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Unraveling contributions to the Z-spectrum signal at 3.5 ppm of human brain tumors.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2024 Dec; Vol. 92 (6), pp. 2641-2651. Date of Electronic Publication: 2024 Jul 31. - Publication Year :
- 2024
-
Abstract
- Purpose: To evaluate the influence of the confounding factors, direct water saturation (DWS), and magnetization transfer contrast (MTC) effects on measured Z-spectra and amide proton transfer (APT) contrast in brain tumors.<br />Methods: High-grade glioma patients were scanned using an RF saturation-encoded 3D MR fingerprinting (MRF) sequence at 3 T. For MRF reconstruction, a recurrent neural network was designed to learn free water and semisolid macromolecule parameter mappings of the underlying multiple tissue properties from saturation-transfer MRF signals. The DWS spectra and MTC spectra were synthesized by solving Bloch-McConnell equations and evaluated in brain tumors.<br />Results: The dominant contribution to the saturation effect at 3.5 ppm was from DWS and MTC effects, but 25%-33% of the saturated signal in the gadolinium-enhancing tumor (13%-20% for normal tissue) was due to the APT effect. The APT <superscript>#</superscript> signal of the gadolinium-enhancing tumor was significantly higher than that of the normal-appearing white matter (10.1% vs. 8.3% at 1 μT and 11.2% vs. 7.8% at 1.5 μT).<br />Conclusion: The RF saturation-encoded MRF allowed us to separate contributions to the saturation signal at 3.5 ppm in the Z-spectrum. Although free water and semisolid MTC are the main contributors, significant APT contrast between tumor and normal tissues was observed.<br /> (© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
- Subjects :
- Humans
Female
Male
Adult
Middle Aged
Contrast Media chemistry
Imaging, Three-Dimensional
Image Processing, Computer-Assisted methods
Brain diagnostic imaging
Algorithms
Gadolinium chemistry
Brain Neoplasms diagnostic imaging
Magnetic Resonance Imaging methods
Glioma diagnostic imaging
Glioma pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 92
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 39086185
- Full Text :
- https://doi.org/10.1002/mrm.30241