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

 

Abstract

 

Purpose

k trans 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 k trans 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 k trans measurement.

Methods

A framework was created to evaluate k trans values produced by DCE-MRI analysis pipelines to enable benchmarking. The perfusion MRI community was invited to apply their pipelines for k trans quantification in glioblastoma from clinical and synthetic patients. Submissions were required to include the entrants’ k trans 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 k trans 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 k trans 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.

Keywords:

ISMRM , Perfusion Imaging, OSIPI, Dynamic Contrast-Enhanced
Authors:

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 Partridge, Eve LoCastro, Ramesh Paudyal, Ivan A Wolansky, Amita Shukla‐Dave, Pepijn Schouten, Oliver J Gurney‐Champion, Radovan Jiřík, Ondřej Macíček, Michal Bartoš, Jiří Vitouš, Ayesha Bharadwaj Das, S Gene Kim, Louisa Bokacheva, Artem Mikheev, Henry Rusinek, Michael Berks, Penny L Hubbard Cristinacce, Ross A Little, Susan Cheung, James PB O'Connor, Geoff JM 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
Journal:

Magnetic resonance in medicine
Scroll to Top