Interactive contouring simulation (iContour) to improve outcomes of cancer patients treated with radiation therapy

交互式轮廓模拟 (iContour) 可改善接受放射治疗的癌症患者的治疗效果

• 批准号: 10627769
• 负责人: Erin Faye Gillespie
• 金额: $ 38.33万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10627769
• 关键词: Interactive; contouring; simulation; iContour; improve

PROJECT SUMMARY/ABSTRACT Radiation therapy plays a central role in the treatment of cancer. The delivery of safe and effective radiation hinges on the ability to identify the radiation target (tumor), and areas to avoid (normal tissues). The act of defining the radiation target – referred to as contouring – requires a sound understanding of anatomy, radiology, and most importantly the individual patient. Existing research clearly shows that poor contouring leads to increased toxicity, and decreased survival, which emphasizes the importance of contouring to deliver safe and effective radiation therapy. This project proposes to create and test a simulation-based educational approach to improving contour quality in radiation oncology. This contouring simulation tool will allow radiation oncology providers the ability to contour test cases and receive rapid feedback on the accuracy of their contours. We will use knowledge-based planning to help provide feedback on the real life risks of toxicity and chances of cure had their contours been used to treat that patient. Using iterative and participatory design we will engage stakeholders to develop a comprehensive interactive web-based simulation tool (iContour), as well as a more focused mobile application (iContour-mobile). Successful educational applications require user engagement, therefore to increase user engagement we will leverage components of gamification and social media. With a randomized clinical trial we will test the efficacy of these different simulation strategies on real patient contours. Overall, this study seeks to define the optimal simulation strategy of how to improve real-world contouring. If successful this simulation-based education approach could transform contouring education and play a central role in residency education, continuing medical education, and board certification for radiation oncology, and serve as a model for developing simulation training tools for other fields in medicine.

项目摘要/摘要 放射治疗在癌症治疗中起着核心作用。提供安全有效的辐射 取决于识别辐射目标（肿瘤）和要避免的区域（正常组织）的能力。的行为 定义辐射目标（称为轮廓绘制）需要对解剖学有充分的理解， 放射学，最重要的是个体患者。现有的研究清楚地表明， 导致毒性增加和生存率降低，这强调了轮廓的重要性， 安全有效的放射治疗。 本项目旨在创建和测试一种基于模拟的教育方法，以提高轮廓质量 放射肿瘤学这种轮廓模拟工具将使放射肿瘤学提供者能够 轮廓测试案例，并收到关于其轮廓准确性的快速反馈。我们将以知识为基础 计划帮助提供反馈的真实的生活风险的毒性和治愈的机会，如果他们的轮廓， 用来治疗那个病人使用迭代和参与式设计，我们将让利益相关者参与开发一个 全面的基于网络的交互式仿真工具（iContour），以及更专注的移动的应用程序 （iContour-mobile）。成功的教育应用程序需要用户参与，因此要提高用户 参与我们将利用游戏化和社交媒体的组成部分。通过随机临床试验， 将在真实的患者轮廓上测试这些不同模拟策略的功效。总的来说，这项研究旨在 定义如何改善真实世界轮廓的最佳模拟策略。 如果成功的话，这种基于模拟的教育方法可以改变轮廓教育， 在住院医师教育、继续医学教育和放射委员会认证方面发挥中心作用 肿瘤学，并作为一个模型，为其他领域的医学开发模拟培训工具。

项目成果

Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.

• DOI: 10.1016/j.radonc.2021.05.003
• 发表时间: 2021-07
• 期刊: RADIOTHERAPY AND ONCOLOGY
• 影响因子: 5.7
• 作者: Sherer, Michael, V;Lin, Diana;Elguindi, Sharif;Duke, Simon;Tan, Li-Tee;Cacicedo, Jon;Dahele, Max;Gillespie, Erin F.
• 通讯作者: Gillespie, Erin F.