Radioluminescence dosimetry solution for precision radiation therapy

用于精密放射治疗的放射发光剂量学解决方案 项目总结 放射治疗(RT)是肿瘤治疗的重要手段。临床上，超过60%的 美国的癌症患者每年接受RT治疗，作为治疗或缓解，或作为手术或 化疗。也有越来越多的证据表明，RT与检查点免疫疗法相结合 在治疗部分癌症患者方面非常有效。然而，在实践中，因为看不见的 X射线的性质及其与介质复杂的相互作用过程，如何保证几何和 入射RT光束的剂量测量精度是精确RT中的重大挑战 决定着患者治疗的成败。在这个项目中，我们形成了学术和产业的合作 研究和创建临床可翻译的解决方案，以显著提高RT质量保证 (QA)使用斯坦福大学最近开发的放射发光成像技术。基于我们的 有希望的初步工作，我们假设的准确性，有效性和成本几何和 直线加速器(LINAC)的剂量QA测量可以通过使用 放射发光成像策略的一部分。根据拟议的研究，我们预计亚毫米级的 几何测量的精度和剂量测量的精度将优于3% 与目前的做法相比，只需少几个数量级的时间和精力即可实现，删除 临床质量保证和减少潜在的放射治疗差错的主要工作流程瓶颈。这 研究提出了一种首创的能够瞬时测量复杂程度的机器QA策略 LINAC的几何和剂量学特性。如果成功，这一合作关系将带来更多 更安全、更有效的放射肿瘤学实践，使患者能够真正受益于现代放射治疗 VMAT、IMRT和SBRT等模式。此外，拟议的战略相当笼统，而且 本文开发的系统对其他治疗方式的质量保证应用也具有一定的参考价值 如质子治疗和高剂量率(HDR)近距离治疗。

Radioluminescence dosimetry solution for precision radiation therapy Project summary Radiation therapy (RT) is an important modality for cancer management. Clinically, over 60% of all cancer patients in the US receive RT each year as therapy or for palliation, or as an adjunct to surgery or chemotherapy. There is also increased evidence that RT in combination with checkpoint immunotherapy is highly effective in treating a subset of cancer patients. In practice, however, because of the invisible nature of X-ray and its complex interaction process with media, how to ensure the geometric and dosimetric accuracy of incident RT beams presents a significant challenge in precision RT and critically determines the success of patient treatment. In this project, we form an academic-industrial collaboration to investigate and create a clinically translatable solution for substantially improved RT quality assurance (QA) using a radioluminescence imaging technique recently developed at Stanford. On the basis of our promising preliminary work, we hypothesize that the accuracy, efficacy and cost of geometric and dosimetric QA measurements of linear accelerators (LINACs) can be substantially improved with the use of radioluminecsnce imaging strategy. With the proposed research, we anticipate that submillimeter accuracy in geometric measurements and better than 3% accuracy in dosimetric measurements will be readily achievable with orders of magnitude less time and effort as compared to current practice, removing a major workflow bottleneck in clinical QA and reducing potential radiation treatment errors. This research presents a first-of-its-kind machine QA strategy capable of instantaneously measuring complex geometric and dosimetric characteristics of LINACs. If successful, the partnership will lead to a much safer and more efficient radiation oncology practice, and enable patients to truly benefit from modern RT modalities such as VMAT and IMRT and SBRT. In addition, the proposed strategy is quite general and the system developed here will also be valuable for QA applications of other treatment modalities, such as proton therapy and high-dose rate (HDR) brachytherapy.