课题基金 / 基金详情

Development of Parametric Response Mapping Software for Clinical Cancer Response Assessment

Development of Parametric Response Mapping Software for Clinical Cancer Response Assessment
开发用于临床癌症反应评估的参数反应图软件
批准号:
9767576
负责人:
Craig J Galban
金额:
$48.07万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2020-08-31

项目摘要

项目成果

Craig J Galban的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Over the last decade, investigators at the University of Michigan (UM) have pioneered the development of diffusion-weighted MRI (DW-MRI) as an early treatment response imaging biomarker in glioma brain tumors, first in animal models and then in humans. Complex heterogeneous response patterns, typically observed in treated tumors, have led the UM team to the development of a voxel-based, analytical approach for quantification of spatially heterogeneous diffusion values referred to as the diffusion Parametric Response Map (PRMADC). Numerous laboratories have validated the use of DW-MRI for early assessment of treatment response in a variety of primary and metastatic cancer types. Nevertheless, as of today it remains confined as a research tool. For this promising technology to enter routine clinical use, a commercial application must be developed and integrated within the clinical workflow. In this grant effort, we propose to achieve this goal through the close partnership between University of Michigan (UM) and Imbio, LLC investigators. Specifically, this collaborative effort will develop a clinical grade software solution that executes PRMADC, which has been shown to provide the needed spatial and quantitative information for treatment management of cancer patients. The current effort will focus development activities for use in glioma as these data are readily available from prior NIH-funded UM trials. Thus the Specific Aims of this Fast-Track proposal will develop a commercial PRMADC software application, including product testing and data acquisition necessary for a FDA 510(k) application using images and patient information obtained from prior NIH-sponsored clinical trials. Overall, it is anticipated that the successful outcome of this effort will provide a turn-key software solution for Radiologists to longitudinally assess treatment response in patients with glioma, leading to improved patient care and a reduction in cost to the healthcare system. Importantly, the teams at UM and Imbio have a very successful track record of collaboration, with already one FDA-cleared PRM application for lung CT imaging which is now available for commercial sale in the USA, Europe and Canada.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Parametric Response Mapping (PRM) for the detection of chronic lung injury in hematopoietic cell transplant recipients
Parametric Response Mapping (PRM) for the detection of chronic lung injury in hematopoietic cell transplant recipients
Prediction of COPD Progression by PRM
Prediction of COPD Progression by PRM
海外基金