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The Ismrm Open Science Initiative for Perfusion Imaging (Osipi): Results From the Osipi–Dynamic Contrast-Enhanced Challenge Publisher Pubmed



Shalom ES1, 2 ; Kim H3 ; Van Der Heijden RA4, 5 ; Ahmed Z6 ; Patel R7 ; Dicarlo JC9 ; Yankeelov TE10, 11 ; Sisco NJ12 ; Dortch RD12 ; Stokes AM12 ; Inglese M13, 14 ; Grechsollars M14, 15, 16 ; Toschi N13, 17 ; Sahoo P18 Show All Authors
Authors
  1. Shalom ES1, 2
  2. Kim H3
  3. Van Der Heijden RA4, 5
  4. Ahmed Z6
  5. Patel R7
  6. Dicarlo JC9
  7. Yankeelov TE10, 11
  8. Sisco NJ12
  9. Dortch RD12
  10. Stokes AM12
  11. Inglese M13, 14
  12. Grechsollars M14, 15, 16
  13. Toschi N13, 17
  14. Sahoo P18
  15. Singh A19
  16. Verma SK20
  17. Rathore DK21
  18. Kazerouni AS22
  19. Partridge SC22
  20. Locastro E23
  21. Paudyal R23
  22. Wolansky IA23
  23. Shukladave A23, 24
  24. Schouten P25
  25. Gurneychampion OJ25, 26
  26. Jirik R27
  27. Macicek O27
  28. Bartos M28
  29. Vitous J27
  30. Das AB29
  31. Kim SG29
  32. Bokacheva L30
  33. Mikheev A30
  34. Rusinek H30
  35. Berks M31
  36. Hubbard Cristinacce PL31
  37. Little RA31
  38. Cheung S31
  39. Oconnor JPB31, 32, 33
  40. Parker GJM34, 35
  41. Moloney B36
  42. Laviolette PS37
  43. Bobholz S37
  44. Duenweg S37
  45. Virostko J38
  46. Laue HO39
  47. Sung K40
  48. Nabavizadeh A41, 42
  49. Saligheh Rad H43, 44
  50. Hu LS45
  51. Sourbron S2
  52. Bell LC46
  53. Fathi Kazerooni A43, 47

Source: Magnetic Resonance in Medicine Published:2024


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. © 2023 International Society for Magnetic Resonance in Medicine.
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