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The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced

Eve S Shalom1,2, Harrison Kim3, Rianne A van der Heijden4,5

  • 1School of Physics and Astronomy, University of Leeds, Leeds, UK.

Magnetic Resonance in Medicine
|December 20, 2023
PubMed
Summary

Quantitative imaging biomarkers like Ktrans are crucial for cancer assessment but lack standardization. The OSIPI-DCE challenge revealed significant variability in Ktrans measurements across different software, highlighting the need for standardized methods.

Keywords:
DCE-MRIchallengedata analysisglioblastomaopen-scienceperfusion

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Area of Science:

  • Medical Imaging
  • Quantitative MRI
  • Radiomics

Background:

  • Quantitative imaging biomarkers, such as Ktrans, are vital for tumor diagnosis, prognosis, and treatment response assessment.
  • Current software tools for Ktrans quantification lack standardization, leading to inconsistent results.
  • The International Society for Magnetic Resonance in Medicine (ISMRM) Open Science Initiative for Perfusion Imaging-Dynamic Contrast-Enhanced (OSIPI-DCE) challenge was established to address this standardization gap.

Purpose of the Study:

  • To benchmark different software pipelines for Ktrans quantification using dynamic contrast-enhanced MRI (DCE-MRI).
  • To evaluate the accuracy, repeatability, and reproducibility of Ktrans measurements across various analysis methods.
  • To identify factors influencing Ktrans estimation variability and promote standardization efforts.

Main Methods:

  • A standardized framework was developed to evaluate Ktrans values generated by DCE-MRI analysis pipelines.
  • Perfusion MRI experts submitted their Ktrans quantification pipelines for glioblastoma using clinical and synthetic data.
  • Submissions included Ktrans values, software used, and standard operating procedures, which were assessed using a Ktrans score (accuracy, repeatability, reproducibility).

Main Results:

  • The Ktrans score varied widely (28%–78%, median 59%) across 10 submissions.
  • Accuracy, repeatability, and reproducibility scores ranged from 0.54–0.92, 0.64–0.86, and 0.65–1.00, respectively.
  • Manual arterial input function selection significantly impacted reproducibility, showing greater variability than automated methods; detailed standard operating procedures improved reproducibility.

Conclusions:

  • The OSIPI-DCE challenge demonstrated substantial inter-software variability in Ktrans estimation.
  • The study provides a benchmarking framework and scores for ongoing evaluation of Ktrans quantification methods.
  • Standardized protocols and automated methods are crucial for reliable and reproducible Ktrans measurements in clinical practice.