Dose-distance metric that predicts late rectal bleeding in patients receiving radical prostate external-beam radiotherapy.

Phys Med Biol

Department of Radiation Oncology, British Columbia Cancer Agency, Vancouver Centre, 600 West 10th Ave, Vancouver, BC V5Z 4E6, Canada.

Published: December 2012

The relationship between rectal dose distribution and the incidence of late rectal complications following external-beam radiotherapy has been previously studied using dose-volume histograms or dose-surface histograms. However, they do not account for the spatial dose distribution. This study proposes a metric based on both surface dose and distance that can predict the incidence of rectal bleeding in prostate cancer patients treated with radical radiotherapy. One hundred and forty-four patients treated with radical radiotherapy for prostate cancer were prospectively followed to record the incidence of grade ≥2 rectal bleeding. Radiotherapy plans were used to evaluate a dose-distance metric that accounts for the dose and its spatial distribution on the rectal surface, characterized by a logistic weighting function with slope a and inflection point d₀. This was compared to the effective dose obtained from dose-surface histograms, characterized by the parameter n which describes sensitivity to hot spots. The log-rank test was used to determine statistically significant (p < 0.05) cut-off values for the dose-distance metric and effective dose that predict for the occurrence of rectal bleeding. For the dose-distance metric, only d₀ = 25 and 30 mm combined with a > 5 led to statistical significant cut-offs. For the effective dose metric, only values of n in the range 0.07-0.35 led to statistically significant cut-offs. The proposed dose-distance metric is a predictor of rectal bleeding in prostate cancer patients treated with radiotherapy. Both the dose-distance metric and the effective dose metric indicate that the incidence of grade ≥2 rectal bleeding is sensitive to localized damage to the rectal surface.

Download full-text PDF

Source
http://dx.doi.org/10.1088/0031-9155/57/24/8297DOI Listing

Publication Analysis

Top Keywords

dose-distance metric
24
rectal bleeding
24
effective dose
16
prostate cancer
12
patients treated
12
rectal
10
late rectal
8
external-beam radiotherapy
8
dose
8
dose distribution
8

Similar Publications

Background And Purpose: Radiotherapy centers frequently lack simple tools for periodic treatment plan verification and feedback on current plan quality. It is difficult to measure treatment quality over different years or during the planning process. Here, we implemented plan quality assurance (QA) by developing a database of dose-volume histogram (DVH) metrics and a prediction model.

View Article and Find Full Text PDF

A mathematical framework for virtual IMRT QA using machine learning.

Med Phys

July 2016

Radiation Oncology Department, Perelman Center for Advanced Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19123.

Purpose: It is common practice to perform patient-specific pretreatment verifications to the clinical delivery of IMRT. This process can be time-consuming and not altogether instructive due to the myriad sources that may produce a failing result. The purpose of this study was to develop an algorithm capable of predicting IMRT QA passing rates a priori.

View Article and Find Full Text PDF

Dose-distance metric that predicts late rectal bleeding in patients receiving radical prostate external-beam radiotherapy.

Phys Med Biol

December 2012

Department of Radiation Oncology, British Columbia Cancer Agency, Vancouver Centre, 600 West 10th Ave, Vancouver, BC V5Z 4E6, Canada.

The relationship between rectal dose distribution and the incidence of late rectal complications following external-beam radiotherapy has been previously studied using dose-volume histograms or dose-surface histograms. However, they do not account for the spatial dose distribution. This study proposes a metric based on both surface dose and distance that can predict the incidence of rectal bleeding in prostate cancer patients treated with radical radiotherapy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!