Recent developments and best practice in brachytherapy treatment planning

CD Lee - The British journal of radiology, 2014 - academic.oup.com
Brachytherapy has evolved over many decades, but more recently, there have been
significant changes in the way that brachytherapy is used for different treatment sites. This …

Development of a registration framework to validate MRI with histology for prostate focal therapy

HM Reynolds, S Williams, A Zhang… - Medical …, 2015 - Wiley Online Library
Purpose: Focal therapy has been proposed as an alternative method to whole‐gland
treatment for prostate cancer when aiming to reduce treatment side effects. The authors …

Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study

Y Sun, S Williams, D Byrne, S Keam… - The British Journal of …, 2019 - academic.oup.com
Objective: To investigate the association between multiparametric MRI (mpMRI) imaging
features and hypoxia-related genetic profiles in prostate cancer. Methods: In vivo mpMRI …

Predicting prostate tumour location from multiparametric MRI using Gaussian kernel support vector machines: a preliminary study

Y Sun, H Reynolds, D Wraith, S Williams… - Australasian physical & …, 2017 - Springer
The performance of a support vector machine (SVM) algorithm was investigated to predict
prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to …

Focal therapy for prostate cancer: the technical challenges

A Haworth, S Williams - Journal of Contemporary Brachytherapy, 2017 - termedia.pl
Purpose Focal therapy has been proposed as the next major change in the way prostate
cancer is treated; with only sub-regions of the prostate receiving high doses of radiation …

Understanding the relationship between interactive optimisation and visual analytics in the context of prostate brachytherapy

J Liu, T Dwyer, K Marriott, J Millar… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
The fields of operations research and computer science have long sought to find automatic
solver techniques that can find high-quality solutions to difficult real-world optimisation …

Voxel-wise prostate cell density prediction using multiparametric magnetic resonance imaging and machine learning

Y Sun, HM Reynolds, D Wraith, S Williams… - Acta …, 2018 - Taylor & Francis
Background: There are currently no methods to estimate cell density in the prostate. This
study aimed to develop predictive models to estimate prostate cell density from …

Automatic stratification of prostate tumour aggressiveness using multiparametric MRI: a horizontal comparison of texture features

Y Sun, HM Reynolds, D Wraith, S Williams… - Acta …, 2019 - Taylor & Francis
Background: Previous studies have identified apparent diffusion coefficient (ADC) from
diffusion-weighted imaging (DWI) can stratify prostate cancer into high-and low-grade …

Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate Cancer

C Sosa-Marrero, R de Crevoisier… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Purposes of this work were i) to develop an in silico model of tumor response to
radiotherapy, ii) to perform an exhaustive sensitivity analysis in order to iii) propose a …

Ten‐year outcomes using low dose rate brachytherapy for localised prostate cancer: An update to the first Australian experience

C Wilson, D Waterhouse, SE Lane… - Journal of Medical …, 2016 - Wiley Online Library
Introduction To report long‐term prostate‐specific antigen (PSA) and toxicity outcomes for
patients with localised prostate cancer treated with Iodine‐125 permanent implantation at a …