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Development of a Multiparametric Voxel-Based Magnetic Resonance Imaging Biomarker for Early Cancer Therapeutic Response Assessment.

Galbán, Craig J; Lemasson, Benjamin; Hoff, Benjamin A; Johnson, Timothy D; Sundgren, Pia LU ; Tsien, Christina; Chenevert, Thomas L and Ross, Brian D (2015) In Tomography : a journal for imaging research 1(1). p.44-52
Abstract
Quantitative magnetic resonance imaging (MRI)-based biomarkers, which capture physiological and functional tumor processes, were evaluated as imaging surrogates of early tumor response following chemoradiotherapy in glioma patients. A multiparametric extension of a voxel-based analysis, referred as the parametric response map (PRM), was applied to quantitative MRI maps to test the predictive potential of this metric for detecting response. Fifty-six subjects with newly diagnosed high-grade gliomas treated with radiation and concurrent temozolomide were enrolled in a single-site prospective institutional review board-approved MRI study. Apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) maps were acquired before... (More)
Quantitative magnetic resonance imaging (MRI)-based biomarkers, which capture physiological and functional tumor processes, were evaluated as imaging surrogates of early tumor response following chemoradiotherapy in glioma patients. A multiparametric extension of a voxel-based analysis, referred as the parametric response map (PRM), was applied to quantitative MRI maps to test the predictive potential of this metric for detecting response. Fifty-six subjects with newly diagnosed high-grade gliomas treated with radiation and concurrent temozolomide were enrolled in a single-site prospective institutional review board-approved MRI study. Apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) maps were acquired before therapy and 3 weeks after therapy was initiated. Multiparametric PRM (mPRM) was applied to both physiological MRI maps and evaluated as an imaging biomarker of patient survival. For comparison, single-biomarker PRMs were also evaluated in this study. The simultaneous analysis of ADC and rCBV by the mPRM approach was found to improve the predictive potential for patient survival over single PRM measures. With an array of quantitative imaging parameters being evaluated as biomarkers of therapeutic response, mPRM shows promise as a new methodology for consolidating physiologically distinct imaging parameters into a single interpretable and quantitative metric. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Tomography : a journal for imaging research
volume
1
issue
1
pages
44 - 52
external identifiers
  • PMID:26568982
ISSN
2379-1381
DOI
10.18383/j.tom.2015.00124
language
English
LU publication?
yes
id
485aed90-a712-4c44-974d-650a3a6b841c (old id 8235471)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26568982?dopt=Abstract
date added to LUP
2015-12-04 23:02:23
date last changed
2016-09-20 03:30:18
@misc{485aed90-a712-4c44-974d-650a3a6b841c,
  abstract     = {Quantitative magnetic resonance imaging (MRI)-based biomarkers, which capture physiological and functional tumor processes, were evaluated as imaging surrogates of early tumor response following chemoradiotherapy in glioma patients. A multiparametric extension of a voxel-based analysis, referred as the parametric response map (PRM), was applied to quantitative MRI maps to test the predictive potential of this metric for detecting response. Fifty-six subjects with newly diagnosed high-grade gliomas treated with radiation and concurrent temozolomide were enrolled in a single-site prospective institutional review board-approved MRI study. Apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) maps were acquired before therapy and 3 weeks after therapy was initiated. Multiparametric PRM (mPRM) was applied to both physiological MRI maps and evaluated as an imaging biomarker of patient survival. For comparison, single-biomarker PRMs were also evaluated in this study. The simultaneous analysis of ADC and rCBV by the mPRM approach was found to improve the predictive potential for patient survival over single PRM measures. With an array of quantitative imaging parameters being evaluated as biomarkers of therapeutic response, mPRM shows promise as a new methodology for consolidating physiologically distinct imaging parameters into a single interpretable and quantitative metric.},
  author       = {Galbán, Craig J and Lemasson, Benjamin and Hoff, Benjamin A and Johnson, Timothy D and Sundgren, Pia and Tsien, Christina and Chenevert, Thomas L and Ross, Brian D},
  issn         = {2379-1381},
  language     = {eng},
  number       = {1},
  pages        = {44--52},
  series       = {Tomography : a journal for imaging research},
  title        = {Development of a Multiparametric Voxel-Based Magnetic Resonance Imaging Biomarker for Early Cancer Therapeutic Response Assessment.},
  url          = {http://dx.doi.org/10.18383/j.tom.2015.00124},
  volume       = {1},
  year         = {2015},
}