Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis.

Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Research Abstract Details 

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Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Abstract Text:

Kathleen M Schmainda,Scott D Rand,Allen M Joseph,Rebecca Lund,B Doug Ward,Arvind P Pathak,John L Ulmer,Michael A Badruddoja,Michael A Baddrudoja,Hendrikus G J Krouwer,

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.

Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Publishing Authors By Initials

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

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

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Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: AJNR. American journal of neuroradiology

VOLUME: 25

Page Numbers: 1524-32

Journal Abbreviation:

ISSN: 0195-6108

DAY: 14

MONTH: Oct

YEAR: 2004

Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Information

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LANGUAGE: eng

NlmUniqueID: 8003708

Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Keywords Mesh Terms:

KEYWORDS: Prognosis

MESH TERMS: diagnosis

Chemical & Substance for Abstract: Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis. Information

Substance Name: Gadolinium DTPA

Registry Number: 80529-93-7

Grant and Affiliation Information for Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis.

AFFILIATION: Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.

Country: United States

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MEDLINETA: AJNR Am J Neuroradiol

REFSOURCE: AJNR Am J Neuroradiol. 2005 Mar;26(3):68

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