Faculty Collaboration Database

Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. AJNR Am J Neuroradiol 2004 Oct;25(9):1524-32

Date

10/27/2004

Pubmed ID

15502131

Pubmed Central ID

PMC7976425

Scopus ID

2-s2.0-16644383149 (requires institutional sign-in at Scopus site)   179 Citations

Abstract

BACKGROUND AND PURPOSE: No widespread clinical method provides specific information about the angiogenic characteristics of gliomas. We characterized blood volume and vascular morphologic parameters from combined gradient-echo (GE) and spin-echo (SE) MR imaging and assessed their relationship to tumor grade, a known correlate of glioma angiogenesis.

METHODS: Simultaneous GE and SE echo-planar imaging was performed with bolus gadolinium administration (0.20-0.25 mmol/kg) in 73 patients with glioma. To diminish possible T1 changes due to contrast agent extravasation, a preload (0.05-0.10 mmol/kg) was administered before the study, and a postprocessing correction algorithm was applied. Image maps of total (GE) and microvascular (SE) relative cerebral blood volume (rCBV) and the mean vessel diameter (mVD) calculated from the ratio of GE and SE relaxation rate changes (DeltaR2*/DeltaR2) were compared with tumor grade. A nonparametric K nearest-neighbor decision rule was applied to determine if the combined data could be used to distinguish low-grade (I-II) from high-grade (III-IV) tumors on a per-patient basis.

RESULTS: For whole tumors, significant correlations were found between GE rCBV and grade (P < .0001) and between mVD and grade (P = .0001) but not between SE rCBV and grade (P = .08). For areas of highest SE rCBV (microvascular hotspots), SE rCBV and tumor grade were significantly correlated (P = .0007). In terms of differentiation, 69% of low-grade tumors and 96% of high-grade tumors were correctly classified.

CONCLUSION: Combined GE and SE MR imaging provides information consistent with neoplastic angiogenesis, demonstrating its potential to aid in optimizing treatments, categorizing lesions, and influencing patient care.

Author List

Schmainda KM, Rand SD, Joseph AM, Lund R, Ward BD, Pathak AP, Ulmer JL, Badruddoja MA, Krouwer HG

Author

Kathleen M. Schmainda PhD Professor in the Biophysics department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Adult
Aged
Aged, 80 and over
Blood Volume
Brain
Brain Neoplasms
Contrast Media
Echo-Planar Imaging
Female
Gadolinium DTPA
Glioma
Humans
Image Processing, Computer-Assisted
Male
Microcirculation
Middle Aged
Neoplasm Recurrence, Local
Neovascularization, Pathologic
Prognosis