The parametric response map is an imaging biomarker for early cancer treatment outcome.
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.
Departments of Radiology, University of Michigan, Center for Molecular Imaging, Ann Arbor, USA.
Craig J
CJ
Galbán
Thomas L
TL
Chenevert
Charles R
CR
Meyer
Christina
C
Tsien
Theodore S
TS
Lawrence
Daniel A
DA
Hamstra
Larry
L
Junck
Pia C
PC
Sundgren
Timothy D
TD
Johnson
David J
DJ
Ross
Alnawaz
A
Rehemtulla
Brian D
BD
Ross
D014408:Biomarkers, Tumor / Q000032:analysis*; D001810:Blood Volume; D001931:Brain Mapping / Q000379:methods; D001932:Brain Neoplasms / Q000401:mortality / Q000473:pathology / Q000628:therapy*; D002560:Cerebrovascular Circulation; D005910:Glioma / Q000401:mortality / Q000473:pathology / Q000628:therapy*; D006439:Hemodynamics; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009369:Neoplasms / Q000628:therapy*; D011237:Predictive Value of Tests; D012372:ROC Curve; D012044:Regression Analysis; D015996:Survival Rate; D017741:Survivors; D016896:Treatment Outcome
D014408:Biomarkers, Tumor