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

加拿大每年诊断出超过200，000例新的癌症病例，其中约50%的患者在治疗过程中将接受放射治疗（RT）。个性化和高精度RT是下一代癌症护理的关键目标，我的研究计划将产生RT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，以进一步了解细胞和组织对RT的反应，以及（ii）开发3D辐射测量工具，以了解辐射输送的准确性。RS用于理解RT中的放射生物学反应引言：RT中的个性化剂量处方的概念目前是医学物理学研究的主要焦点，并将完全改变当前的RT实践。我以前的DG已经开发了基于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RT。本DG旨在将高级分析协议构建到我们的RS框架中。目标：长期：开发遥感技术，作为了解电离辐射生物反应的分析工具。5-年任期：（I）实验性地建立暴露于RT的一组肿瘤和正常细胞系的RS响应特征，从而为生物化学模型构建提供详细的实验数据。(II)建立数据分析分解算法，以识别有助于RT诱导光谱响应的生化成分。(III)建立生物学RT反应的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测定铺平道路，从而实现个性化RT的未来发展。3D辐射剂量简介：由于现代RT递送策略的高度适形性，3D几何定位与高剂量精确度的结合在RT中仍然是至关重要的。我的前任总干事开发了光学和X射线CT，基于3D辐射剂量测定系统的复杂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，并且尚未获得广泛的临床认可。目标：长期：开发三维辐射剂量计，用于复杂RT输送的实验测量。5-（1）优化锥形束CT聚合物凝胶剂量学的空间和剂量学精度。(II)研制了一种基于固体储罐、迭代重建的光学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高度复杂的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、空间分布的脑转移瘤的情况下发挥主导作用，其中剂量准确性和空间定位都是至关重要的。

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.