High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T.
Neuroimage
; 191: 587-595, 2019 05 01.
Article
in En
| MEDLINE
| ID: mdl-30772399
ABSTRACT
OBJECTIVES:
To demonstrate the feasibility of 7â¯T magnetic resonance spectroscopic imaging (MRSI), combined with patch-based super-resolution (PBSR) reconstruction, for high-resolution multi-metabolite mapping of gliomas. MATERIALS ANDMETHODS:
Ten patients with WHO grade II, III and IV gliomas (6/4, male/female; 45⯱â¯9 years old) were prospectively measured between 2014 and 2018 on a 7â¯T whole-body MR imager after routine 3â¯T magnetic resonance imaging (MRI) and positron emission tomography (PET). Free induction decay MRSI with a 64â¯×â¯64-matrix and a nominal voxel size of 3.4â¯×â¯3.4â¯×â¯8â¯mm³ was acquired in six minutes, along with standard T1/T2-weighted MRI. Metabolic maps were obtained via spectral LCmodel processing and reconstructed to 0.9â¯×â¯0.9â¯×â¯8â¯mm³ resolutions via PBSR.RESULTS:
Metabolite maps obtained from combined 7â¯T MRSI and PBSR resolved the density of metabolic activity in the gliomas in unprecedented detail. Particularly in the more heterogeneous cases (e.g. post resection), metabolite maps enabled the identification of complex metabolic activities, which were in topographic agreement with PET enhancement.CONCLUSIONS:
PBSR-MRSI combines the benefits of ultra-high-field MR systems, cutting-edge MRSI, and advanced postprocessing to allow millimetric resolution molecular imaging of glioma tissue beyond standard methods. An ideal example is the accurate imaging of glutamine, which is a prime target of modern therapeutic approaches, made possible due to the higher spectral resolution of 7â¯T systems.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Brain Neoplasms
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Magnetic Resonance Imaging
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Magnetic Resonance Spectroscopy
/
Molecular Imaging
/
Glioma
Limits:
Adult
/
Female
/
Humans
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Male
/
Middle aged
Language:
En
Journal:
Neuroimage
Journal subject:
DIAGNOSTICO POR IMAGEM
Year:
2019
Type:
Article
Affiliation country:
Austria