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 Lau^4,5, Ramesh Paudyal⁶, Amita Shukla-Dave^6,7, Liam SP Lawrence^4,5, 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

Synopsis

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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