来改善患者的结果 高剂量不确定性的高度保形剂量分布。 该项目将通过开发将改善辐射量化的技术来使公共卫生受益 随着解剖学的变化，整个放射治疗过程中递送给患者的治疗剂量 由于对治疗或其他过程的反应。该项目将开发技术以减少 受照射的正常组织量，从而降低并发症率和提高 接受放射治疗的患者的控制率。