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

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

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

Christina Tsien,Diana Gomez-Hassan,Thomas L Chenevert,Julia Lee,Theodore Lawrence,Randall K Ten Haken,Larry R Junck,Brian Ross,Yue Cao,

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 pre-post values) may provide valuable information regarding early response during treatment and improve our ability to predict posttreatment outcome.

Predicting outcome of patients with high-grade gliomas after radiotherapy using quantitative analysis of T1-weighted magnetic resonance imaging. Publishing Authors By Initials

C Tsien,D Gomez-Hassan,TL Chenevert,J Lee,T Lawrence,RK Ten Haken,LR Junck,B Ross,Y Cao,

For similar diagnosis: prognosis: treatment outcome research abstracts see: diagnosis: prognosis: treatment outcome research

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

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: International journal of radiation oncology, biolo

VOLUME: 67

Page Numbers: 1476-83

Journal Abbreviation: Int. J. Radiat. Oncol. Biol. P

ISSN: 0360-3016

DAY: 2

MONTH: 02

YEAR: 2007

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

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LANGUAGE: eng

NlmUniqueID: 7603616

Predicting outcome of patients with high-grade gliomas after radiotherapy using quantitative analysis of T1-weighted magnetic resonance imaging. Keywords Mesh Terms:

KEYWORDS: Treatment Outcome

MESH TERMS: radiotherapy

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Grant and Affiliation Information for Predicting outcome of patients with high-grade gliomas after radiotherapy using quantitative analysis of T1-weighted magnetic resonance imaging.

AFFILIATION: Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA. ctsien@umich.edu

Country: United States

AGENCY: United States NCI

GRANT: CA 85878

ACRONYM: CA

MEDLINETA: Int J Radiat Oncol Biol Phys

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