Minimum Bladder Reference Contour To Guide Patient Setup For Prostate Radiotherapy

Image-guided prostate radiotherapy: analysis of inter- fractional setup errors

Introduction: The accuracy of the patient setup and tumor location are major factors that determine the efficacy of radiotherapy treatment planning. In the prostate radiotherapy, reproducibility of the prostate location for each treatment fraction is problematic owing to varying filling of the rectum and bladder. According to this, the aim of this study was to measure the inte...

Surface Imaging for Patient Setup and Monitoring for Breast Radiotherapy

Reproducibility of patient setup by surface image registration system in conformal radiotherapy of prostate cancer

BACKGROUND The reproducibility of patient setup for radiotherapy is based on various methods including external markers, X-rays with planar or computerized image acquisition, and, more recently, surface matching imaging. We analyzed the setup reproducibility of 16 patients affected by prostate cancer who underwent conformal radiotherapy with curative intent by using a surface image registration...

The impact of benign prostatic hyperplasia on bladder volume in radiotherapy of prostate cancer

Background: Benign prostatic hyperplasia (BPH) is a common disease among older men and many patients with prostate cancer (PC) also have BPH. External beam radiation therapy (EBRT) is one of the important treatments for PC, nevertheless, few studies have analyzed the effect of BPH on EBRT. We tried to know the risk of bladder toxicity by analyzing the bladder volume variability in patients with...

A 3D Computer Vision System in Radiotherapy Patient Setup

An approach to quantitatively determine patient surface contours as part of an augmented reality (AR) system for patient position and posture correction was developed. Quantitative evaluation of the accuracy of patient positioning and posture correction requires the knowledge of coordinates of the patient contour. The system developed uses the surface contours from the planning CT data as the r...