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

在加拿大，每年有超过20万的新癌症病例被诊断出来，大约50%的患者在治疗过程中接受放射治疗（RT）。个性化和高精度的放射治疗是下一代癌症治疗的关键目标，我的研究项目将在放射治疗的生物学和技术方面产生基本知识，特别是：(i)使用拉曼光谱（RS）技术进一步了解细胞和组织对放射治疗的基本反应，以及（ii）开发3D辐射测量工具以了解辐射传递的准确性。介绍：个体化放疗剂量处方的概念是目前医学物理学研究的一个主要焦点，它将彻底改变目前的放疗实践。我的前任总干事开发了基于RS的工具，用于了解细胞和组织环境中的放射生物学反应，其长期目标是帮助开发个性化的rt。该总干事旨在将先进的分析协议建立到我们的RS框架中。目的：长期：发展RS作为了解生物对电离辐射反应的分析工具。5年期限：(1)通过实验建立一组肿瘤和正常细胞系暴露于RT下的RS应答特征，为建立生化模型提供详细的实验数据。（II）构建数据分析分解算法，识别导致rt诱导光谱响应的生化成分。（三）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放射治疗的生物反应的详细了解的分析铺平道路，从而使个性化放射治疗的未来发展成为可能。由于现代放射治疗策略的高度适形性，3D几何定位与高剂量测量精度的结合在放射治疗中仍然至关重要。我之前的DG开发了光学和x射线ct为基础的3D辐射剂量测量系统，用于复杂的放射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，并没有得到广泛的临床接受。目的：长期：开发用于复杂放射治疗输送实验测量的三维辐射剂量计。5年期限：(1)优化锥形束CT聚合物凝胶剂量学的空间和剂量学精度。（二）开发基于固体油箱迭代重建的光学CT系统。影响：能够高精度测量辐射剂量和空间定位的工具将在高度复杂辐射输送的未来发展中发挥核心作用。例如，3D剂量测定系统在小的、空间分布的脑转移病例中发挥主导作用，其中剂量准确性和空间定位至关重要。

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.