TY - JOUR
T1 - Prospective analysis of parametric response map-derived MRI biomarkers
T2 - Identification of early and distinct glioma response patterns not predicted by standard radiographic assessment
AU - Galbán, Craig J.
AU - Chenevert, Thomas L.
AU - Meyer, Charles R.
AU - Tsien, Christina
AU - Lawrence, Theodore S.
AU - Hamstra, Daniel A.
AU - Junck, Larry
AU - Sundgren, Pia C.
AU - Johnson, Timothy D.
AU - Galbán, Stefanie
AU - Sebolt-Leopold, Judith S.
AU - Rehemtulla, Alnawaz
AU - Ross, Brian D.
PY - 2011/7/15
Y1 - 2011/7/15
N2 - Purpose: Currently, radiologic response of brain tumors is assessed according to the Macdonald criteria 10 weeks from the start of therapy. There exists a critical need to identify nonresponding patients early in the course of their therapy for consideration of alternative treatment strategies. Our study assessed the effectiveness of the parametric response map (PRM) imaging biomarker to provide for an earlier measure of patient survival prediction. Experimental Design: Forty-five high-grade glioma patients received concurrent chemoradiation. Quantitative MRI including apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) maps were acquired pretreatment and 3 weeks midtreatment on a prospective institutional-approved study. PRM, a voxel-by-voxel image analysis method, was evaluated as an early prognostic biomarker of overall survival. Clinical and conventional MR parameters were also evaluated. Results: Multivariate analysis showed that PRM ADC+ in combination with PRM rCBV- obtained at week 3 had a stronger correlation to 1-year and overall survival rates than any baseline clinical or treatment response imaging metric. The composite biomarker identified three distinct patient groups, nonresponders [median survival (MS) of 5.5 months, 95% CI: 4.4-6.6 months], partial responders (MS of 16 months, 95% CI: 8.6-23.4 months), and responders (MS has not yet been reached). Conclusions: Inclusion of PRM ADC+ and PRM rCBV- into a single imaging biomarker metric provided early identification of patients resistant to standard chemoradiation. In comparison to the current standard of assessment of response at 10 weeks (Macdonald criteria), the composite PRM biomarker potentially provides a useful opportunity for clinicians to identify patients who may benefit from alternative treatment strategies.
AB - Purpose: Currently, radiologic response of brain tumors is assessed according to the Macdonald criteria 10 weeks from the start of therapy. There exists a critical need to identify nonresponding patients early in the course of their therapy for consideration of alternative treatment strategies. Our study assessed the effectiveness of the parametric response map (PRM) imaging biomarker to provide for an earlier measure of patient survival prediction. Experimental Design: Forty-five high-grade glioma patients received concurrent chemoradiation. Quantitative MRI including apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) maps were acquired pretreatment and 3 weeks midtreatment on a prospective institutional-approved study. PRM, a voxel-by-voxel image analysis method, was evaluated as an early prognostic biomarker of overall survival. Clinical and conventional MR parameters were also evaluated. Results: Multivariate analysis showed that PRM ADC+ in combination with PRM rCBV- obtained at week 3 had a stronger correlation to 1-year and overall survival rates than any baseline clinical or treatment response imaging metric. The composite biomarker identified three distinct patient groups, nonresponders [median survival (MS) of 5.5 months, 95% CI: 4.4-6.6 months], partial responders (MS of 16 months, 95% CI: 8.6-23.4 months), and responders (MS has not yet been reached). Conclusions: Inclusion of PRM ADC+ and PRM rCBV- into a single imaging biomarker metric provided early identification of patients resistant to standard chemoradiation. In comparison to the current standard of assessment of response at 10 weeks (Macdonald criteria), the composite PRM biomarker potentially provides a useful opportunity for clinicians to identify patients who may benefit from alternative treatment strategies.
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U2 - 10.1158/1078-0432.CCR-10-2098
DO - 10.1158/1078-0432.CCR-10-2098
M3 - Article
C2 - 21527563
AN - SCOPUS:79960411354
SN - 1078-0432
VL - 17
SP - 4751
EP - 4760
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 14
ER -