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

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

    Research output: Contribution to journalArticlepeer-review

    156 Scopus citations

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)572-576
    Number of pages5
    JournalNature medicine
    Volume15
    Issue number5
    DOIs
    StatePublished - May 2009

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