AI Article Synopsis

  • The study aims to assess how factors like direct water saturation (DWS) and magnetization transfer contrast (MTC) impact the Z-spectra and amide proton transfer (APT) contrast in brain tumors.
  • Using 3D MR fingerprinting (MRF) scans on high-grade glioma patients, researchers employed a neural network to analyze multiple tissue properties from the MRF signals and synthesize relevant spectra for evaluation.
  • Results showed that while DWS and MTC effects were the primary contributors to the saturation signal, significant APT contrast was found between gadolinium-enhancing tumors and normal tissues, indicating potential diagnostic value.

Article 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.

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.

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 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).

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11436306PMC
http://dx.doi.org/10.1002/mrm.30241DOI Listing

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