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

Galbán, Craig J; Chenevert, Thomas L; Meyer, Charles R; Tsien, Christina; Lawrence, Theodore S; Hamstra, Daniel A; Junck, Larry; Sundgren, Pia C LU ; Johnson, Timothy D and Ross, David J, et al. (2009) In Nature Medicine 15(5). p.6-572
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... (More)

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.

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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
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Nature Medicine
volume
15
issue
5
pages
5 pages
publisher
Nature Publishing Group
external identifiers
  • scopus:67349249839
ISSN
1546-170X
DOI
10.1038/nm.1919
language
English
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no
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6f6dbf45-1304-4259-a452-3730e50b095d
date added to LUP
2017-12-13 13:00:50
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2018-05-13 04:37:17
@article{6f6dbf45-1304-4259-a452-3730e50b095d,
  abstract     = {<p>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.</p>},
  author       = {Galbán, Craig J and Chenevert, Thomas L and Meyer, Charles R and Tsien, Christina and Lawrence, Theodore S and Hamstra, Daniel A and Junck, Larry and Sundgren, Pia C and Johnson, Timothy D and Ross, David J and Rehemtulla, Alnawaz and Ross, Brian D},
  issn         = {1546-170X},
  keyword      = {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},
  language     = {eng},
  number       = {5},
  pages        = {6--572},
  publisher    = {Nature Publishing Group},
  series       = {Nature Medicine},
  title        = {The parametric response map is an imaging biomarker for early cancer treatment outcome},
  url          = {http://dx.doi.org/10.1038/nm.1919},
  volume       = {15},
  year         = {2009},
}