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.

确定放射治疗计划的脑肿瘤边缘范围仍然是一项具有挑战性的任务，因为这些肿瘤的浸润性质以及当前标准成像方法的局限性。多项研究包括我们自己已经证明了一种用于检测组织中代谢物的 MR 技术，MR 光谱成像或光谱 MRI (sMRI)，可以高度灵敏地检测浸润性肿瘤区域，特异性，能够对导致早期复发和延长生命的区域进行更好的放射治疗。磁共振成像能够识别以胆碱/N-乙酰天冬氨酸比率增加为标志的肿瘤范围，包括诊断性 MRI 无法检测到且通常未经治疗的区域。通过允许这些以前未检测到的待治疗区域，sMRI 有潜力提高放射治疗的疗效并显着延缓复发。在我们的 3 点 sMRI 引导辐射剂量递增试点研究中，于 2019 年完成，我们能够证明可行性和安全性。所有 30 名 GBM 患者的生存分析显示 GBM 患者的中位总生存期 (OS) 有望达到 23 个月，而 OS 为 16 个月接受标准护理。我们的试验已被批准为国家临床试验网络（ECOG-ACRIN）试验（EAF211）。这是在 ACRIN 和 ACRIN 员工支持下传播该技术的绝佳机会美国放射学院 (ACR)。我们将在当前的续期资助期内实现这一目标该项目利用三个研究中心的不同专业知识并与西门子医疗公司合作设计并验证改进 sMRI 采集、分析和临床所需的技术改进一体化。这些改进包括：(1) 更新了快速且运动鲁棒的 sMRI，以提高图像质量； (2) 新的加速数据处理管道，将 Cho/NAA 比率图返回至 PACS，以便临床及时使用放射学报告； (3) 新的处理、显示和分析方法，以直观的方式呈现代谢图谱具有临床医生友好界面的高效方式，可与放射治疗计划集成软件系统； (4) 开发新工具来预测最佳基线 RT 规划策略磁共振成像。这项研究的完成将提供强大的 sMRI 采集方法和软件工具准备在临床使用中部署，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？