Journal article

Voxel-level biological optimisation of prostate IMRT using patient-specific tumour location and clonogen density derived from mpMRI

EJ Her, A Haworth, HM Reynolds, Y Sun, A Kennedy, V Panettieri, M Bangert, S Williams, MA Ebert

Radiation Oncology | BMC | Published : 2020

Open access

Abstract

Aims: This study aimed to develop a framework for optimising prostate intensity-modulated radiotherapy (IMRT) based on patient-specific tumour biology, derived from multiparametric MRI (mpMRI). The framework included a probabilistic treatment planning technique in the effort to yield dose distributions with an improved expected treatment outcome compared with uniform-dose planning approaches. Methods: IMRT plans were generated for five prostate cancer patients using two inverse planning methods: uniform-dose to the planning target volume and probabilistic biological optimisation for clinical target volume tumour control probability (TCP) maximisation. Patient-specific tumour location and clo..

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University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council


Funding Acknowledgements

mpMRI data collection and machine learning methods development:Australian National Health and Medical Research Council Grant APP1126955 (AH, SW, MAE, HMR)Melbourne International Research Scholarship (YS)Prostate Cancer Foundation of Australia Research Program - Movember Young Investigator Grant (HMR & YS)Cancer Therapeutics Top up Funding (YS) Design of study, data analysis and interpretation of data:Australian Government Research Training Program Scholarship (EJH)