A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy.

ABSTRACT:

Background and purpose

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 in vivomultiparametric MRI data to facilitate biologically-optimised RT.

Material and methods

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

SUBMITTER: Finnegan RN 

PROVIDER: S-EPMC8913349 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature