Multi-Task MR Simulation for Abdominal Radiation Treatment Planning

用于腹部放射治疗计划的多任务 MR 模拟

• 批准号: 10331615
• 负责人: Zhaoyang Fan
• 金额: $ 50.71万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10331615
• 关键词: 3-Dimensional; Abdomen; Address; Adoption; Anatomy; Breathing; Clinical; Consumption; Data; Data Collection; Detection; Development; Dose; Effectiveness; Fatty acid glycerol esters; Future; Geometry; Goals; Image; Magnetic Resonance; Magnetic Resonance Imaging; Manuals; Methods; Modality; Motion; Normal tissue morphology; Organ; Outcome; Pancreas; Patients; Phase; Positioning Attribute; Precision therapeutics; Procedures; Protocols documentation; Protons; Radiation Dose Unit; Radiation therapy; Research; Risk; Scanning; Site; Solid; Spatial Distribution; Study Subject; Techniques; Testing; Three-Dimensional Image; Time; Tissues; Variant; Water; X-Ray Computed Tomography; automated segmentation; base; cancer diagnosis; cancer radiation therapy; computerized data processing; contrast imaging; cost; deep learning; density; effectiveness evaluation; experience; image processing; image reconstruction; improved; interest; learning strategy; multimodality; multitask; novel; pancreatic cancer patients; predictive modeling; prevent; respiratory; simulation; soft tissue; standard of care; success; tool; treatment planning; tumor

The accuracy of radiation treatment planning (RTP) heavily influences the effectiveness of external beam radiotherapy (EBRT). Individualized RTP begins with a “simulation”, in which the patient in a treatment position is commonly scanned using computed tomography (CT) to define the treatment target and organs at risk (OARs). When soft-tissue contrast is inadequate to support accurate target and OAR delineation in CT based RTP, conservatively large treatment margins are used to avoid a geometric miss. The crude treatment prevents delivering sufficient radiation dose to the tumor without exceeding the tolerance of surrounding normal tissues. Magnetic resonance (MR) can be used as a simulation platform complementary to CT for improved soft-tissue conspicuity. Yet, such a complicated, costly and tedious multi-modal RTP workflow along with unavoidable systematic MR-CT co-registration errors has limited its applications in EBRT, especially at the abdominal site whereby anatomies are highly mobile. Over the past few years, there is a keen interest in the integration of MR alone into RTP and even the therapy workflow (i.e. MR-guided radiotherapy, MRgRT). The abdomen poses critical challenges to MR simulation. Current MR imaging sequences are suboptimal to produce motion-free images and resolve respiratory motion. MR data processing for abdominal RTP is underdeveloped. Contouring of target and OARs typically relies on manual, tedious procedures that are time-consuming and variation-prone. In this proposal, we will substantially improve the MR acquisition and automated multi-organ segmentation, so the potential of MR as a simulation modality can be fully unleashed for abdominal EBRT. Three specific aims will be completed. In Aim 1, we will develop and validate a standalone multi-task MR (MT-MR) sequence dedicated to abdominal MR simulation. In Aim 2, we will develop an MT-MR simulation based multi-organ auto- segmentation tool. In Aim 3, we will optimize a deep learning-based dose prediction model and assess the effectiveness of the MT-MR based RTP workflow in adaptive stereotactic body radiotherapy planning of pancreatic cancer patients. Successful completion of the project will significantly promote the clinical adoption of MR simulation for abdominal RTP, which will improve treatment precision and outcomes. Moreover, the developed techniques will open the door to future studies aiming at optimizations in both cancer diagnosis and radiotherapy.

辐射治疗计划（RTP）的准确性严重影响了外束的有效性 放疗（EBRT）。个性化的RTP始于“模拟”，其中患者处于治疗位置 通常使用计算机断层扫描（CT）扫描以定义有风险的治疗目标和器官（OARS）。 当软组织对比不足以支持基于CT的RTP中的准确目标和OAR描述时， 保守的治疗余量用于避免几何失误。原油治疗可防止 在不超过周围正常组织的耐受性的情况下，将足够的辐射剂量输送到肿瘤。 磁共振（MR）可以用作CT的模拟平台完善，以改善软组织 显着性。然而，如此复杂，昂贵和乏味的多模式RTP工作流程以及不可避免的 系统的MR-CT共同注册错误限制了其在EBRT中的应用，尤其是在腹部部位 该解剖学高度流动。在过去的几年中，对MR的整合产生了浓厚的兴趣 单独进入RTP甚至治疗工作流程（即MR引导放射疗法，MRGRT）。腹部位置 对仿真先生面临的关键挑战。当前的MR成像序列次优于产生无运动的 图像并解决呼吸运动。腹部RTP的MR数据处理欠发达。轮廓 目标和桨通常依赖于耗时且容易变化的手动，乏味的程序。 在此提案中，我们将显着改善MR采集和自动化多器官细分，因此 对于腹部EBRT，可以完全释放MR作为模拟方式的潜力。三个具体目标 将完成。在AIM 1中，我们将开发和验证独立的多任务MR（MT-MR）序列 专用于腹部MR模拟。在AIM 2中，我们将开发基于MT MR模拟的多器官自动 分割工具。在AIM 3中，我们将优化一个基于深度学习的剂量预测模型和评估 基于MT-MR的RTP工作流程在适应性立体定向身体放疗计划中的有效性 胰腺癌患者。成功完成该项目将大大促进临床采用 MR模拟腹部RTP，这将提高治疗精度和结果。而且， 开发的技术将为未来的研究打开旨在优化癌症诊断和 放疗。