Management of Breathing effects in Radiotherapy Planning

放射治疗计划中呼吸效应的管理

基本信息

批准号：
7318498
负责人：
THOMAS R. BORTFELD
金额：
$ 33.36万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-07-01 至 2012-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7318498
关键词：
3-Dimensional Accounting Acute Address Anatomic structures Archives Area Blur Breast Breathing Bronchial Tree Cancer Etiology Cancer Patient Characteristics Chest Clinical Clinical Treatment Clinical Trials Colon Communities Complex Complication Computer Simulation Daily Data Data Set Databases Development Dose Dose-Limiting Economics Error Sources Esophagitis Esophagus Financial compensation Fractionation Future GDF15 gene Genus Cola Goals Grant Head and neck structure Heart Image Imaging Device Intensity-Modulated Radiotherapy Investigation Lead Left Lesion Lesion by Stage Location Lung Malignant neoplasm of lung Maps Marriage Methods Modeling Morphologic artifacts Motion Non-Small-Cell Lung Carcinoma Normal tissue morphology Numbers Outcome PLAB Protein Patients Pattern Phase Planning Techniques Pneumonia Positioning Attribute Principal Investigator Probability Process Prostate Radiation Radiation Oncology Radiation Pneumonitis Radiation Therapy Oncology Group Radiation therapy Range Rate Relative (related person)Research Research Personnel Resectable Resistance Resource Sharing Risk Scanning Shapes Signal Transduction Simulate Software Tools Solutions Statistically Significant Stream Structure Structure of parenchyma of lung Support System System Techniques Technology Testing Time Tissues Toxic effect Translating Treatment outcome Uncertainty University of Texas M D Anderson Cancer Center Variant Weight Woman Work X-Ray Computed Tomography base cancer site cancer therapy cohort collaboratory cost data mining day density experience image registration improved infancy innovation interdisciplinary collaboration irradiation lung volume men mortality novel pre-clinical programs repository simulation tool treatment planning tumor

项目摘要

DESCRIPTION (provided by applicant): Intensity modulated radiation therapy has been shown to improve radiotherapy dose distributions when applied to lung treatments, especially if the delivery can be registered to the patient's breathing cycle. However, many technical issues associated with breathing-registered IMRT treatment planning have not yet been addressed, and comparisons between potential planning and delivery approaches are lacking. The primary goal of this project is to determine the tradeoffs between increased planning and delivery complexity vs. improvements in cumulative patient dose distributions and the expected impact on treatment outcomes. In an interdisciplinary collaboration, a shared cross-platform toolset, techniques, and test data sets will be developed and eventually publicly archived for use by other researchers. Within this framework, planning techniques to simulate a range of potential clinical options, from simple to complex, will be developed, including: simple margins, accounting for tumor motion in a statistical way, gating, and fully synchronizing IMRT delivery with breathing-phase. It is hypothesized that a significant fraction of simulated lung patients (who cannot achieve breath-hold techniques) will have a predicted outcome benefit from the use of breathing-registered planning and delivery. In Specific Aim SA #1 (4-D optimization), temporo-spatial ("4-D") IMRT planning and optimization methods for all relevant delivery techniques will be developed. In SA #2 (Management of uncertainties and daily variations), those methods will be generalized to explicitly account for uncertainties and day-to-day variations. In SA #3 (Clinical impact), the potential impact of the techniques in terms of likely dosimetric and outcome improvements will be estimated for a statistically significant cohort of simulated patient plans. This research will provide, firstly, guidance for understanding the potential outcomes impact of 4-D radiotherapy treatments; secondly, robust solutions to challenging 4-D treatment planning problems; and thirdly, shared data and software tools for other researchers in the area of 4-D planning.

描述（由申请人提供）：强度调制放射治疗已被证明在应用于肺部治疗时可以改善放射治疗剂量分布，特别是如果可以将递送与患者的呼吸周期相匹配。然而，与呼吸记录 IMRT 治疗计划相关的许多技术问题尚未得到解决，并且缺乏潜在计划和实施方法之间的比较。该项目的主要目标是确定增加的计划和交付复杂性与改善累积患者剂量分布以及对治疗结果的预期影响之间的权衡。在跨学科合作中，将开发共享的跨平台工具集、技术和测试数据集，并最终公开存档以供其他研究人员使用。在此框架内，将开发模拟一系列从简单到复杂的潜在临床选项的规划技术，包括：简单边缘、以统计方式解释肿瘤运动、门控以及将 IMRT 传输与呼吸阶段完全同步。据推测，很大一部分模拟肺患者（无法实现屏气技术）将从使用呼吸记录计划和交付中获得预期的结果。在特定目标 SA #1（4-D 优化）中，将开发所有相关交付技术的时空（“4-D”）IMRT 规划和优化方法。在 SA #2（不确定性和日常变化的管理）中，这些方法将被推广以明确考虑不确定性和日常变化。在 SA #3（临床影响）中，将针对统计上显着的模拟患者计划队列估计这些技术在可能的剂量测定和结果改善方面的潜在影响。这项研究首先将为了解 4-D 放射治疗的潜在结果影响提供指导；其次，针对具有挑战性的 4-D 治疗计划问题提供稳健的解决方案；第三，为 4 维规划领域的其他研究人员共享数据和软件工具。