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首页> 外文会议>PACS and Imaging Informatics; Progress in Biomedical Optics and Imaging; vol.8,no.35; Proceedings of SPIE-The International Society for Optical Engineering; vol.6516 >A Knowledge-Based Imaging Informatics Approach to Managing Patients Treated with Proton Beam Therapy
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A Knowledge-Based Imaging Informatics Approach to Managing Patients Treated with Proton Beam Therapy

机译：一种基于知识的影像信息学方法来管理接受质子束治疗的患者

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摘要

Last year we presented work on an imaging informatics approach towards developing quantitative knowledge and tools based on standardized DICOM-RT objects for Image-Guided Radiation Therapy. In this paper, we have extended this methodology to perform knowledge-based medical imaging informatics research on specific clinical scenarios where brain tumor patients are treated with Proton Beam Therapy (PT). PT utilizes energized charged particles, protons, to deliver dose to the target region. Protons are energized to specific velocities which determine where they will deposit maximum energy within the body to destroy cancerous cells. Treatment Planning is similar in workflow to traditional Radiation Therapy methods such as Intensity-Modulated Radiation Therapy (IMRT) which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT Objects were drafted in a DICOM-RT Supplement 102 specifically for Ion Therapy which includes Proton Therapy. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the Epr DICOM-RT system were researched. We have developed a methodology to perform knowledge-based medical imaging informatics research on specific clinical scenarios. This methodology can be used to extend to Proton Therapy and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize "inverse treatment planning". In this paper, we present the initial steps toward extending this methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved "knowledge-enhanced treatment planning" approach can be realized.
机译：去年，我们介绍了一种影像学信息学方法，该方法旨在开发基于标准化DICOM-RT对象的定量知识和工具，以进行图像引导放射治疗。在本文中，我们将这种方法扩展到可以在质子束疗法（PT）治疗脑肿瘤患者的特定临床情况下进行基于知识的医学影像信息学研究。 PT利用通电的带电粒子，质子将剂量输送到目标区域。质子被赋予特定的速度，从而确定它们将在体内沉积最大能量以破坏癌细胞的位置。治疗计划在工作流程上类似于传统的放射治疗方法，例如强度调制放射治疗（IMRT），该方法利用先验知识以相反的方式推动治疗计划。 2006年3月，在DICOM-RT增补程序102中专门针对离子治疗（包括质子治疗）起草了两个新的RT对象。研究了DICOM-RT-ION对象的标准化，知识库的发展以及可以作为Epr DICOM-RT系统的附加功能的决策支持工具。我们已经开发出一种方法，可以在特定的临床情况下进行基于知识的医学影像信息学研究。该方法可用于扩展质子治疗以及在患者治疗过程中利用“逆向治疗计划”开发未来的临床决策方案。在本文中，我们介绍了扩展PT方法的初步步骤，并为开发针对PT治疗的癌症患者的未来决策支持工具奠定了基础。通过整合旨在支持决策过程的决策支持知识和工具，可以实现一种新的改进的“知识增强型治疗计划”方法。

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