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

基本信息

批准号：
8799693
负责人：
Armin Schwartzman
金额：
$ 17.12万
依托单位：
NORTH CAROLINA STATE UNIVERSITY RALEIGH
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-30 至 2015-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8799693
关键词：
Voxelwise analysis imaging response therapy

项目摘要

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.

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（治疗前）和随访（后处理后）扫描之间新型癌症疗法的反应。标准分析方法涉及感兴趣区域的手动描述，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。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Voxelwise single-subject analysis of imaging metabolic response to therapy in neuro-oncology.

DOI：
10.1002/sta4.53
发表时间：
2014-01-01
期刊：
Stat
影响因子：
1.7
作者：
Guo, Mengye;Yap, Jeffrey T;Van den Abbeele, Annick D;Lin, Nancy U;Schwartzman, Armin
通讯作者：
Schwartzman, Armin

Method for detecting voxelwise changes in fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials.

在癌症临床试验中通过背景调整检测氟脱氧葡萄糖-正电子发射断层扫描脑图像体素变化的方法。