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Predicting outcome of patients with high-grade gliomas after radiotherapy using quantitative analysis of T1-weighted magnetic resonance imaging
- 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 preāpost values) may provide valuable information regarding early response during treatment and improve our ability to predict posttreatment outcome.
- Subjects :
- Adult
Male
Cancer Research
medicine.medical_treatment
Recursive partitioning
Precontrast
medicine
T1 weighted
Humans
Radiology, Nuclear Medicine and imaging
Prospective Studies
Prospective cohort study
Aged
Proportional Hazards Models
Core (anatomy)
Radiation
medicine.diagnostic_test
business.industry
Brain Neoplasms
Magnetic resonance imaging
Glioma
Middle Aged
Magnetic Resonance Imaging
Radiation therapy
Treatment Outcome
Oncology
Female
sense organs
Radiotherapy, Conformal
business
Nuclear medicine
Quantitative analysis (chemistry)
Subjects
Details
- ISSN :
- 03603016
- Volume :
- 67
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- International journal of radiation oncology, biology, physics
- Accession number :
- edsair.doi.dedup.....19436c0d521a3567336258f3475a77b0