The parametric response map is an imaging biomarker for early cancer treatment outcome

Research output: Contribution to journalArticle


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.


  • Craig J Galbán
  • Thomas L Chenevert
  • Charles R Meyer
  • Christina Tsien
  • Theodore S Lawrence
  • Daniel A Hamstra
  • Larry Junck
  • Pia C Sundgren
  • Timothy D Johnson
  • David J Ross
  • Alnawaz Rehemtulla
  • Brian D Ross
External organisations
  • University of Michigan
Research areas and keywords


  • Biomarkers, Tumor, Blood Volume, Brain Mapping, Brain Neoplasms, Cerebrovascular Circulation, Glioma, Hemodynamics, Humans, Magnetic Resonance Imaging, Neoplasms, Predictive Value of Tests, ROC Curve, Regression Analysis, Survival Rate, Survivors, Treatment Outcome, Journal Article, Research Support, N.I.H., Extramural
Original languageEnglish
Pages (from-to)572-6
Number of pages5
JournalNature Medicine
Issue number5
Publication statusPublished - 2009 May
Publication categoryResearch
Externally publishedYes