Voxelwise analysis of imaging response to therapy in neuro-oncology

神经肿瘤学治疗的成像反应的体素分析

• 批准号: 8445964
• 负责人: Armin Schwartzman
• 金额: $ 25.58万
• 依托单位: DANA-FARBER CANCER INST
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-30 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8445964
• 关键词: Accounting; Aftercare; Algorithms; Biometry; Brain; Brain region; Calibration; Clinical; Clinical Trials; Clinical Trials Database; Collaborations; Computer Simulation; Computer software; Computing Methodologies; Dana-Farber Cancer Institute; Data; Diagnosis; Disease; Early treatment; Future; Goals; Image; Image Analysis; Lead; Malignant Neoplasms; Malignant neoplasm of brain; Manuals; Maps; Measurement; Measures; Metabolic; Metastatic malignant neoplasm to brain; Methodology; Methods; Modeling; Molecular Target; Outcome; Patients; Performance; Population; Positron-Emission Tomography; Quantitative Evaluations; Research Infrastructure; Scanning; Spatial Distribution; Statistical Methods; Therapy Evaluation; Time; Tissues; Tyrosine Kinase Inhibitor; Work; brain metabolism; cancer therapy; data format; follow-up; improved; interest; lapatinib; malignant breast neoplasm; neuro-oncology; neuroimaging; novel; outcome forecast; response; tool; treatment effect

DESCRIPTION (provided by applicant): The aggressiveness of brain cancer requires quantitative evaluation tools that can detect response to therapy early in order to guide treatment. Quantitative FDG-PET imaging has been used extensively, both within clinical trials at the Dana-Farber Cancer Institute (DFCI) and elsewhere, to evaluate the response of novel cancer therapies between a baseline (pre-treatment) and a follow-up (post-treatment) scan. The standard analysis approach, involving manual delineation of regions of interest, is robust but limited in scope, time-consuming, and subjective. In the context of neuroimaging, we propose to develop more objective methods that can indicate changes anywhere in the brain and correct for the confounding induced by global and regional changes in normal brain metabolism. This is achieved by a voxelwise comparison between the pre-treatment and post-treatment 3D scans, preceded by spatial registration, segmentation and background adjustment, and followed by significance thresholding. Summary measures of the generated voxelwise change maps are evaluated as predictors of survival in clinical trials. The methods in this proposal will provide a better tool for radiological assessment of patient progression or response and a better standard for evaluation of therapy in clinical trials. Capitalizing on complimentary expertise and interests in image analysis, this unique collaboration between the departments of Imaging and Biostatistics at DFCI holds the promise of developing fundamental methodologies that can immediately be evaluated and utilized in previous and future clinical trials. PUBLIC HEALTH RELEVANCE: The methods in this proposal will provide a better tool for radiological assessment of patient progression or response to treatment in brain cancer and a better standard for evaluation of therapy in clinical trials.

描述（由申请人提供）：脑癌的侵略性需要定量评估工具，以便早日检测对治疗的反应以指导治疗。定量FDG-PET成像已在Dana-Farber癌症研究所（DFCI）和其他地方进行了广泛使用，以评估基线（预处理）和随访之间的新型癌症疗法的反应（后 - 处理）扫描。涉及感兴趣区域的手动描述的标准分析方法是强大的，但范围，耗时和主观的范围有限。在神经影像的背景下，我们建议开发更客观的方法，这些方法可以表明大脑中任何地方的变化并纠正正常脑代谢的全球和区域变化引起的混淆。这是通过在处理前和处理后3D扫描之间进行自voxelwise比较来实现的，此前进行了空间注册，分割和背景调整，然后进行显着性阈值。在临床试验中，评估了生成的自动voxelwise变化图的摘要量度作为存活率。本提案中的方法将提供 在临床试验中评估患者进展或反应的放射学评估的更好的工具，以及更好的评估治疗标准。利用免费专业知识和利益 在图像分析中，DFCI成像和生物统计学部门之间的这种独特的合作有望开发基本方法论，这些方法可以立即在以前和将来的临床试验中评估和使用。 公共卫生相关性：该提案中的方法将为脑癌的患者进展或对治疗的反应进行放射学评估和在临床试验中评估治疗的更好标准。