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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=718742
• 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.

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。