|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Neuroradiology |
1 From the Departments of Radiology (M.L., S.O., J.S.B., E.W., M.I., E.A.K., G.J.), Pathology (D.Z.), and Neurosurgery (D.Z., E.A.K.), New York University Medical Center, MRI Department, Schwartz Building, Basement HCC, 530 First Ave, New York, NY 10016. Received December 23, 2004; revision requested February 23, 2005; revision received March 30; final version accepted May 2. Supported by grant RO1CA093992 from the National Institutes of Health. Address correspondence to M.L. (e-mail: lawm01{at}med.nyu.edu).
Purpose: To determine retrospectively whether relative cerebral blood volume (CBV) measurements can be used to predict clinical response in patients with low-grade gliomas.
Materials and Methods: Approval for this retrospective HIPAA-compliant study was obtained from the Institutional Board of Research Associates, with waiver of informed consent. Thirty-five patients (23 male and 12 female patients; median age, 39 years; range, 480 years) with histologically diagnosed low-grade gliomas (21 low-grade astrocytomas and 14 low-grade oligodendrogliomas and low-grade mixed oligoastrocytomas) were examined with dynamic susceptibility-weighted contrast materialenhanced perfusion magnetic resonance (MR) imaging. Wilcoxon tests were used to compare patients in different response categories (complete response, stable, progressive, death) with respect to baseline relative CBV. Kaplan-Meier survival curves, log-rank tests, and Weibull survival models were used to characterize and evaluate the association of baseline relative CBV with time to progression. Tumor volumes and relative CBV measurements were obtained at initial examination and follow-up.
Results: Lesions with relative CBV less than 1.75 had a median time to progression of 4620 days ± 433 (standard deviation), and lesions with relative CBV more than 1.75 had a median time to progression of 245 days ± 62. Patients who had an adverse event (either death or progression) had significantly higher (P = .003) relative CBV than did patients without adverse events (either complete response or stable disease). Lesions with low baseline relative CBV had stable tumor volumes at follow-up over time, whereas those with high baseline relative CBV (>1.75) had progressively increasing tumor volumes over time.
Conclusion: Dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging can help to identify low-grade gliomas that will progress rapidly and a subset of low-grade gliomas that have a propensity for malignant transformation.
© RSNA, 2006
Related Article
Radiology 2008 246: 989.
This article has been cited by other articles:
![]() |
K.E. Emblem, D. Scheie, P. Due-Tonnessen, B. Nedregaard, T. Nome, J.K. Hald, K. Beiske, T.R. Meling, and A. Bjornerud Histogram Analysis of MR Imaging-Derived Cerebral Blood Volume Maps: Combined Glioma Grading and Identification of Low-Grade Oligodendroglial Subtypes AJNR Am. J. Neuroradiol., October 1, 2008; 29(9): 1664 - 1670. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. S. Paulson and K. M. Schmainda Comparison of Dynamic Susceptibility-weighted Contrast-enhanced MR Methods: Recommendations for Measuring Relative Cerebral Blood Volume in Brain Tumors Radiology, September 9, 2008; (2008) 2492071659. [Abstract] [Full Text] |
||||
![]() |
T. Hirai, R. Murakami, H. Nakamura, M. Kitajima, H. Fukuoka, A. Sasao, M. Akter, Y. Hayashida, R. Toya, N. Oya, et al. Prognostic Value of Perfusion MR Imaging of High-Grade Astrocytomas: Long-Term Follow-Up Study AJNR Am. J. Neuroradiol., September 1, 2008; 29(8): 1505 - 1510. [Abstract] [Full Text] [PDF] |
||||
![]() |
V.A. Nagar, J.R. Ye, W.H. Ng, Y.H. Chan, F. Hui, C.K. Lee, and C.C.T. Lim Diffusion-Weighted MR Imaging: Diagnosing Atypical or Malignant Meningiomas and Detecting Tumor Dedifferentiation AJNR Am. J. Neuroradiol., June 1, 2008; 29(6): 1147 - 1152. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. B. Caseiras, J.S. Thornton, T. Yousry, C. Benton, J. Rees, A.D. Waldman, and H.R. Jager Inclusion or Exclusion of Intratumoral Vessels in Relative Cerebral Blood Volume Characterization in Low-Grade Gliomas: Does It Make a Difference? AJNR Am. J. Neuroradiol., June 1, 2008; 29(6): 1140 - 1141. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. E. Emblem, B. Nedregaard, T. Nome, P. Due-Tonnessen, J. K. Hald, D. Scheie, O. C. Borota, M. Cvancarova, and A. Bjornerud Glioma Grading by Using Histogram Analysis of Blood Volume Heterogeneity from MR-derived Cerebral Blood Volume Maps Radiology, June 1, 2008; 247(3): 808 - 817. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Law, R. J. Young, J. S. Babb, N. Peccerelli, S. Chheang, M. L. Gruber, D. C. Miller, J. G. Golfinos, D. Zagzag, and G. Johnson Gliomas: Predicting Time to Progression or Survival with Cerebral Blood Volume Measurements at Dynamic Susceptibility-weighted Contrast-enhanced Perfusion MR Imaging Radiology, May 1, 2008; 247(2): 490 - 498. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Danchaivijitr, A. D. Waldman, D. J. Tozer, C. E. Benton, G. Brasil Caseiras, P. S. Tofts, J. H. Rees, and H. R. Jager Low-Grade Gliomas: Do Changes in rCBV Measurements at Longitudinal Perfusion-weighted MR Imaging Predict Malignant Transformation? Radiology, April 1, 2008; 247(1): 170 - 178. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Lu, E. Pollack, R. Young, J.S. Babb, G. Johnson, D. Zagzag, R. Carson, J.H. Jensen, J.A. Helpern, and M. Law Predicting Grade of Cerebral Glioma Using Vascular-Space Occupancy MR Imaging AJNR Am. J. Neuroradiol., February 1, 2008; 29(2): 373 - 378. [Abstract] [Full Text] [PDF] |
||||
![]() |
H.S. Kim and S.Y. Kim A Prospective Study on the Added Value of Pulsed Arterial Spin-Labeling and Apparent Diffusion Coefficients in the Grading of Gliomas AJNR Am. J. Neuroradiol., October 1, 2007; 28(9): 1693 - 1699. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Law, R. Young, J. Babb, E. Pollack, and G. Johnson Histogram Analysis versus Region of Interest Analysis of Dynamic Susceptibility Contrast Perfusion MR Imaging Data in the Grading of Cerebral Gliomas AJNR Am. J. Neuroradiol., April 1, 2007; 28(4): 761 - 766. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| RADIOLOGY | RADIOGRAPHICS | RSNA JOURNALS ONLINE |