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Abstract #2214

Data-driven optimization of intravoxel incoherent motion imaging for clinical endpoints in radiotherapy on a 1.5 T MR-Linac

Andreas Wetscherek1, Brigid A McDonald2, Ernst S Kooreman3, Angus Z Lau4,5, Ramesh Paudyal6, Amita Shukla-Dave6,7, Liam SP Lawrence4,5, Petra J van Houdt3, and Uulke A van der Heide3
1Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 4Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 7Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States


Measuring the detectable effect size is crucial for setting up clinical trials involving quantitative MRI for treatment adaptation, response assessment and outcome prediction in MR-guided radiotherapy. For four different tumor sites (brain, head and neck, prostate and rectum) diffusion-weighted MRI protocols were optimized for intravoxel incoherent motion imaging based on minimizing the mean relative error of the IVIM parameters. For full IVIM model fits, 4-5 b-values were found optimal, while a fit with fixed D* was best performed with 3 b-values. MR-Linac systems currently have limitations regarding gradient performance and number of coil channels and qMRI techniques require careful optimization.

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