Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy

结合辐射声学和超声成像，用于放射治疗的实时指导

• 批准号: 10261532
• 负责人: Issam M. El Naqa
• 金额: $ 48.96万
• 依托单位: H. LEE MOFFITT CANCER CTR & RES INST
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-05 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10261532
• 关键词: 3-Dimensional; 3D ultrasound; Abdomen; Acoustics; Affect; Anatomy; Animals; Area; Calibration; Cancer Patient; Caring; Cesarean section; Characteristics; Clinic; Clinical; Clinical Research; Clinical Treatment; Deposition; Detection; Diagnostic Imaging; Dose; Effectiveness; Elements; Exposure to; Feedback; Financial compensation; Gel; Generations; Goals; Image; Investigation; Ionizing radiation; Lasers; Lead; Linear Accelerator Radiotherapy Systems; Liver; Location; Magnetic Resonance Imaging; Malignant Neoplasms; Malignant neoplasm of abdomen; Malignant neoplasm of gastrointestinal tract; Malignant neoplasm of liver; Malignant neoplasm of pancreas; Measurement; Measures; Medical Imaging; Methods; Modeling; Monitor; Morphologic artifacts; Motion; Normal tissue morphology; Oncology; Online Systems; Optics; Organ; Oryctolagus cuniculus; Outcome; Pancreas; Patients; Pattern; Performance; Physiological; Pilot Projects; Pre-Clinical Model; Process; Property; Radiation; Radiation Dose Unit; Radiation Oncology; Radiation Physics; Radiation therapy; Reporting; Resolution; Roentgen Rays; Safety; Shapes; Signal Transduction; System; Technology; Testing; Three-Dimensional Imaging; Time; Tissues; Toxic effect; Transducers; Translations; Treatment outcome; Ultrasonography; Uncertainty; Variant; X-Ray Computed Tomography; absorption; acoustic imaging; anatomic imaging; base; cancer site; cancer type; cost; cost effective; detector; dosimetry; effective therapy; image guided; improved; in vivo; novel; optimal treatments; phantom model; photoacoustic imaging; radiation delivery; real-time images; respiratory; response; side effect; systems research; tomography; treatment planning; tumor; tumor eradication

Radiotherapy can be a highly effective treatment for many types of cancers. A major impediment to achieving its full curative promise is the current delivery process, where typically the originally planned tumor area is exposed to a fixed pattern of ionizing radiation over time irrespective of target deformations, organ motion, or function. To avoid misses, geometric uncertainties in this feedforward process are dealt with by increasing the planning margin around the tumor, but of necessity result in unnecessary exposure of uninvolved tissue which can lead to debilitating toxicities. We hypothesize that the unwanted radiation dose to normal tissues could be significantly reduced by using a feedback system that would “know” the shape and location of the tumor as well as the location and intensity of the irradiated dose during delivery. This framework would require the unique ability to simultaneously image the absorbed dose and the targeted tumor anatomy during radiation delivery, which is not possible with currently existing technologies. A known phenomenon in radiation physics is the generation of acoustic waves due to thermal expansion of a substance following the absorption of penetrating radiation. Detection of this radiation induced acoustic signal from clinical treatment beams has been recently demonstrated but has not been clinically realized. That signal exists “for free” in real time as a consequence of the treatment beam. The signal can be measured with ultrasound detectors and processed to reveal the location and intensity of the deposited energy/dose. Furthermore, ultrasound technologies have also long been established for medical imaging and monitoring of tumor size, shape and location, without introducing ionizing radiation. Therefore, we propose to combine measurements of radiation acoustics and ultrasound imaging in an integrated system using advanced matrix array probes to determine in real-time the volumetric delivered radiation dose with respect to that day’s tumor shape and location, and ultimately to optimize tumor targeting via online feedback. The system will be optimized in phantoms and preclinical models. Then, its feasibility and versatility will be tested for treatment of tumors in the liver and the pancreas, two aggressive cancer sites where misplaced dose due to deformation and physiological motion not only compromises tumor eradication but also affects vital functions in the patient and subsequent treatment outcomes. Impact statement: We aim to implement new, safe, simple, cost effective technology and methods for online guidance of radiotherapy delivery that can provide simultaneous tumor tracking and dose compensation capabilities. These technologies will be evaluated in a pilot clinical study of liver and pancreatic cancers to demonstrate feasibility and potentials for translation. If successful, this feedback technology will have a significant impact on personalizing radiotherapy delivery and achieving optimal treatment outcomes.

放射疗法对于许多类型的癌症来说是一种高效的治疗方法，但这是实现其目标的主要障碍。 完全治愈的希望是当前的交付过程，通常最初计划的肿瘤区域会被暴露 随着时间的推移，电离辐射的固定模式，无论目标变形、器官运动或功能如何。 避免遗漏，通过增加规划来处理此前馈过程中的几何不确定性 肿瘤周围的边缘，但必然会导致未受累组织不必要的暴露，从而导致 我们发现，对正常组织的不必要的辐射剂量可能会显着增加。 通过使用“知道”肿瘤的形状和位置以及位置的反馈系统来减少 该框架需要独特的能力来确定交付期间的辐照剂量。 在放射治疗过程中同时对吸收剂量和目标肿瘤解剖结构进行成像，这不是 用目前现有的技术是可能的。 辐射物理学中的一个已知现象是由于热膨胀而产生声波 吸收穿透辐射后的物质，检测该辐射引起的声信号。 来自临床治疗束的信号最近已被证明但尚未在临床上实现。 由于治疗光束“免费”存在，因此可以测量信号。 超声波探测器并进行处理以揭示沉积能量/剂量的位置和强度。 此外，超声技术也早已用于医学成像和监测 肿瘤的大小、形状和位置，无需引入电离辐射。 因此，我们建议将辐射声学和超声成像的测量结合起来 集成系统使用先进的矩阵阵列探头实时确定输送的体积 相对于当天肿瘤形状和位置的辐射剂量，并最终通过以下方式优化肿瘤靶向 然后，系统将在体模和临床前模型中进行优化。 将测试治疗肝脏和胰腺肿瘤的多功能性，这两个侵袭性癌症部位 由于变形和生理运动导致的剂量错误不仅会影响肿瘤的根除，而且 影响患者的重要功能和后续治疗结果。 影响陈述：我们的目标是实施新的、安全的、简单的、具有成本效益的在线技术和方法 指导放射治疗的实施，可以同时提供肿瘤跟踪和剂量补偿 这些技术将在肝癌和胰腺癌的试点临床研究中进行评估，以 展示翻译的可行性和潜力 如果成功，这种反馈技术将具有 对个性化最佳放射治疗实施和实现治疗结果产生重大影响。