Temporal Variation of Organ Dose Distribution in RT

RT 中器官剂量分布的时间变化

• 批准号: 7188091
• 负责人: DI YAN
• 金额: $ 25.32万
• 依托单位: WILLIAM BEAUMONT HOSPITAL RESEARCH INST
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-03-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7188091
• 关键词: Algorithms; Autopsy; Biomechanics; Clinical Research; Communities; Condition; Daily; Dose; Elements; Evaluation; Evaluation Studies; Feedback; Human; Image; Intensity-Modulated Radiotherapy; Knowledge; Malignant neoplasm of prostate; Mechanics; Methods; Modeling; Normal tissue morphology; Numbers; Operative Surgical Procedures; Organ; Patients; Positioning Attribute; Process; Property; Radiation; Radiation therapy; Radioseeds; Reporting; Source; Specimen; Structure; System; Techniques; Technology; Testing; Tissues; Treatment Protocols; Treatment outcome; Uncertainty; Variant; X-Ray Computed Tomography; base; desire; improved; in vivo; indexing; interest; prevent; response; soft tissue; treatment planning

DESCRIPTION (provided by applicant): A large number of imaging studies performed during the course of radiation treatment have indicated substantial patient setup and soft tissue position variation. Consequently, significant temporal variation of dose distribution in organs of interest (TVODD) exists during the course of radiotherapy and presents itself as one of the most difficult problems for quantitative radiotherapy analysis. Without fully understanding this variation, the treatment outcome, particularly normal tissue dose response, cannot be correctly correlated to the prescribed dose, thereby preventing reliable treatment evaluation and optimization. This fundamental problem is further exacerbated for a high conformal treatment. It is our hypothesis that quantifying TVODD in radiotherapy is essential for realizing the potential of advanced treatment technologies (e.g. IMRT). Knowledge of the temporal variation of the dose distribution in critical normal structures can be exploited to improve ongoing treatment, if the variation is quantified. Otherwise, TVODD remains as a major source of uncertainty in the treatment process. To test our hypothesis, the following Specific Aims will be pursued: (1) Integrate a soft tissue biomechanics model and finite element algorithm into the image based organ registration and evaluation system, and perform a study to determine the sensitivity of the registration model to variations of tissue mechanical properties and organ boundary conditions, (2) Validate the image based organ registration, in vivo, by using multiple CT images collected from patients with embedded radiomarkers, (3) Perform clinical studies to determine the potential impact of temporal variation of organ dose distribution on treatment planning evaluation and decisions. Explore practical methods to include temporal variation of organ dose distribution, estimated from image feedback, in treatment planning optimization.

描述（由申请人提供）：在放射治疗过程中进行的大量成像研究表明，患者摆位和软组织位置存在显著变化。因此，在放射治疗过程中，感兴趣器官的剂量分布（TVODD）存在显着的时间变化，并提出了自己的定量放射治疗分析的最困难的问题之一。在不完全理解这种变化的情况下，治疗结果，特别是正常组织剂量反应，不能正确地与规定剂量相关，从而阻止可靠的治疗评估和优化。对于高保形治疗，该基本问题进一步恶化。我们的假设是，量化放疗中的TVODD对于实现先进治疗技术（例如IMRT）的潜力至关重要。如果对变化进行量化，则可以利用关键正常结构中剂量分布的时间变化的知识来改善正在进行的治疗。否则，TVODD仍然是治疗过程中不确定性的主要来源。为了检验我们的假设，将追求以下具体目标：（1）将软组织生物力学模型和有限元算法集成到基于图像的器官配准和评估系统中，并执行研究以确定配准模型对组织力学特性和器官边界条件的变化的灵敏度，（2）在体内验证基于图像的器官配准，通过使用从具有嵌入的放射性标记物的患者收集的多个CT图像，（3）进行临床研究以确定器官剂量分布的时间变化对治疗计划评估和决策的潜在影响。探索实用的方法，包括器官剂量分布的时间变化，估计从图像反馈，在治疗计划优化。