Image Guided Intergrated Active Breath Hold Radiotherapy

图像引导综合主动屏气放疗

• 批准号: 7102043
• 负责人: Geoffrey D Hugo
• 金额: $ 19.95万
• 依托单位: WILLIAM BEAUMONT HOSPITAL RESEARCH INST
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7102043
• 关键词: clinical research; lung; neoplasm /cancer; reduction

DESCRIPTION (provided by applicant): Control of the primary tumor is a major goal of radiotherapy for cancer. Escalating the dose delivered to the tumor provides a method to improve local control. For lung cancer patients in particular, respiratory-induced organ motion has impeded safe dose escalation. Methods to compensate for this motion or to immobilize the tumor have been developed in recent years. However, these new technologies have not been applied in concert with reduced margins that would enable dose escalation due to the lack of data characterizing uncertainty in respiratory-induced organ motion. It is critical to characterize the uncertainties associated with tumor immobilization to enable the use of appropriate margins. It is our hypothesis that the combination of image guidance techniques and integrated active breath hold radiotherapy will enable characterization and reduction of the geometric uncertainties due to respiratory-induced organ motion. Active breathing control (ABC) has been shown to be a safe and effective means of tumor immobilization for breast cancer patients which allows for the reduction of the dose to normal tissue structures such as the heart and lungs. For lung cancer patients, however, the ABC technique must be adapted to increase compliance for patients with pulmonary compliance issues. Furthermore, the integration of image guidance techniques with ABC radiotherapy enables the characterization and reduction of daily setup variation and immobilization uncertainty. The specific aims of this project are to (1) Measure the random and systematic uncertainties of tumor immobilization for integrated active breath hold radiotherapy. (2) Evaluate a model image-guidance strategy with respect to the presence of these uncertainties and to design a treatment margin to compensate for these uncertainties. (3) Quantify residual setup error in a small population of patients.

描述（由申请人提供）：对原发性肿瘤的控制是癌症放射疗法的主要目标。升级输送到肿瘤的剂量提供了一种改善局部控制的方法。特别是对于肺癌患者，呼吸引起的器官运动阻碍了安全剂量升级。近年来已经开发了补偿这一运动或固定肿瘤的方法。但是，由于缺乏表征呼吸道诱导的器官运动不确定性的数据，这些新技术尚未与减少边缘的降低边缘一起应用。表征与肿瘤固定相关的不确定性以实现适当边缘的不确定性至关重要。我们的假设是，图像引导技术和综合主动呼吸放射疗法的结合将使由于呼吸诱导的器官运动引起的几何不确定性的表征和降低。活跃的呼吸控制（ABC）已被证明是乳腺癌患者肿瘤固定的一种安全有效的手段，可以将剂量减少到正常组织结构（例如心脏和肺部）。但是，对于肺癌患者，必须对ABC技术进行调整以提高患有肺部依从性问题的患者的依从性。此外，图像引导技术与ABC放射疗法的整合可以使每日设置变化和固定不确定性的表征和减少。该项目的具体目的是（1）测量肿瘤固定的随机和系统不确定性，用于综合主动呼吸疗法。 （2）评估这些不确定性的存在，并设计一个治疗余量以补偿这些不确定性。 （3）量化少数患者的残留设置误差。