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Title: Predicting Outcome of Patients with High-grade Gliomas After Radiotherapy using Quantitative Analysis of T1-weighted Magnetic Resonance Imaging

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 monthmore » 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.« less

Authors:
 [1];  [2];  [2];  [3];  [4];  [4];  [5];  [2];  [4]
  1. Department of Radiation Oncology, University of Michigan, Ann Arbor, MI (United States). E-mail: ctsien@umich.edu
  2. Department of Neuro-Radiology, University of Michigan, Ann Arbor, MI (United States)
  3. Department of Bio-statistics, University of Michigan, Ann Arbor, MI (United States)
  4. Department of Radiation Oncology, University of Michigan, Ann Arbor, MI (United States)
  5. Department of Neurology, University of Michigan, Ann Arbor, MI (United States)
Publication Date:
OSTI Identifier:
20951594
Resource Type:
Journal Article
Resource Relation:
Journal Name: International Journal of Radiation Oncology, Biology and Physics; Journal Volume: 67; Journal Issue: 5; Other Information: DOI: 10.1016/j.ijrobp.2006.11.020; PII: S0360-3016(06)03492-4; Copyright (c) 2007 Elsevier Science B.V., Amsterdam, Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; GLIOMAS; IMAGES; MULTIVARIATE ANALYSIS; NMR IMAGING; PATIENTS; RADIOTHERAPY; RANDOM PHASE APPROXIMATION

Citation Formats

Tsien, Christina, Gomez-Hassan, Diana, Chenevert, Thomas L., Lee, Julia, Lawrence, Theodore, Haken, Randall K. ten, Junck, Larry R., Ross, Brian, and Cao Yue. Predicting Outcome of Patients with High-grade Gliomas After Radiotherapy using Quantitative Analysis of T1-weighted Magnetic Resonance Imaging. United States: N. p., 2007. Web. doi:10.1016/j.ijrobp.2006.11.020.
Tsien, Christina, Gomez-Hassan, Diana, Chenevert, Thomas L., Lee, Julia, Lawrence, Theodore, Haken, Randall K. ten, Junck, Larry R., Ross, Brian, & Cao Yue. Predicting Outcome of Patients with High-grade Gliomas After Radiotherapy using Quantitative Analysis of T1-weighted Magnetic Resonance Imaging. United States. doi:10.1016/j.ijrobp.2006.11.020.
Tsien, Christina, Gomez-Hassan, Diana, Chenevert, Thomas L., Lee, Julia, Lawrence, Theodore, Haken, Randall K. ten, Junck, Larry R., Ross, Brian, and Cao Yue. Sun . "Predicting Outcome of Patients with High-grade Gliomas After Radiotherapy using Quantitative Analysis of T1-weighted Magnetic Resonance Imaging". United States. doi:10.1016/j.ijrobp.2006.11.020.
@article{osti_20951594,
title = {Predicting Outcome of Patients with High-grade Gliomas After Radiotherapy using Quantitative Analysis of T1-weighted Magnetic Resonance Imaging},
author = {Tsien, Christina and Gomez-Hassan, Diana and Chenevert, Thomas L. and Lee, Julia and Lawrence, Theodore and Haken, Randall K. ten and Junck, Larry R. and Ross, Brian and Cao Yue},
abstractNote = {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.},
doi = {10.1016/j.ijrobp.2006.11.020},
journal = {International Journal of Radiation Oncology, Biology and Physics},
number = 5,
volume = 67,
place = {United States},
year = {Sun Apr 01 00:00:00 EDT 2007},
month = {Sun Apr 01 00:00:00 EDT 2007}
}