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

Shalom, ES
; 
Kim, H
; 
van der Heijden, RA
; 
Ahmed, Z
; 
Patel, R
; 
Hormuth, D A, 2nd
; 
DiCarlo, J C
; 
Yankeelov, T E
; 
Sisco, N J
; 
Dortch, R D
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Abstract
PURPOSE: Ktrans 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 Ktrans 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 Ktrans measurement. METHODS: A framework was created to evaluate Ktrans values produced by DCE-MRI analysis pipelines to enable benchmarking. The perfusion MRI community was invited to apply their pipelines for Ktrans quantification in glioblastoma from clinical and synthetic patients. Submissions were required to include the entrants' Ktrans values, the applied software, and a standard operating procedure. These were evaluated using the proposed OSIPIgold score defined with accuracy, repeatability, and reproducibility components. RESULTS: Across the 10 received submissions, the OSIPIgold 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 Ktrans 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 Ktrans 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.
Authors
Shalom, ES
Kim, H
van der Heijden, RA
Ahmed, Z
Patel, R
Hormuth, D A, 2nd
DiCarlo, J C
Yankeelov, T E
Sisco, N J
Dortch, R D
Stokes, AM
Inglese, M
Grech-Sollars, M
Toschi, N
Sahoo, P
Singh, A
Verma, SK
Rathore, DK
Kazerouni, AS
Partridge, SC
LoCastro, E
Paudyal, R
Wolansky, IA
Shukla-Dave, A
Schouten, P
Gurney-Champion, OJ
Jiřík, R
Macíček, O
Bartoš, M
Vitouš, J
Das, AB
Kim, S G
Bokacheva, L
Mikheev, A
Rusinek, H
Berks, Michael
Hubbard Cristinacce, Penny L
Little, Ross A
Cheung, Susan
O'Connor, James PB
Parker, GJM
Moloney, B
LaViolette, PS
Bobholz, S
Duenweg, S
Virostko, J
Laue, H O
Sung, K
Nabavizadeh, A
Saligheh Rad, H
Hu, LS
Sourbron, S
Bell, LC
Fathi Kazerooni, A
Affiliation
Department of Radiology, The Christie Hospital NHS Trust, Manchester, UK. Division of Cancer Sciences, University of Manchester, Manchester, UK.
Description
Date
2023
Publisher
Collections
All Paterson Institute for Cancer Research
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Type
Article
Citation
Shalom ES, Kim H, van der Heijden RA, Ahmed Z, Patel R, Hormuth DA, 2nd, et al. The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced challenge. Magnetic resonance in medicine. 2023 Dec 19. PubMed PMID: 38115695. Epub 2023/12/20. eng.
Journal Title
Journal ISSN
Volume Title
URI
http://hdl.handle.net/10541/626858
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