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Different software applications significantly impact magnetic resonance (MR) perfusion values, affecting reproducibility. Using arterial input function (AIF) increases variability, making comparisons difficult; simpler analysis methods yield more stable results.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Neuroscience

Background:

  • Reproducibility of magnetic resonance (MR) perfusion values is crucial for accurate diagnosis and treatment monitoring.
  • Variability in MR perfusion parameters can arise from differences in postprocessing algorithms and software.
  • Dynamic susceptibility contrast (DSC) MR imaging (MRI) is widely used for assessing brain perfusion.

Purpose of the Study:

  • To investigate the reproducibility and variability of DSC-MR imaging parameters.
  • To compare results obtained from two commercial software applications with different postprocessing algorithms.
  • To identify factors influencing the variability of MR perfusion values.

Main Methods:

  • Retrospective evaluation of DSC-MRI datasets from 24 glioblastoma multiforme patients.
  • Postprocessing of perfusion data using NordicICE and GE Brainstat software.
  • Comparison focused on gamma-variate fitting function (GVF) and arterial input function (AIF) algorithms.
  • Analysis of cerebral blood volume (CBV), cerebral blood flow (CBF), and mean transit time (MTT) in tumor and normal brain regions.

Main Results:

  • Software type and calculation methods significantly affected perfusion parameter values (P < 0.0001).
  • Use of AIF increased variability in CBV values (P = 0.048).
  • GVF use impacted nCBF values, while nCBV and nMTT showed no significant differences between certain calculations.

Conclusions:

  • Different software applications lead to varying MR perfusion results, even with similar algorithms.
  • Arterial input function (AIF) introduction increases result variability, potentially hindering inter- and intra-hospital comparisons.
  • Simpler raw curve analysis approaches offer more stable and reproducible perfusion parameter estimations.