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CryptoCEST: A promising tool for spatially resolved identification of fungal brain lesions and their differentiation from brain tumors with MRI
- Source :
- NeuroImage : Clinical, NeuroImage: Clinical, NeuroImage: Clinical, Vol 31, Iss, Pp 102737-(2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Highlights • The fungal disaccharide trehalose generates a concentration-dependent CEST MRI contrast. • CEST MRI can detect endogenous trehalose in Cryptococcus neoformans and C. gattii cells. • This enables spatially resolved identification of fungal lesions in the mouse brain. • The CryptoCEST contrast can differentiate cryptococcal brain lesions from gliomas. • CryptoCEST holds potential for non-invasive differential diagnosis of cryptococcomas.<br />Infectious brain lesions caused by the pathogenic fungi Cryptococcus neoformans and C. gattii, also referred to as cryptococcomas, could be diagnosed incorrectly as cystic brain tumors if only based on conventional magnetic resonance (MR) images. Previous MR spectroscopy (MRS) studies showed high local concentrations of the fungal disaccharide trehalose in cryptococcomas. The aim of this study was to detect and localize fungal brain lesions caused by Cryptococcus species based on Chemical Exchange Saturation Transfer (CEST) MR imaging of endogenous trehalose, and hereby to distinguish cryptococcomas from gliomas. In phantoms, trehalose and cryptococcal cells generated a concentration-dependent CEST contrast in the 0.2 – 2 ppm chemical shift range, similar to glucose, but approximately twice as strong. In vivo single voxel MRS of a murine cryptococcoma model confirmed the presence of trehalose in cryptococcomas, but mainly for lesions that were large enough compared to the size of the MRS voxel. With CEST MRI, combining the more specific CEST signal at 0.7 ppm with the higher signal-to-noise ratio signal at 4 ppm in the CryptoCEST contrast enabled localization and distinction of cryptococcomas from the normal brain and from gliomas, even for lesions smaller than 1 mm3. Thanks to the high endogenous concentration of the fungal biomarker trehalose in cryptococcal cells, the CryptoCEST contrast allowed identification of cryptococcomas with high spatial resolution and differentiation from gliomas in mice. Furthermore, the CryptoCEST contrast was tested to follow up antifungal treatment of cryptococcomas. Translation of this non-invasive method to the clinic holds potential for improving the differential diagnosis and follow-up of cryptococcal infections in the brain.
- Subjects :
- Fungal infection
In vivo magnetic resonance spectroscopy
Pathology
TREHALOSE
Mice
chemistry.chemical_compound
0302 clinical medicine
INFECTION
IN-VIVO
SPECTROSCOPY
medicine.diagnostic_test
biology
Brain Neoplasms
MTRasym, magnetization transfer ratio asymmetry
APT, amide proton transfer
MR spectroscopy
05 social sciences
food and beverages
Brain
Cell Differentiation
Regular Article
Cryptococcosis
Magnetic Resonance Imaging
CEST MR imaging
Neurology
p.i., post injection
Biomarker (medicine)
Life Sciences & Biomedicine
medicine.medical_specialty
VARIETY
Cognitive Neuroscience
Computer applications to medicine. Medical informatics
R858-859.7
PBS, phosphate-buffered saline
CONTRAST
Neuroimaging
DIAGNOSIS
050105 experimental psychology
CEST MRI
03 medical and health sciences
In vivo
medicine
Animals
CEST, chemical exchange saturation transfer
SPECTRA
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
RC346-429
NOE, nuclear Overhauser effect
Cryptococcus neoformans
Science & Technology
Trehalose
Magnetic resonance imaging
MRS, magnetic resonance spectroscopy
Biomarker
biology.organism_classification
medicine.disease
CFU, colony forming unit
chemistry
Neurology. Diseases of the nervous system
Human medicine
Neurosciences & Neurology
Neurology (clinical)
Differential diagnosis
CRYPTOCOCCAL MENINGITIS
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 22131582
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- NeuroImage: Clinical
- Accession number :
- edsair.doi.dedup.....3513752b55b7d42db2819e61a7050b0e