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Predicting outcome of patients with high-grade gliomas after radiotherapy using quantitative analysis of T1-weighted magnetic resonance imaging

Authors :
Yue Cao
Diana Gomez-Hassan
Julia S. Lee
Brian D. Ross
Larry Junck
Thomas L. Chenevert
Randall K. Ten Haken
Theodore Lawrence
Christina Tsien
Source :
International journal of radiation oncology, biology, physics. 67(5)
Publication Year :
2006

Abstract

Purpose: The aim of this study was to test the hypothesis that measuring quantitative changes in signal intensity early after radiotherapy (RT) in the contrast-enhancing tumor rim and nonenhancing core may be a noninvasive marker of early treatment response in patients with high-grade gliomas. Methods and Materials: Twenty patients with high-grade gliomas had magnetic resonance imaging (MRI) performed 1 week before RT, during Weeks 1 and 3 of RT, and every 1 to 3 months after RT as part of a clinical prospective study. Regions of interest (ROI) including contrast-enhancing rim, and the nonenhancing core were defined automatically based on a calculated image of post- to precontrast T1-weighted MRI. Pretreatment T1-weighted MRI signal intensity changes were compared with Weeks 1 and 3 RT and 1 and 3 months post-RT MRI. Clinical and MRI parameters were then tested for prediction of overall survival. Results: Regional T1-weighted signal intensity changes in both the contrast-enhancing rim and the nonenhancing core were observed in all patients during Week 1 and Week 3 of RT. Imaging parameters including signal intensity change within the nonenhancing core after Weeks 1 to 2 RT ( p = 0.004), Weeks 3 to 4 RT ( p = 0.002) and 1 month after completion of RT ( p = 0.002) were predictive of overall survival. Using multivariate analysis including RTOG recursive partitioning analysis (RPA) and signal intensity change, only the signal intensity change in the nonenhancing core at 1 month after RT ( p = 0.01) retained significance. Conclusion: Quantitative measurements of T1-weighted MRI signal intensity changes in the nonenhancing tumor core (using ratios of preā€“post values) may provide valuable information regarding early response during treatment and improve our ability to predict posttreatment outcome.

Details

ISSN :
03603016
Volume :
67
Issue :
5
Database :
OpenAIRE
Journal :
International journal of radiation oncology, biology, physics
Accession number :
edsair.doi.dedup.....19436c0d521a3567336258f3475a77b0