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Comparing different analysis methods for quantifying the MRI amide proton transfer (APT) effect in hyperacute stroke

Y K Tee1, G W J Harston, N Blockley

  • 1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK; Centre for Doctoral Training in Healthcare Innovation, University of Oxford, Oxford, UK.

NMR in Biomedicine
|June 11, 2014
PubMed
Summary
This summary is machine-generated.

Amide proton transfer (APT) imaging offers new pH mapping for stroke penumbra identification. A model-based analysis provides more accurate and quantitative APT measurements than traditional methods in stroke patients.

Keywords:
Amide proton transfer (APT) imagingMRIchemical exchange saturation transfer (CEST) imagingmagnetization transfer (MT) imagingpHstroke

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Area of Science:

  • Medical Imaging
  • Neuroscience
  • Biophysics

Background:

  • Amide proton transfer (APT) imaging is a pH mapping technique utilizing chemical exchange saturation transfer.
  • Current APT imaging literature often focuses on pH-weighted contrast rather than quantitative pH mapping.
  • Identifying the stroke penumbra is crucial for timely and effective treatment.

Purpose of the Study:

  • To compare the widely used asymmetry analysis with a model-based analysis for APT data.
  • To assess the quantitative accuracy and reliability of these methods in healthy subjects and hyperacute stroke patients.
  • To generate quantitative pH maps for hyperacute stroke patients using APT imaging.

Main Methods:

  • Collected APT imaging data from 2 healthy subjects and 6 hyperacute stroke patients.
  • Applied both asymmetry analysis and model-based analysis to the APT data.
  • Utilized fitted parameters and a published pH-exchange rate relationship to generate pH maps.

Main Results:

  • The model-based approach demonstrated lower variation in grey and white matter (≤13.8%) and smaller inter-tissue contrast (3.48%) in healthy volunteers.
  • The model-based approach showed superior quantitative performance in hyperacute stroke patients.
  • Quantified APT effect was consistently lower in the infarct core (1.5 ± 0.3%) compared to contralateral tissue (1.9 ± 0.4%).

Conclusions:

  • Model-based analysis offers a more robust and quantitative method for APT imaging compared to asymmetry analysis.
  • This study successfully generated the first quantitative pH maps in hyperacute stroke patients using APT imaging.
  • Quantitative APT imaging holds significant potential for improved stroke diagnosis and penumbra identification.