IMPROVED ANALYTIC MODELS FOR ANALYSIS OF DCE-MRI DATA SETS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 用于DCE-MRI数据集的图像重建和分析的分析模型，以确定肿瘤血管的动力学参数。这些工作将用于ACRIN DCE-MRI核心实验室对几种使用DCE-MRI作为成像终点的主动成像协议的分析。其中包括ACRIN-6676(DCE-MRI用于评估肾细胞癌对双重靶向治疗的反应)、ACRIN 6677(使用灌注MRI和光谱学进行脑瘤分期)和ACRIN PA-4002(DCE-MRI用于评估结直肠癌对贝伐单抗治疗的早期反应)。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Analytic models for image reconstruction and analysis of DCE-MRI data sets in order to define kinetic parameters of tumor vascularity. These efforts will be applied toward central ACRIN DCE-MRI core lab analyses of several active imaging protocols which use DCE-MRI as an imaging endpoint. These include ACRIN-6676 (DCE-MRI for evaluation of renal cell carcinoma response to doublet targeted therapies), ACRIN 6677 (Brain tumor staging with perfusion MRI and spectroscopy), and ACRIN PA-4002 (DCE-MRI for evaluating early response of colorectal cancer to treatment with Bevacizumab).