{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["21"],"submitter":["Finnegan RN"],"pubmed_abstract":["<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 "],"journal":["Physics and imaging in radiation oncology"],"pagination":["136-145"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8913349"],"repository":["biostudies-literature"],"pubmed_title":["A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy."],"pmcid":["PMC8913349"],"pubmed_authors":["Dowling J","Ebert MA","Reynolds HM","Mitchell C","Finnegan RN","Murphy DG","Holloway L","Sykes JR","Williams SG","Haworth A","Sun Y"],"additional_accession":[]},"is_claimable":false,"name":"A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy.","description":"<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 ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-19T20:11:28.306Z","creation":"2025-04-19T20:11:28.306Z"},"accession":"S-EPMC8913349","cross_references":{"pubmed":["35284663"],"doi":["10.1016/j.phro.2022.02.011"]}}