OPTIMIZATION OF HIGH DOSE CONFORMAL THERAPY

高剂量适形治疗的优化

• 批准号: 2100446
• 负责人: BENEDICK A FRAASS
• 金额: $ 96.93万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-04-09 至 1998-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2100446
• 关键词: biomedical automation; digital imaging; mathematical model; neoplasm /cancer radiation therapy; radiation dosage

The overall objective of this program project is to study several major components of high dose conformal therapy in order to optimize our ability to plan and deliver this kind of therapy. Only after the technical and clinical issues involved in conformal therapy are understood and optimized will formal tests of the clinical efficacy be possible. The projects proposed here will optimize our ability to 1) plan and evaluate conformal plans, 2) create sophisticated dose distributions, 3) improve the geometrical precision with which we treat patients, and 4) determine the clinical dose constraints for tumor and normal tissue doses which will be used for these conformal treatments. The University of Michigan has a unique ability to perform this work, based on its six years of experience with clinical 3-D treatment planning and dose escalation using static conformal therapy, the availability of several computer-controlled conformal therapy machines, and four years of work on the methodology to be used for conformal treatment delivery. In Project 1, we will develop several methods for optimization of treatment plans for use with computer-controlled conformal therapy techniques, including interactive, volumetric, and computer-automated optimization techniques, and then perform a clinical treatment planning study to evaluate the usefulness of the techniques in the clinical treatment sites studied in Project 4. In Project 2, we will develop several techniques which should optimize our ability to create desirable dose distributions, through the use of conformal field shaping and beam intensity modulation, and followed by evaluation of the clinical constrains and usefulness of the various techniques. In Project 3, we will study the precision with which patient localization, and target volume verification can be achieved, and will develop methods to minimize the geometric margins which must be used. In Project 4, we use a series of clinical dose escalation trials in prostate, brain, liver, and lung cancer, and a normal tissue dose reduction study in the head and neck area, to attempt to obtain the tumor and normal tissue tolerance dose limits which will allow the optimization of the dose distributions which should be delivered for these various diseases. All four projects are supported by three cores: Core A, which supports administration and statistics for the program project; Core B, which provides clinical physics, treatment planning and dosimetry support; and Core C, which supports computer programming and digital imaging support required by the various projects.

该计划项目的总体目标是研究几个主要 高剂量适形治疗的组成部分，以优化我们的 计划和实施此类治疗的能力。 仅在之后 适形治疗涉及的技术和临床问题是 临床疗效的正式测试是否会被理解和优化 可能的。 这里提出的项目将优化我们的能力：1) 规划和评估适形计划，2) 创建复杂的剂量 分布，3）提高我们处理的几何精度 患者，4) 确定肿瘤和患者的临床剂量限制 将用于这些适形治疗的正常组织剂量。 密歇根大学拥有执行这项工作的独特能力， 基于六年的临床 3D 治疗计划经验 和使用静态适形治疗的剂量递增， 几台计算机控制的适形治疗机，四年 关于用于适形治疗实施的方法的工作。 在项目1中，我们将开发几种优化方法 与计算机控制的适形疗法一起使用的治疗计划 技术，包括交互式、体积测量和计算机自动化 优化技术，然后执行临床治疗计划 研究评估该技术在临床中的有用性 项目 4 研究的治疗点。在项目 2 中，我们将开发 几种可以优化我们创造理想的能力的技术 通过使用共形场整形和光束来实现剂量分布 强度调制，然后进行临床评估 各种技术的限制和有用性。 在项目3中，我们 将研究患者定位和目标的精确度 可以实现体积验证，并将开发方法以尽量减少 必须使用的几何边距。 在项目4中，我们使用了一系列 前列腺、大脑、肝脏和肺的临床剂量递增试验 癌症以及头颈部正常组织剂量减少研究 面积，试图获得肿瘤和正常组织的耐受剂量 限制将允许优化剂量分布 应针对这些不同的疾病进行治疗。 所有四个项目都是 由三个核心支持：核心 A，支持管理和 计划项目的统计数据；核心B，提供临床 物理、治疗计划和剂量测定支持；和核心 C，其中 支持计算机编程和数字成像所需的支持 各种项目。