IMPROVED ANALYTIC MODELS FOR ANALYSIS OF DCE-MRI DATA SETS

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 用于图像重建和DCE-MRI数据集分析的分析模型， 肿瘤血管分布的动力学参数。这些努力将应用于中央ACRIN DCE-MRI核心实验室分析了几种使用DCE-MRI作为 成像终点。这些包括ACRIN-6676（用于评价肾细胞癌的DCE-MRI 双重靶向治疗的反应），ACRIN 6677（脑肿瘤分期与灌注MRI 和光谱学）和ACRIN PA-4002（DCE-MRI用于评估结直肠癌的早期反应 用贝伐单抗治疗癌症）。

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).