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首页> 外文学位 >Mining an EPR system using a treatment plan navigator for radiation toxicity to evaluate proton therapy treatment protocol for prostate cancer .
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Mining an EPR system using a treatment plan navigator for radiation toxicity to evaluate proton therapy treatment protocol for prostate cancer .

机译：使用治疗计划导航仪挖掘EPR系统的放射线毒性，以评价质子疗法治疗前列腺癌的方案。

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摘要

Radiotherapy (RT) is an image-intensive specialty in medicine that utilizes radiation for treatment of cancer. Similar to x-ray beam treatment, proton therapy (PT) utilizes high energy particle proton beam to kill cancer cells at the target region. Due to the physical properties of the proton beam, PT delivers dose with higher accuracy than conventional radiotherapy with x-ray beams and no exit dose. In PT, patient data are scattered in different systems within the oncology department which hinders the research on many topics such as whether PT with higher dose or different delivery schedules is more beneficial to reducing toxicity of prostate cancer patients. This research aims to introduce a data mining method and a treatment plan navigator utilizing the infrastructure and data repository of a PT electronic patient record (ePR) system that can ultimately help to minimize radiation toxicity in prostate cancer patients and improve patient outcomes in future proton therapy treatment.;The workflow of a proton therapy treatment in oncology department was reviewed, and a clinical data model and data flow was designed. A prototype PT ePR system compliant with Digital Imaging and Communications In Medicine (DICOM) was developed to store prostate cancer patient images, treatment plans and related clinical data. The ePR system consists of four main components: (1) Data Gateway; (2) ePR Server; (3) Decision Support Tools; and (4) Visualization and Display Tools. The decision support tools and visualization tools are currently developed based on DICOM images, DICOM-RT and DICOM-RT-ION objects with collaboration with James M. Slater, M.D. Proton Treatment and Research Center, Loma Linda University Medical Center (LLUMC) and its oncologists and physicists. The data from prostate cancer patients treated with hypofractionation protocol proton therapy at LLUMC was used for evaluating the effectiveness of the ePR system. Each patient dataset includes a set of computed tomography (CT) DICOM images and four DICOM RT and RT-ION objects. In addition, clinical outcomes data collected from PT cases were included in the overall database to form a knowledge base for future outcomes analysis. A data mining search engine and an intelligent treatment plan navigator (ITPN) has been developed and integrated with the ePR system to utilize the knowledge base and data for decision support, which was evaluated using a hypothetical patient.;In general, the ePR system with centralized data shows promise in its ability to facilitate the proton therapy workflow. The scope of the PT ePR system in this dissertation is for prostate cancer patient treated with hypofractionation protocol in proton therapy. The system was evaluated with 41 patients collected for this protocol. The goals of my research in the ePR System for prostate cancer patients are: (1) design a system based on the above specifications tailored to proton therapy, (2) to improve efficiency in data collection and integration to facilitate outcomes analysis with this system, and (3) to utilize knowledge extracted from the collected data to help clinical decision making process for a better treatment plan of prostate cancer patient treated with new hypofractionation treatment protocol.
机译：放射疗法（RT）是医学领域中图像密集型的专业，它利用放射线治疗癌症。类似于X射线束治疗，质子治疗（PT）利用高能粒子质子束杀死目标区域的癌细胞。由于质子束的物理特性，与传统的X射线束放射疗法相比，PT可以以更高的精度提供剂量，并且没有出射剂量。在PT中，患者数据分散在肿瘤科内的不同系统中，这妨碍了对许多主题的研究，例如更高剂量的PT或不同的给药时间表是否对降低前列腺癌患者的毒性更有利。这项研究旨在介绍一种利用PT电子病历（ePR）系统的基础结构和数据存储库的数据挖掘方法和治疗计划导航器，最终可以帮助最大程度地减少前列腺癌患者的放射毒性并改善未来质子治疗的结果回顾了肿瘤科质子治疗的工作流程，设计了临床数据模型和数据流。开发了符合医学数字成像和通信（DICOM）标准的PT ePR原型系统，用于存储前列腺癌患者的图像，治疗计划和相关的临床数据。 ePR系统由四个主要组件组成：（1）数据网关； （2）ePR服务器； （3）决策支持工具； （4）可视化和显示工具。决策支持工具和可视化工具目前是根据DICOM图像，DICOM-RT和DICOM-RT-ION对象与洛马琳达大学医学中心（LLUMC）的质子治疗和研究中心医学博士James M. Slater及其合作开发的肿瘤学家和物理学家。来自在LLUMC接受质子治疗的超分割方案质子治疗的前列腺癌患者的数据用于评估ePR系统的有效性。每个患者数据集都包含一组计算机断层扫描（CT）DICOM图像以及四个DICOM RT和RT-ION对象。此外，从PT病例中收集的临床结局数据也包括在整个数据库中，以形成用于将来结局分析的知识库。已开发了数据挖掘搜索引擎和智能治疗计划导航器（ITPN），并将其与ePR系统集成，以利用知识库和数据提供决策支持，并使用假设的患者进行评估。集中的数据显示了其促进质子治疗工作流程的潜力。本论文的PT ePR系统适用于质子治疗中使用超分割方案治疗的前列腺癌患者。评估了该方案收集的41名患者的系统。我在针对前列腺癌患者的ePR系统中的研究目标是：（1）根据上述针对质子治疗的规范设计系统，（2）提高数据收集和集成效率，以利于使用该系统进行结果分析， （3）利用从收集到的数据中提取的知识来帮助临床决策过程，以制定更好的新分级治疗方案治疗前列腺癌患者的治疗计划。

著录项

  • 作者

    Le, Anh Hong Tu.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Engineering Biomedical.;Health Sciences Oncology.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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