Amide proton transfer (APT) imaging of brain tumors at 7 T: The role of tissue water T1 -Relaxation properties.
Magn Reson Med
; 77(4): 1525-1532, 2017 04.
Article
in En
| MEDLINE
| ID: mdl-27060863
ABSTRACT
PURPOSE:
To provide insight into the effect of water T1 relaxation (T1wat ) on amide proton transfer (APT) contrast in tumors. Three different metrics of APT contrast-magnetization transfer ratio (MTRRex ), relaxation-compensated MTRRex (AREX), and traditional asymmetry (MTRasym )-were compared in normal and tumor tissues in a variety of intracranial tumors at 7 Tesla (T).METHODS:
Six consented intracranial tumor patients were scanned using a low-power, three-dimensional (3D) APT imaging sequence. MTRRex and MTRasym were calculated in the region of 3 to 4 ppm. AREX was calculated by T1wat correction of MTRRex . Tumor tissue masks, which classify different tumor tissues, were drawn by an experienced neuroradiologist. ROI-averaged tumor tissue analysis was done for MTRRex , AREX, and MTRasym .RESULTS:
MTRRex and MTRasym were slightly elevated in tumor-associated structures. Both metrics were positively correlated to T1wat . The correlation coefficient (R) was determined to be 0.88 (P < 0.05) and 0.92 (P << 0.05) for MTRRex and MTRasym , respectively. After T1wat correction (R = -0.21, P = 0.69), no difference between normal and tumor tissues was found for AREX.CONCLUSIONS:
The strong correlation of MTRRex and MTRasym with T1wat and the absence thereof in AREX suggests that much of APT contrast in tumors for the low-power, 3D-acquisition scheme at 7 T originates from the inherent tissue water T1 -relaxation properties. Magn Reson Med 771525-1532, 2017. © 2016 International Society for Magnetic Resonance in Medicine.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Body Water
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Brain Neoplasms
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Magnetic Resonance Imaging
/
Amides
Type of study:
Diagnostic_studies
Limits:
Female
/
Humans
/
Middle aged
Language:
En
Journal:
Magn Reson Med
Journal subject:
DIAGNOSTICO POR IMAGEM
Year:
2017
Document type:
Article
Affiliation country: