Short echo time proton spectroscopy of the brain in healthy volunteers using an insert gradient head coil

1995 ◽  
Vol 13 (1) ◽  
pp. 105-109 ◽  
Author(s):  
Peter Gideon ◽  
Else Rubæk Danielsen ◽  
Monika Schneider ◽  
Ole Henriksen
1995 ◽  
Vol 13 (6) ◽  
pp. 871-875 ◽  
Author(s):  
M. Paley ◽  
I.D. Wilkinson ◽  
M.A. Hall-Craggs ◽  
W.K. Chong ◽  
R.J.S. Chinn ◽  
...  

1992 ◽  
Vol 10 (4) ◽  
pp. 649-654 ◽  
Author(s):  
Anthony Majors ◽  
Min Xue ◽  
Thian C. Ng ◽  
Michael T. Modic

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi11-vi12
Author(s):  
Mohamed El-Abtah ◽  
Michael Wenke ◽  
Pratik Talati ◽  
Melanie Fu ◽  
Daniel Kim ◽  
...  

Abstract BACKGROUND Recurrent glioblastoma (rGBM) patients are often treated with anti-angiogenic agents such as bevacizumab (BEV). Despite therapeutic promise, conventional MR methods fail to determine which patients may not benefit. PURPOSE: The purpose of this study was to utilize magnetic resonance spectroscopic imaging (MRSI) with intermediate and short echo time to generate corrected Myo-inositol normalized by contralateral creatine (mI/c-Cr) in patients with rGBM treated with BEV and investigate whether it can predict survivorship prior to BEV initiation (baseline) and at 1-day, 4-weeks, and 8-weeks thereafter. METHODS We conducted a prospective, longitudinal study and evaluated spectroscopic data of myo-inositol (mI), a glial marker and osmoregulator within the brain, normalized to contralateral-creatine (mI/c-Cr) in the intratumoral, contralateral normal appearing white matter, and peritumoral volumes of rGBM patients. Area under the ROC curve (AUC) was calculated for all volumes at baseline, 1-day, 4-weeks, and 8-weeks after treatment to determine mI/c-Cr’s ability to predict survivorship. RESULTS 21 participants (62 ± 12 years, 15 men) were evaluated. Lower mI/c-Cr in the tumor prior to and during BEV treatment predicted poor survivorship, with ROC analyses illustrating an AUC of 0.75 at baseline, 0.87 at 1-day, and 1 at 8 weeks. Lower levels of mI/c-Cr were also observed in the contralateral and the peritumoral volumes for shorter-term survivors. In the contralateral volume, lower mI/Cr was predictive of shorter-term survival at baseline and all other timepoints. Within the peritumoral volume, lower mI/c-Cr was predictive of shorter-term survival at baseline (AUC=0.80), 1-day (AUC=0.93), and 4-weeks (AUC=0.68). CONCLUSIONS Lower levels of mI/c-Cr within intratumoral, contralateral, and peritumoral volumes were predictive of poor survivorship and anti-angiogenic treatment failure as early as one month before BEV treatment. Acquiring MRSI alongside conventional MR imaging modalities can convey critical information regarding tumor microenvironment that informs management of patients with rGBM.


2003 ◽  
Vol 45 (12) ◽  
pp. 887-892 ◽  
Author(s):  
A. Waldman ◽  
J. H. Rees ◽  
C. S. Brock ◽  
M. D. Robson ◽  
P. D. Gatehouse ◽  
...  

1998 ◽  
Vol 16 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Uwe Seeger ◽  
Uwe Klose ◽  
Dietmar Seitz ◽  
Thomas Nägele ◽  
Otto Lutz ◽  
...  

2001 ◽  
Vol 43 (5) ◽  
pp. 353-363 ◽  
Author(s):  
M. Kaminogo ◽  
H. Ishimaru ◽  
M. Morikawa ◽  
M. Ochi ◽  
R. Ushijima ◽  
...  

2015 ◽  
Vol 8 (1) ◽  
pp. 11-16
Author(s):  
Mária Jozefovičová ◽  
Ivica Just ◽  
Tibor Liptaj ◽  
Svatava Kašparová

Abstract The quantification of in vivo 1H magnetic resonance (MR) spectra measured from the rat brains provides important information about the brain metabolite concentrations and can help to understand the role of the metabolites under normal and pathological conditions. The purpose of this study was to compare the most frequently used algorithms for quantification of 1H spectra: LCModel (Linear Combination of Model spectra) and QUEST (QUantitation based on QUantum ESTimation) from jMRUI software (Java based Magnetic Resonance User Interface). The comparison was done on a rat model of vascular dementia (VD). The MR spectra were measured on 4.7T spectrometer with ultra-short echo time by sequence SPECIAL. For these types of spectra the contribution from the macromolecules and lipids is large. Our analysis revealed that all values determined by QUEST, except for one value, were lower in comparison to values obtained by LCModel. The minimal differences were found in N-acetylaspartate/(phospho) creatine (−0.3 %) and maximal in inositol in both control and VD rats. This underestimation of a metabolite concentration in QUEST may be caused by an overestimation of baseline. Although our study found the different values of metabolite concentrations by these two methods, the quantified metabolite changes in pathological brain were comparable in both analyses.


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