Background/Aim: We established a data-driven method for extracting spatial patterns of
dose distribution associated with radiation injuries, based on patients with prostate cancer …

Aim: To develop a population-based statistical model in order to find a spatial pattern of
dose distribution which is related to lower urinary tract symptoms (LUTS) after iodine-125 …

The majority of current models utilized for predicting toxicity in prostate cancer radiotherapy
are based on dose–volume histograms. One of their main drawbacks is the lack of spatial …

Abstract Background and Purpose Associations between dose and rectal toxicity in prostate
radiotherapy are generally poorly understood. Evaluating spatial dose distributions to the …

Prostate cancer is a frequently diagnosed malignancy worldwide and radiation therapy is a
first-line approach in treating localized as well as locally advanced cases. The limiting factor …

Purpose Toxicity predictive models in prostate radiation therapy are traditionally based on
dose volume histograms, wasting 3D dose distribution information. They are then …

Purpose: Dose information from organ sub-regions has been shown to be more predictive of
genitourinary toxicity than whole organ dose volume histogram information. This study …

Purpose To apply a voxel-based analysis to identify urethrovesical symptom-related
subregions (SRSs) associated with acute and late urinary toxicity in prostate cancer …

Background and purpose This study aims to evaluate the associations between dosimetric
parameters and patient-reported outcomes, and to identify latent dosimetric parameters that …

Purpose Radiomic features, clinical and dosimetric factors have the potential to predict
radiation-induced toxicity. The aim of this study was to develop prediction models of …