Integrated AI-enabled platform for adaptive radiotherapy dose planning

用于自适应放疗剂量规划的集成人工智能平台

• 批准号: 105205
• 金额: $ 49.28万
• 依托单位: MIRADA MEDICAL LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=105205
• 关键词: Integrated; AI; enabled; platform; adaptive

"External Beam Radiotherapy (RT) is a cornerstone of modern cancer treatment, utilized on its own or in combination with surgery and/or chemotherapy. During RT, high energy radiation, generated within a linear accelerator, is directed at a tumour, thereby destroying it, but also inevitably irradiating nearby healthy tissue. It is therefore necessary to carefully plan any RT to maximise the tumour dose while minimising the dose to the healthy tissue. In this process, known as RT planning, teams of clinical experts spend a great deal of time developing a treatment plan prior to its administration.Typically, a course of therapy lasts 4-6 weeks during which the patient's anatomy may change significantly rendering the plan sub-optimal. Indeed, such changes might result in either too little radiation being delivered to the tumour and/or too much to surrounding tissue. Ideally, the validity of the treatment plan is monitored during therapy and the plan changed as required; this concept is known as Adaptive Radiotherapy (ART).Multiple studies have demonstrated the clinical benefits of ART, but it is rarely performed in routine clinical practice due to associated increased workload. The latest radiotherapy treatment machines can perform 3D imaging for each daily fraction of the treatment. While today such imaging is predominately used to ensure correct patient positioning there is an increasing desire to fully exploit this capability for monitoring for ART.The challenge to overcome is how to use this information efficiently. Manual review of the imaging is too labour intensive for clinical implementation. Therefore, there is a need for a system to automatically review all available imaging and identify those patients who may benefit from adaptive re-planning.This project seeks to develop a proof-of-concept to demonstrate that a substantially automated ART monitoring system is practical for clinical use while also demonstrating integration with market-leading clinical solutions for dose calculation and personalized treatment planning."

“外部束放疗（RT）是现代癌症治疗的基石，自身使用或与手术和/或化学疗法结合使用。在RT期间，在线性加速器内产生的高能量辐射产生，针对肿瘤，从而摧毁了它，因此可以仔细地销毁该肿瘤，因此可以仔细地限制任何rt podor potor potor potor potor potor。在此过程中，健康的组织在此过程中，临床专家花费了大量时间，在治疗计划之前，持续4-6周，患者的解剖学持续了4-6周。在治疗过程中进行监测，该计划根据需要进行改变；最新的放射疗法治疗机可以为每日治疗的每一部分进行3D成像。虽然如今，这种成像主要用于确保正确的患者定位，但越来越多地利用这种监视艺术的能力的愿望。克服的挑战是如何有效地使用此信息。对于临床实施而言，对成像的手动审查过于强大。因此，有一个系统需要自动审查所有可用的成像并确定那些可能从适应性重新计划中受益的患者。本项目旨在开发概念概念证明，以证明实质上自动化的艺术监测系统对于临床使用而言是实用的，同时还证明了与市场领域的剂量临床解决方案相结合的剂量临床解决方案。”