Development of optical spectroscopic and 3D dosimetric systems in radiation therapy

放射治疗中光学光谱和 3D 剂量测定系统的开发

• 批准号: RGPIN-2020-07232
• 负责人: Jirasek, Andrew
• 金额: $ 4.44万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=761690
• 关键词: Development; optical; spectroscopic; 3D; dosimetric

Over 200,000 new cancer cases are diagnosed in Canada every year, and ~50% of all patients will receive radiotherapy (RT) during the course of their treatment. Personalized and high precision RT are key goals for the next generation of cancer care and my research program will generate basic knowledge in both biological and technical aspects of RT, specifically: (i) the use of Raman spectroscopic (RS) technologies to further the basic understanding of cellular and tissue response to RT, and (ii) the development of 3D radiation measurement tools for the understanding of radiation delivery accuracy. RS FOR UNDERSTANDING RADIOBIOLOGICAL RESPONSE IN RT INTRODUCTION: The concept of personalized dose prescription in RT is currently a major focus of medical physics research and stands to completely transform current RT practice. My previous DG has developed RS-based tools for understanding radiobiological response in cellular and tissue environments with the long term goal of aiding in the development of personalized RT. This DG aims to build advanced analytical protocols into our RS framework. OBJECTIVES: Long term: To develop RS as an analytical tool for understanding biological response to ionizing radiation. 5-year term: (I) To experimentally establish the RS response signatures for a panel of tumour and normal cell lines exposed to RT, thus providing detailed experimental data for biochemical model building. (II) To build data analytic decomposition algorithms to identify biochemical components contributing to RT-induced spectral response. (III) To build a comprehensive logistic regression model of biological RT response. IMPACT: This work will pave the path towards assays capable of providing detailed understanding of biological response to RT, thus enabling future developments in personalized RT. 3D RADIATION DOSIMERTY INTRODUCTION: Due to the highly conformal nature of modern RT delivery strategies, the combination of 3D geometric localization with high dosimetric accuracy remains of paramount importance in RT. My previous DG has developed both optical and x-ray CT-based 3D radiation dosimetry systems for dose verification of complex RT treatment protocols. However, current systems lack dose accuracy or ease of use, and have not gained widespread clinical acceptance. OBJECTIVES: Long term: To develop 3D radiation dosimeters for experimental measurement of complex RT deliveries. 5-year term: (I) To optimize the spatial and dosimetric accuracy of cone beam CT polymer gel dosimetry. (II) To develop a solid tank, iterative reconstruction-based optical CT system. IMPACT: Tools capable of measuring radiation dose with high accuracy and spatial localization will play a central role in future developments of highly complex radiation deliveries. For example, 3D dosimetry systems stand to play a leading role in cases of small, spatially distributed brain metastases where both dose accuracy and spatial localization are of paramount importance.

加拿大每年新诊断的癌症病例超过20万例，约50%的患者将在治疗过程中接受放射治疗。个性化和高精度的放射治疗是下一代癌症护理的关键目标，我的研究计划将产生放射治疗生物学和技术方面的基本知识，特别是：(I)使用拉曼光谱(RS)技术来加深对细胞和组织对放射治疗的基本了解，以及(Ii)开发3D辐射测量工具，以了解辐射传递的准确性。放射治疗中用于理解放射生物学反应的RS简介：放射治疗中的个性化剂量处方的概念是目前医学物理学研究的一个主要焦点，并将彻底改变目前的放射治疗实践。我之前的DG开发了基于RS的工具，用于了解细胞和组织环境中的放射生物学反应，长期目标是帮助开发个性化的RT。此DG旨在将先进的分析协议构建到我们的RS框架中。目标：长期：发展遥感作为一种分析工具，用于了解生物对电离辐射的反应。为期5年：(I)实验建立一组肿瘤和正常细胞系在放射治疗后的RS响应信号，从而为生化模型的建立提供详细的实验数据。(Ii)建立数据分析分解算法，以确定对RT诱导的光谱反应有贡献的生化成分。(3)建立生物RT反应的综合Logistic回归模型。影响：这项工作将为能够提供对RT生物反应的详细了解的检测铺平道路，从而使个性化RT的未来发展成为可能。3D辐射剂量简介：由于现代放射治疗策略的高度共形性质，3D几何定位与高剂量测量精度的结合在放射治疗中仍然是至关重要的。我之前的DG开发了基于光学和X射线CT的3D辐射剂量测量系统，用于复杂RT治疗方案的剂量验证。然而，目前的系统缺乏剂量准确性或易用性，也没有得到临床上的广泛接受。目标：长期：开发3D辐射剂量计，用于复杂RT分娩的实验测量。为期5年：(I)优化锥束CT聚合物凝胶剂量学的空间和剂量学精度。(Ii)开发基于迭代重建的固体储罐光学CT系统。影响：能够以高精度和空间定位测量辐射剂量的工具将在未来发展高度复杂的辐射传输方面发挥核心作用。例如，3D剂量测量系统在空间分布的小型脑转移瘤中发挥着主导作用，其中剂量精度和空间定位都是至关重要的。