Improved whole-brain spectroscopic MRI for radiation therapy planning

改进的全脑光谱 MRI 用于放射治疗计划

基本信息

批准号：
10618320
负责人：
Lee Cooper
金额：
$ 60.18万
依托单位：
EMORY UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-05-05 至 2027-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10618320
关键词：
3-Dimensional Acceleration Adoption Adult American College of Radiology American College of Radiology Imaging Network Area Award Back Brain Brain Neoplasms Chemotherapy and/or radiation Choline Clinical Clinical Trials Clinical Trials Cooperative Group Collaborations Data Data Display Detection Development Diagnosis Diagnostic Disease Progression Dose Eastern Cooperative Oncology Group Engineering Environment Excision Friends Funding Genomics Glioblastoma Goals Grant Head Histologic Hour Image Imaging technology Infiltration Left Life Lipids Magnetic Resonance Imaging Maps Measures Metabolic Metabolism Methods Morphologic artifacts Motion Multimodal Imaging N-acetylaspartate National Clinical Trials Network Nature Network-based Newly Diagnosed Operative Surgical Procedures Outcome Patient-Focused Outcomes Patients Performance Phase Physicians Pilot Projects Predisposition Primary Brain Neoplasms Proliferating Radiation Dose Unit Radiation therapy Radiology Specialty Randomized Reading Recurrence Reporting Research Resolution Scanning Sensitivity and Specificity Site Software Tools Survival Analysis System Systems Integration Techniques Technology Time Tissues Update Vendor Visualization Work brain tissue clinical decision-making clinical imaging clinical implementation cloud based contrast enhanced data analysis pipeline data management data visualization detection method follow-up high risk image reconstruction imaging modality imaging platform improved improved outcome magnetic resonance spectroscopic imaging metabolic imaging multidimensional data neoplastic cell neovasculature neural network novel predictive modeling prototype reconstruction safety and feasibility software development software systems spectroscopic data spectroscopic imaging standard of care technology validation tool treatment and outcome treatment planning treatment response tumor tumor progression two-dimensional user-friendly web based software

项目摘要

Identifying the extent of brain tumor margins for radiation treatment planning remains a challenging task due to the infiltrative nature of these tumors and limitations in current standard imaging methods. Multiple studies including our own have demonstrated that an MR technique for detecting metabolites in tissue, MR spectroscopic imaging or spectroscopic MRI (sMRI), can detect areas of infiltrating tumor with a high degree of sensitivity and specificity, enabling better radiation treatment of areas that lead to early recurrence and extending life. sMRI enables the identification of tumor extent that is marked by increased Choline/N-Acetylaspartate ratios, including regions that are not detectable by diagnostic MRI and that are normally left untreated. By allowing these previously undetected regions to be treated, sMRI has the potential to improve the efficacy of radiation treatment and significantly delay recurrence. In our 3-site sMRI-guided radiation dose escalation pilot study which was completed in 2019, we were able to demonstrate feasibility and safety. Survival analysis of all 30 GBM patients shows a promising median overall survival (OS) of 23 months compared to 16 months OS for GBM patients receiving standard-of-care. Our trial has been approved as a National Clinical Trial Network (ECOG-ACRIN) trial (EAF211). This is a great opportunity to disseminate this technique with staff support from ACRIN and American College of Radiology (ACR). We will achieve the goal in the renewal funding period of our current project by leveraging diverse expertise at three research sites and collaboration with Siemens Healthineers to engineer and validate technological improvements needed to improve sMRI acquisition, analysis, and clinical integration. These improvements include: (1) updated rapid and motion-robust sMRI for improved image quality; (2) new accelerated data processing pipelines to return Cho/NAA ratio maps to PACS for clinically timely radiology reporting; (3) new processing, display, and analysis methods that will present metabolite maps in an efficient manner with a clinician-friendly interface that enables integration with radiation treatment planning software systems; and (4) development of new tools to predict the optimal baseline RT planning strategies using sMRI. The completion of this study will provide robust sMRI acquisition methods and software tools that are ready to be deployed in clinical use and which will help guide important treatment decisions.

确定辐射治疗计划的脑肿瘤边缘的程度仍然是一项具有挑战性的任务这些肿瘤的渗透性和当前标准成像方法中的局限性。多个研究包括我们自己的包括检测组织中代谢产物的MR Spectroscopic中的MR技术成像或光谱MRI（SMRI）可以以高度敏感性检测浸润肿瘤区域特异性，使能够更好地辐射治疗导致早期复发并延长寿命的区域。 Smri 能够鉴定出胆碱/n-乙酰天冬氨酸比率增加的肿瘤程度，包括无法通过诊断MRI检测到的区域通常未经治疗。通过允许这些 SMRI以前未发现的区域有可能提高辐射处理的功效并大大延迟复发。在我们的3个站点SMRI引导的辐射剂量升级试验研究中在2019年完成，我们能够证明可行性和安全性。所有30 GBM患者的生存分析与GBM患者的16个月OS相比，显示有前途的总生存期（OS）为23个月接收护理标准。我们的试验已被批准为国家临床试验网络（ECOG-ACRIN）试验（EAF211）。这是一个很好的机会，可以在Acrin的员工支持和美国放射学院（ACR）。我们将在当前的更新资金期间实现目标通过在三个研究地点利用多元化专业知识的项目，并与西门子卫生员合作改善SMRI获取，分析和临床所需的工程师和验证技术改进一体化。这些改进包括：（1）更新快速和运动型SMRI，以提高图像质量；（2）新的加速数据处理管道，以返回CHO/NAA比率映射到PACS，以供临床及时放射学报告；（3）新的处理，显示和分析方法将在一个中呈现代谢物图具有临床医生友好界面的有效方式，该界面可以与辐射治疗计划集成软件系统；（4）开发使用新工具来预测最佳基线RT计划策略 Smri。这项研究的完成将提供强大的SMRI获取方法和软件工具准备部署在临床用途中，这将有助于指导重要的治疗决策。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Delineation of recurrent glioblastoma by whole brain spectroscopic magnetic resonance imaging.

DOI：
10.1186/s13014-023-02219-2
发表时间：
2023-02-22
期刊：
Radiation oncology (London, England)
影响因子：
0
作者：
Bell JB;Jin W;Goryawala MZ;Azzam GA;Abramowitz MC;Diwanji T;Ivan ME;Del Pilar Guillermo Prieto Eibl M;de la Fuente MI;Mellon EA
通讯作者：
Mellon EA

SPECTRO GLIO trial aftermath: Where do we go from here?

SPECTRO GLIO 试验后果：我们该何去何从？