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

Eve S. Shalom, Harrison Kim, Rianne A. van Der Heijden, Zaki Ahmed, Reyna Patel, David A. Hormuth, Julie C. DiCarlo, Thomas E. Yankeelov, Nicholas J. Sisco, Richard D. Dortch, Ashley M. Stokes, Marianna Inglese, Matthew Grech-Sollars, Nicola Toschi, Prativa Sahoo, Anup Singh, Sanjay K. Verma, Divya K. Rathore, Anum S. Kazerouni, Savannah C. PartridgeEve LoCastro, Ramesh Paudyal, Ivan A. Wolansky, Amita Shukla-Dave, Pepijn Schouten, Oliver J. Gurney-Champion, Radovan Jirik, Ondrej Macicek, Michal Bartos, Jiri Vitous, Ayesha Bharadwaj Das, S. Gene Kim, Louisa Bokacheva, Artem Mikheev, Henry Rusinek, Michael Berks, Penny L. Hubbard Cristinacce, Ross A. Little, Susan Cheung, James P. B. O'Connor, Geoff J. M. Parker, Brendan Moloney, Peter S. LaViolette, Samuel Bobholz, Savannah Duenweg, John Virostko, Hendrik O. Laue, Kyunghyun Sung, Ali Nabavizadeh, Hamidreza Saligheh Rad, Leland S. Hu, Steven Sourbron, Laura C. Bell, Anahita Fathi Kazerooni*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

Purpose: (Formula presented.) has often been proposed as a quantitative imaging biomarker for diagnosis, prognosis, and treatment response assessment for various tumors. None of the many software tools for (Formula presented.) quantification are standardized. The ISMRM Open Science Initiative for Perfusion Imaging–Dynamic Contrast-Enhanced (OSIPI-DCE) challenge was designed to benchmark methods to better help the efforts to standardize (Formula presented.) measurement. Methods: A framework was created to evaluate (Formula presented.) values produced by DCE-MRI analysis pipelines to enable benchmarking. The perfusion MRI community was invited to apply their pipelines for (Formula presented.) quantification in glioblastoma from clinical and synthetic patients. Submissions were required to include the entrants' (Formula presented.) values, the applied software, and a standard operating procedure. These were evaluated using the proposed (Formula presented.) score defined with accuracy, repeatability, and reproducibility components. Results: Across the 10 received submissions, the (Formula presented.) score ranged from 28% to 78% with a 59% median. The accuracy, repeatability, and reproducibility scores ranged from 0.54 to 0.92, 0.64 to 0.86, and 0.65 to 1.00, respectively (0–1 = lowest–highest). Manual arterial input function selection markedly affected the reproducibility and showed greater variability in (Formula presented.) analysis than automated methods. Furthermore, provision of a detailed standard operating procedure was critical for higher reproducibility. Conclusions: This study reports results from the OSIPI-DCE challenge and highlights the high inter-software variability within (Formula presented.) estimation, providing a framework for ongoing benchmarking against the scores presented. Through this challenge, the participating teams were ranked based on the performance of their software tools in the particular setting of this challenge. In a real-world clinical setting, many of these tools may perform differently with different benchmarking methodology.

Original languageEnglish
Pages (from-to)1803-1821
Number of pages19
JournalMagnetic Resonance in Medicine
Volume91
Issue number5
Early online date19 Dec 2023
DOIs
Publication statusPublished - May 2024

Bibliographical note

Publisher Copyright:
© 2023 International Society for Magnetic Resonance in Medicine.

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