biostudies-literatureUnknown21Finnegan RN<h4>Background and purpose</h4>Radiation therapy (RT) is commonly indicated for treatment of prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival. This requires accurate spatial localisation and characterisation of tumour lesions. We aimed to generate a statistical, voxelised biological model to complement <i>in vivo</i>multiparametric MRI data to facilitate biologically-optimised RT.<h4>Material and methods</h4>Ex vivo prostate MRI and histopathological imaging were acquired for 63 PC patients. These data were co-registered to derive three-dimensional distributions of graded tumour lesions and cell density. Novel registration processes were used to map these data to a common reference geometry. Voxelised statistical models of tumour probability and cell Physics and imaging in radiation oncology136-145https://www.ebi.ac.uk/biostudies/studies/S-EPMC8913349biostudies-literatureA statistical, voxelised model of prostate cancer for biologically optimised radiotherapy.PMC8913349Dowling JEbert MAReynolds HMMitchell CFinnegan RNMurphy DGHolloway LSykes JRWilliams SGHaworth ASun YfalseA statistical, voxelised model of prostate cancer for biologically optimised radiotherapy.<h4>Background and purpose</h4>Radiation therapy (RT) is commonly indicated for treatment of prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival. This requires accurate spatial localisation and characterisation of tumour lesions. We aimed to generate a statistical, voxelised biological model to complement <i>in vivo</i>multiparametric MRI data to facilitate biologically-optimised RT.<h4>Material and methods</h4>Ex vivo prostate MRI and histopathological imaging were acquired for 63 PC patients. These data were co-registered to derive three-dimensional distributions of graded tumour lesions and cell density. Novel registration processes were used to map these data to a common reference geometry. Voxelised statistical models of tumour probability and cell 2022-01-01T00:00:00Z2022 Jan2025-04-19T20:11:28.306Z2025-04-19T20:11:28.306ZS-EPMC89133493528466310.1016/j.phro.2022.02.011