Development of a magnetic resonance imaging and image-analysis framework for high-precision gamma knife-based stereotactic radiosurgery of brain tumours

开发用于脑肿瘤高精度伽马刀立体定向放射外科的磁共振成像和图像分析框架

• 批准号: 507521-2016
• 负责人: SadeghiNaini, Ali
• 金额: $ 19.55万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=694708
• 关键词: Development; magnetic; resonance; imaging; image

Brain metastasis is a common complication of cancer, occurring in 20-40% of all cancer patients. The standard of care for patients presenting with a limited number of brain metastases is stereotactic radiosurgery (SRS). SRS delivers a high, precisely-focused, single dose of radiation to a target region. Sunnybrook has recently installed a new image-guided dedicated device for SRS of brain tumours (Gamma Knife Perfexion; Elekta, Montreal, Canada).Despite advancements in our ability to precisely deliver high radiation doses to target regions, there is still an urgent need to improve upon our current methods to guide radiation, to determine which patients would benefit from SRS, and to assess response of tumours to radiation early after treatment. To address these shortcomings, this project aims to develop and optimize a novel magnetic resonance (MR) imaging and image-processing framework for high-precision personalized SRS of metastatic brain tumours with Gamma Knife technology.In SRS treatment, MRI is used to delineate the tumour target. However, these images are commonly distorted, which can result in a "geometric miss" and ineffective treatment, especially in the case of small metastatic targets. Geometrically accurate MRI solutions will be developed for radiotherapy planning. These will be complemented by new MRI scans of tumour metabolism, to more accurately delineate treatment targets. In combination with these imaging methods, new image-processing techniques (referred to as "radiomics") will be used to develop and optimize models to predict response prior to or early after a treatment. Such prediction can help clinicians deliver effective adjuvant therapies, or change ineffective treatments before it is potentially too late.In collaboration with industrial partner Elekta, the MRI and radiomics platform developed in this project can be incorporated into the commercial SRS treatment planning system. The novel technologies will assist clinical decision making and improve marketability of the products.

脑转移是癌症的常见并发症，发生在所有癌症患者中的 20-40%。对于数量有限的脑转移患者，标准治疗是立体定向放射外科 (SRS)。 SRS 向目标区域提供高、精确聚焦的单剂量辐射。 Sunnybrook 最近安装了一种用于脑肿瘤 SRS 的新型图像引导专用设备（伽玛刀 Perfexion；Elekta，蒙特利尔，加拿大）。尽管我们在向目标区域精确提供高辐射剂量的能力方面取得了进步，但仍然迫切需要改进我们当前引导辐射的方法，以确定哪些患者将从 SRS 中受益，并在治疗后早期评估肿瘤对辐射的反应。针对这些缺点，本项目旨在开发和优化一种新型磁共振（MR）成像和图像处理框架，用于利用伽玛刀技术对转移性脑肿瘤进行高精度个性化SRS治疗。在SRS治疗中，MRI用于勾画肿瘤靶点。然而，这些图像通常会失真，这可能会导致“几何缺失”和无效的治疗，特别是在小转移靶标的情况下。将开发几何精确的 MRI 解决方案用于放射治疗计划。这些将得到新的肿瘤代谢 MRI 扫描的补充，以更准确地描绘治疗目标。与这些成像方法相结合，新的图像处理技术（称为“放射组学”）将用于开发和优化模型，以预测治疗前或治疗后早期的反应。这种预测可以帮助临床医生提供有效的辅助治疗，或者在可能为时已晚之前改变无效的治疗方法。通过与工业合作伙伴 Elekta 合作，该项目中开发的 MRI 和放射组学平台可以纳入商业 SRS 治疗计划系统。新技术将有助于临床决策并提高产品的适销性。