Literature DB >> 7493840

A computer-controlled conformal radiotherapy system. I: Overview.

B A Fraass1, D L McShan, M L Kessler, G M Matrone, J D Lewis, T A Weaver.   

Abstract

PURPOSE: Equipment developed for use with computer-controlled conformal radiotherapy (CCRT) treatment techniques, including multileaf collimators and/or computer-control systems for treatment machines, are now available. The purpose of this work is to develop a system that will allow the safe, efficient, and accurate delivery of CCRT treatments as routine clinical treatments, and permit modifications of the system so that the delivery process can be optimized. METHODS AND MATERIALS: The needs and requirements for a system that can fully support modern computer-controlled treatment machines equipped with multileaf collimators and segmental or dynamic conformal therapy capabilities have been analyzed and evaluated. This analysis has been used to design and then implement a complete approach to the delivery of CCRT treatments.
RESULTS: The computer-controlled conformal radiotherapy system (CCRS) described here consists of a process for the delivery of CCRT treatments, and a complex software system that implements the treatment process. The CCRS system described here includes systems for plan transfer, treatment delivery planning, sequencing of the actual treatment delivery process, graphical simulation and verification tools, as well as an electronic chart that is an integral part of the system. The CCRS system has been implemented for use with a number of different treatment machines. The system has been used clinically for more than 2 years to perform CCRT treatments for more than 200 patients.
CONCLUSIONS: A comprehensive system for the implementation and delivery of computer-controlled conformal radiation therapy (CCRT) plans has been designed and implemented for routine clinical use with multisegment, computer-controlled, multileaf-collimated conformal therapy. The CCRS system has been successfully implemented to perform these complex treatments, and is considered quite important to the clinical use of modern computer-controlled treatment techniques.

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Year:  1995        PMID: 7493840     DOI: 10.1016/0360-3016(95)02052-7

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  5 in total

1.  QA issues for computer-controlled treatment delivery: this is not your old R/V system any more!

Authors:  Benedick A Fraass
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008       Impact factor: 7.038

2.  Gold marker displacement due to needle insertion during HDR-brachytherapy for treatment of prostate cancer: a prospective cone beam computed tomography and kilovoltage on-board imaging (kV-OBI) study.

Authors:  Markus K A Herrmann; Tereza Kertesz; Tammo Gsänger; Eugen Bloch; Gerhard Pollul; Mohamed Bouabdallaoui; Arne Strauss; Mareike Herrmann; Hans Christiansen; Hendrik A Wolff; Clemens F Hess; Andrea Hille
Journal:  Radiat Oncol       Date:  2012-02-20       Impact factor: 3.481

3.  A Safe and Practical Cycle for Team-Based Development and Implementation of In-House Clinical Software.

Authors:  Jean M Moran; Kelly C Paradis; Scott W Hadley; Martha M Matuszak; Charles S Mayo; Katherine Woch Naheedy; Xiaoping Chen; Dale W Litzenberg; James Irrer; Maria G Ditman; Pam Burger; Marc L Kessler
Journal:  Adv Radiat Oncol       Date:  2021-09-15

4.  A comparison of computer-controlled versus manual on-line patient setup adjustment.

Authors:  Kristy K Brock; Daniel L McShan; James M Balter
Journal:  J Appl Clin Med Phys       Date:  2002       Impact factor: 2.102

5.  Analysis of couch position tolerance limits to detect mistakes in patient setup.

Authors:  Scott W Hadley; James M Balter; Kwok L Lam
Journal:  J Appl Clin Med Phys       Date:  2009-10-29       Impact factor: 2.102

  5 in total

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