High-resolution metabolic imaging of high-grade gliomas using 7T-CRT-FID-MRSI

Autor: Hangel, Gilbert, Cadrien, Cornelius, Lazen, Philipp, Furtner, Julia, Lipka, Alexandra, Hečková, Eva, Hingerl, Lukas, Motyka, Stanislav, Gruber, Stephan, Strasser, Bernhard, Kiesel, Barbara, Mischkulnig, Mario, Preusser, Matthias, Roetzer, Thomas, Wöhrer, Adelheid, Widhalm, Georg, Rössler, Karl, Trattnig, Siegfried, Bogner, Wolfgang
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
PT
peritumoral
Cys
cysteine
mIns
(myo-)inositol
ROI
region of interest
Metabolic imaging
NEC
necrotic
FOV
field of view
WET
water suppression enhanced through T1 effects
lcsh:RC346-429
Magnetic resonance spectroscopic imaging
T1w
T1-weighted
High-grade glioma
7 Tesla
GSH
glutathione
MP2RAGE
magnetization-prepared 2 rapid acquisition gradient echoes
SVS
magnetic resonance single-voxel spectroscopy
Tau
taurine
TE
echo time
Gly
glycine
Brain Neoplasms
Concentric circle trajectories
SAR
specific absorption rate
TME
tumor microenvironment
Brain
Regular Article
HGG
high-grade glioma
MM
macromolecules
Glioma
SNR
signal-to-noise ratio
Middle Aged
Magnetic Resonance Imaging
TR
repetition time
FWHM
full width at half maximum
Gln
glutamine
lcsh:R858-859.7
Female
iMUSICAL
interleaved multichannel spectroscopic data combined by matching image calibration data
UHF
ultra-high-field
NCE
non-contrast-enhanced
Adult
Ser
serine
Glycine
IDH
isocitrate dehydrogenase
lcsh:Computer applications to medicine. Medical informatics
PET
positron emission tomography
T2w
T2-weighted
NAA
N-acetyl-aspartate
WT
wildtype
Humans
tCho
choline-containing compounds
CRLB
Cramér–Rao lower bound
2HG
2-hydroxyglutarate
NAWM
normal-appearing white matter
WM
white matter
VOI
volume of interest
lcsh:Neurology. Diseases of the nervous system
ComputingMethodologies_COMPUTERGRAPHICS
Aged
CE
contrast-enhanced
Glu
glutamate
NAAG
N-acetyl-aspartyl glutamate
Reproducibility of Results
FLAIR
fluid-attenuated inversion recovery
MRSI
magnetic resonance spectroscopic imaging
Ctn
cystathionine
CRT
concentric ring trajectories
tCr
total creatine
creatine + phosphocreatine
GM
gray matter
FID
free induction decay
GABA
γ-aminobutyric acid
Zdroj: NeuroImage: Clinical, Vol 28, Iss, Pp 102433-(2020)
NeuroImage : Clinical
ISSN: 2213-1582
Popis: Graphical abstract
Highlights • We demonstrated reliable and fast whole-brain 3D-MRSI of high-grade gliomas at 7T. • tCho, Gln, and Gly were increased in contrast-enhancing tumor tissue. • Results corresponded well to clinical data, but show more differentiated images. • We found cases of heterogeneity in metabolic images not visible in clinical imaging.
Objectives Successful neurosurgical intervention in gliomas depends on the precision of the preoperative definition of the tumor and its margins since a safe maximum resection translates into a better patient outcome. Metabolic high-resolution imaging might result in improved presurgical tumor characterization, and thus optimized glioma resection. To this end, we validated the performance of a fast high-resolution whole-brain 3D-magnetic resonance spectroscopic imaging (MRSI) method at 7T in a patient cohort of 23 high-grade gliomas (HGG). Materials and methods We preoperatively measured 23 patients with histologically verified HGGs (17 male, 8 female, age 53 ± 15) with an MRSI sequence based on concentric ring trajectories with a 64 × 64 × 39 measurement matrix, and a 3.4 × 3.4 × 3.4 mm3 nominal voxel volume in 15 min. Quantification used a basis-set of 17 components including N-acetyl-aspartate (NAA), total choline (tCho), total creatine (tCr), glutamate (Glu), glutamine (Gln), glycine (Gly) and 2-hydroxyglutarate (2HG). The resultant metabolic images were evaluated for their reliability as well as their quality and compared to spatially segmented tumor regions-of-interest (necrosis, contrast-enhanced, non-contrast enhanced + edema, peritumoral) based on clinical data and also compared to histopathology (e.g., grade, IDH-status). Results Eighteen of the patient measurements were considered usable. In these patients, ten metabolites were quantified with acceptable quality. Gln, Gly, and tCho were increased and NAA and tCr decreased in nearly all tumor regions, with other metabolites such as serine, showing mixed trends. Overall, there was a reliable characterization of metabolic tumor areas. We also found heterogeneity in the metabolic images often continued into the peritumoral region. While 2HG could not be satisfyingly quantified, we found an increase of Glu in the contrast-enhancing region of IDH-wildtype HGGs and a decrease of Glu in IDH1-mutant HGGs. Conclusions We successfully demonstrated high-resolution 7T 3D-MRSI in HGG patients, showing metabolic differences between tumor regions and peritumoral tissue for multiple metabolites. Increases of tCho, Gln (related to tumor metabolism), Gly (related to tumor proliferation), as well as decreases in NAA, tCr, and others, corresponded very well to clinical tumor segmentation, but were more heterogeneous and often extended into the peritumoral region.
Databáze: OpenAIRE
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