Galbán Craig J, Chenevert Thomas L, Meyer Charles R, Tsien Christina, Lawrence Theodore S, Hamstra Daniel A, Junck Larry, Sundgren Pia C, Johnson Timothy D, Ross David J, Rehemtulla Alnawaz, Ross Brian D
Departments of Radiology, University of Michigan, Center for Molecular Imaging, Ann Arbor, USA.
Nat Med. 2009 May;15(5):572-6. doi: 10.1038/nm.1919. Epub 2009 Apr 19.
Here we describe the parametric response map (PRM), a voxel-wise approach for image analysis and quantification of hemodynamic alterations during treatment for 44 patients with high-grade glioma. Relative cerebral blood volume (rCBV) and flow (rCBF) maps were acquired before treatment and after 1 and 3 weeks of therapy. We compared the standard approach using region-of-interest analysis for change in rCBV or rCBF to the change in perfusion parameters on the basis of PRM (PRM(rCBV) and PRM(rCBF)) for their accuracy in predicting overall survival. Neither the percentage change of rCBV or rCBF predicted survival, whereas the regional response evaluations made on the basis of PRM were highly predictive of survival. Even when accounting for baseline rCBV, which is prognostic, PRM(rCBV) proved more predictive of overall survival.
在此，我们描述了参数反应图（PRM），这是一种针对44例高级别胶质瘤患者治疗期间血流动力学改变进行图像分析和定量的体素级方法。在治疗前以及治疗1周和3周后获取相对脑血容量（rCBV）和血流（rCBF）图。我们将使用感兴趣区域分析来评估rCBV或rCBF变化的标准方法与基于PRM的灌注参数变化（PRM(rCBV)和PRM(rCBF)）在预测总生存期方面的准确性进行了比较。rCBV或rCBF的百分比变化均不能预测生存期，而基于PRM进行的区域反应评估对生存期具有高度预测性。即使考虑到具有预后价值的基线rCBV，PRM(rCBV)在预测总生存期方面也更具优势。
