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Proton MR spectroscopy in predicting the increase of perfusion MR imaging for WHO grade II gliomas.
MedLine Citation:
PMID:  22045581     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSE: To investigate the correlation between the metabolite ratios obtained from proton magnetic resonance (MR) spectroscopy and those obtained from MR perfusion parameters (relative cerebral blood volume [rCBV]) in a cohort of low-grade glioma (LGG). MATERIALS AND METHODS: Patients underwent prospectively conventional MR, proton magnetic resonance spectroscopy ((1) HMRS), and perfusion-weighted images (PWI). Statistical analyses were performed to determine the correlative and independent predictive factors of rCBVmax and the metabolite ratio thresholds with optimum sensitivity and specificity. RESULTS: Thirty-one patients were included in this study. Linear correlations were observed between the metabolic ratios (lactate [Lac]/creatine [Cr], choline [Cho]/N-acetyl-aspartate [NAA], free-lipids/Cr) and rCBVmax (P < 0.05). These metabolic ratios were determined to be independent predictive factors of rCBVmax (P = 0.027, 0.011 and 0.032, respectively). According to the receiver operating characteristic curves, the cutoff values of the metabolic ratios to discriminate between the two populations of rCBVmax (<1.7 versus = 1.7) were 1.72, 1.54, and 1.40, respectively, with a sensitivity = 75% and a specificity >95% for Lac/Cr. CONCLUSION: This study demonstrated consistent correlations between the data from (1) HMRS and PWI. The Lac/Cr ratio predicts regional hemodynamic changes, which are themselves a useful biomarker of clinical prognosis in patients with LGG. As such, this ratio may provide a new parameter for making improved clinical decisions. J. Magn. Reson. Imaging 2011;. © 2011 Wiley Periodicals, Inc.
Authors:
Remy Guillevin; Carole Menuel; Lucas Abud; Robert Costalat; Laurent Capelle; Khê Hoang-Xuan; Christophe Habas; Jacques Chiras; Jean-Noel Vallée
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-11-1
Journal Detail:
Title:  Journal of magnetic resonance imaging : JMRI     Volume:  -     ISSN:  1522-2586     ISO Abbreviation:  -     Publication Date:  2011 Nov 
Date Detail:
Created Date:  2011-11-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9105850     Medline TA:  J Magn Reson Imaging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Wiley-Liss, Inc.
Affiliation:
Department of Neuroradiology, Pitié-Sapêtrière Hospital, Paris, France; Functional Imaging Laboratory, INSERM U678, University of Paris 6, Paris, France. remy.guillevin@psl.aphp.fr.
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