Abstract #3757

Implementation of a Multiparametric MRI Model of Glioma Infiltration for Dose Painting Radiotherapy

Caterina Brighi^1,2, David E. J. Waddington^1,2, Farhannah Aly^2,3,4, Eng-Siew Koh^2,3,4, Amy Walker^2,3,4, Philip C. de Witt Hamer^5,6, Niels Verburg^5,6, Lois C. Holloway^2,3,4, Brendan Whelan^1,2, Cathy Chen³, and Paul J. Keall^1,2

¹ACRF Image X Institute, Sydney School of Health Science, The University of Sydney, Eveleigh, Australia, ²Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, Australia, ³Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia, ⁴South West Sydney Clinical School, University of New South Wales, Sydney, Australia, ⁵Brain Tumor Center Amsterdam, Amsterdam University Medical Centre, Amsterdam, Netherlands, ⁶Department of Neurosurgery, Amsterdam University Medical Centre, Amsterdam, Netherlands

Synopsis

Multiparametric MRI (mpMRI) promises to guide dose painting (DP) radiotherapy to improve local control rates in glioblastoma (GBM) patients. In this study we develop a workflow for DP based on a clinically validated mpMRI model of infiltrative tumour in GBM patients. We demonstrate the repeatability of DP prescriptions, the quality of the resulting DP plans, and that DP can improve modelled local control rates over standard radiotherapy in GBM patients. Our findings provide evidence of technical and clinical validation steps, which are key for the clinical translation of mpMRI-based DP in GBM.

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